653 Core Data Jobs in Chittoor

Technical Business Analyst to drive the successful launch of a digital assistant within our IT support Slack channels This role will analyze employee interactions coordinate crossfunctional teams and ensure the delivery of highquality knowledge articles and automated solutions to enhance our IT support experience Key Responsibilities Analyze IT support Slack channels to identify common employee requests pain points and automation opportunities Collaborate with IT teams to design and implement and comprehensive knowledge articles for the digital assistant and support engineering teams with knowledge data to support agentic actionbased solutions Author review and maintain clear concise and accurate knowledge articles to support automated resolutions Coordinate and provide quality control over high volumes of knowledge articles produced by other teams ensuring consistency and accuracy Act as a project coordinator managing timelines deliverables and communication across multiple teams to ensure a smooth digital assistant launch Gather and document business requirements user stories and process flows to inform solution design Monitor digital assistant performance postlaunch analyze feedback and recommend continuous improvements Champion best practices in conversational design user experience and IT support automation Must be able to work under own initiative delivering high quality results in a very fast paced environment oWe have 20 Support channels each with 1000 unique requests per month and we want to launch a highquality digital assistant in a different support channel every month from August 2025 Design and maintain structured knowledge models and metadata frameworks optimized for GenAI and LLM technologies eg RAGbased architectures Core Skills Required Business Analysis Requirements gathering process mapping gap analysis and translating business needs into technical solutions Data Analysis Ability to analyze large volumes of unstructured data eg Slack conversations to identify trends and automation opportunities Technical Documentation Writing editing and maintaining clear and concise knowledge articles and technical documentation Project Coordination Managing timelines deliverables and crossteam collaboration Quality Assurance Reviewing and validating content and solutions for accuracy consistency and effectiveness Stakeholder Management Engaging with diverse teams IT Knowledge Management Digital Experience etc and managing expectations Change Management Supporting adoption and training for new digital assistant solutions Communication Strong verbal and written communication skills for both technical and nontechnical audiences Problem Solving Proactive approach to identifying issues and proposing effective solutions User Experience UX Understanding of conversational design and usercentric solution development AISpecific Skills Required Conversational AI Design Experience designing testing and optimizing chatbot or digital assistant conversations and flows Natural Language Processing NLP Understanding of NLP concepts intent recognition and entity extraction AI Training Tuning Ability to train AI models using realworld data refine intents and improve accuracy over time Bot Frameworks Platforms Familiarity with platforms such as Dialogflow Microsoft Bot Framework IBM Watson or similar Integration Skills Experience integrating digital assistants with ITSM tools eg ServiceNow APIs and knowledge bases Analytics Monitoring Ability to use analytics tools to monitor bot performance user satisfaction and identify areas for improvement Content Governance Understanding of how to structure and govern knowledge for optimal AI consumption and retrieval Security Compliance Awareness of data privacy security and compliance considerations in deploying AI solutions at scale Experience with knowledge management platforms ServiceNow Knowledge Base Confluence SharePoint etc Understanding of AIGenAI technologies particularly related to large language models LLMs and retrievalaugmented generation RAG Strong data organization skills including taxonomies metadata standards and information architecture Attributes Experience for a Senior Highly Experienced Candidate Leadership Demonstrated ability to lead crossfunctional teams and drive largescale digital transformation initiatives Strategic Vision Experience developing and executing a roadmap for digital assistant implementation in a complex organization Change Agent Proven track record of championing new technologies and driving adoption across diverse user groups Depth of Experience 7 years in business analysis IT transformation or digital experience roles with at least 3 years working directly with AI or digi

You will be responsible for: - Having at least 4-5 years of experience in building Azure Data platform Solutions or relative BI Experience - Implementing end-to-end data orchestration within the Azure Data Platform - Building and optimizing data pipelines using Azure ETL tools such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Logic Apps, Azure Data Lake Storage, Azure Blob Storage - Designing and deploying data platforms for supporting various data use cases including batch analysis, real-time analytics - Working with Data governance frameworks - Using SQL and Python - Handling Complex T-SQL and Optimizations of queries - Having a good understanding of Data warehousing concepts Qualifications: - Experience in implementing DevOps platforms, frameworks, and tools is a good to have - Experience in Power Platform (Power BI, Power Apps, Power Automate) Xyenta is a data technology company based in London, with core data development and analytics teams in Hyderabad. We specialize in providing data technology solutions, analytics, cloud services, and automation for data-intensive industries. Our solutions are designed to solve clients" data challenges and de-risk their data transformation projects. What we offer: - Opportunity to work on cutting-edge data and AI projects - Collaborative and supportive work environment - Competitive salary and benefits package - Continuous learning and development opportunities,

As an Oracle Business Intelligence & Data Engineer, your role will involve the implementation, configuration, migration, and optimization of data and analytics platforms across on-premises and cloud (Azure) environments. Your core technical expertise should include Oracle Data Integrator (ODI), Oracle PL/SQL, Oracle DBA, and any BI solution. **Key Responsibilities:** - Design, develop, and maintain data integration workflows using Oracle Data Integrator (ODI). - Write and optimize Oracle PL/SQL procedures, functions, and queries. - Develop and manage analytics solutions using Oracle Business Intelligence Enterprise Edition (OBIEE) and Microsoft Power BI. - Install, upgrade, and migrate Oracle BI systems. - Debug, troubleshoot, and resolve issues within existing BI implementations. - Enhance and optimize existing BI code, ETL workflows, and configurations. - Collaborate with business stakeholders to understand reporting needs and deliver scalable, data-driven insights. **Additional Skillsets to be Acquired / Utilized:** - Microsoft SQL Server (MS SQL) on Azure, specifically Managed Instance (MS SQL MI) - SQL Server Integration Services (SSIS) on Azure - Azure Data Factory (ADF) for data integration and orchestration As for installation, configuration, and migration responsibilities, you will be tasked with performing these activities for Oracle Database Enterprise/Standard Edition Versions 19c, 21c, and 23ai, Oracle Business Intelligence Enterprise Edition (OBIEE) Versions 12c and 19c, Oracle Analytics Server (OAS), migration of Oracle Databases across environments, and migration of OBIEE to Oracle Analytics Server (OAS). **Experience & Qualifications:** - 3+ years of experience in Oracle and Microsoft data integration and BI technologies. - Strong knowledge of database concepts, ETL processes, and reporting frameworks. - Hands-on experience with both on-premises and cloud (Azure) environments. - Proven ability to manage complex migrations and upgrades independently. - Excellent troubleshooting and communication skills. As an Oracle Business Intelligence & Data Engineer, your role will involve the implementation, configuration, migration, and optimization of data and analytics platforms across on-premises and cloud (Azure) environments. Your core technical expertise should include Oracle Data Integrator (ODI), Oracle PL/SQL, Oracle DBA, and any BI solution. **Key Responsibilities:** - Design, develop, and maintain data integration workflows using Oracle Data Integrator (ODI). - Write and optimize Oracle PL/SQL procedures, functions, and queries. - Develop and manage analytics solutions using Oracle Business Intelligence Enterprise Edition (OBIEE) and Microsoft Power BI. - Install, upgrade, and migrate Oracle BI systems. - Debug, troubleshoot, and resolve issues within existing BI implementations. - Enhance and optimize existing BI code, ETL workflows, and configurations. - Collaborate with business stakeholders to understand reporting needs and deliver scalable, data-driven insights. **Additional Skillsets to be Acquired / Utilized:** - Microsoft SQL Server (MS SQL) on Azure, specifically Managed Instance (MS SQL MI) - SQL Server Integration Services (SSIS) on Azure - Azure Data Factory (ADF) for data integration and orchestration As for installation, configuration, and migration responsibilities, you will be tasked with performing these activities for Oracle Database Enterprise/Standard Edition Versions 19c, 21c, and 23ai, Oracle Business Intelligence Enterprise Edition (OBIEE) Versions 12c and 19c, Oracle Analytics Server (OAS), migration of Oracle Databases across environments, and migration of OBIEE to Oracle Analytics Server (OAS). **Experience & Qualifications:** - 3+ years of experience in Oracle and Microsoft data integration and BI technologies. - Strong knowledge of database concepts, ETL processes, and reporting frameworks. - Hands-on experience with both on-premises and cloud (Azure) environments. - Proven ability to manage complex migrations and upgrades independently. - Excellent troubleshooting and communication skills.

As a Senior Data Engineer at SpinTheory.ai, you will play a crucial role in architecting, designing, and delivering enterprise-scale data pipelines and cloud-native data platforms using Azure Data Factory and Snowflake. Your work will be essential in powering analytics, reporting, and AI initiatives by building modern, automated, and scalable data ecosystems. Located in Hyderabad, India, you will be at the forefront of data modernization. **Principal Responsibilities:** - Architect and build robust, scalable end-to-end data pipelines using Azure Data Factory and design large-scale, high-availability data platforms using Snowflake. - Modernize and migrate legacy data warehouses and ETL workloads into cloud-native solutions leveraging Snowflake and ADF. - Design and implement advanced data ingestion, transformation, and curation frameworks for structured and semi-structured data from diverse sources. - Implement pipeline orchestration, automation, monitoring, and DataOps/CI-CD practices for the entire data lifecycle. - Optimize Snowflake schema design, query performance, and storage cost management. - Ensure best practices in security, compliance, data governance, and performance tuning across the Azure and Snowflake ecosystem. - Collaborate with analytics, BI, and AI teams to deliver timely, trusted, and AI/ML-ready data products. - Lead technical design sessions and mentor junior engineers on best practices for ADF, Snowflake, and DevOps automation. - Provide production support, including root-cause analysis and performance remediation for data pipelines and platforms. **Qualifications & Technical Skills:** - Advanced expertise in Azure Data Factory (ADF) for pipeline design, orchestration, and integration. - Expert-level experience in Snowflake architecture, including schema design, data sharing, and query performance tuning. - Strong proficiency in SQL, data modeling, and performance tuning across both SQL Server/Synapse and Snowflake. - Hands-on experience with the broader Azure data ecosystem. - Knowledge of CI/CD practices, Git-based workflow, and DevOps for data pipelines. - Proven experience in legacy ETL and data warehouse modernization. - Familiarity with Power BI and streaming technologies is a plus. - Demonstrated leadership in building enterprise-scale data platforms. At SpinTheory.ai, we are dedicated to engineering the future of how organizations harness data and AI. Our core values include Integrity, Customer Success, Collaboration, Continuous Learning, and Bold Innovation. We offer an environment where empowerment, innovation, and continuous learning are fundamental. Join us in creating a future where data and AI accelerate possibilities.,

As a Data Migration Lead based in Dubai, UAE, you will play a crucial role in overseeing the migration of core banking data from legacy systems to Finacle. Your responsibilities will include: - Leading and managing the complete data migration lifecycle, from scoping and design to implementation. - Reviewing and validating data mapping between legacy systems and Finacle. - Ensuring high data quality through reconciliation, validation, and post-migration checks. - Collaborating closely with business users, IT teams, and vendor partners to align requirements. - Planning and overseeing testing phases, including unit, integration, and UAT. - Documenting data migration methodologies and ensuring compliance with internal and regulatory standards. - Identifying and mitigating data migration risks. - Mentoring and guiding team members involved in migration activities. To qualify for this role, you should have: - A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Minimum 10 years of IT experience, including 3 or more core banking data migration projects with Finacle experience being mandatory. - Strong command of SQL and data migration tools. - Deep understanding of core banking modules such as Assets, Liabilities, Trade Finance, and General Ledger. - Excellent stakeholder management, communication, and analytical skills. - Preferred certifications in ITIL, Governance, or Project Management.,

Role Overview: You will be responsible for designing, building, and optimizing modern data platforms as a Senior Data Analytics/Engineer. Your expertise in Python, Snowflake, Databricks, and SQL will be crucial for leading data engineering initiatives and contributing to high-impact analytics projects. You will also play a key role in driving best practices across the organization. Key Responsibilities: - Design, develop, and maintain scalable data pipelines and workflows using Python, Snowflake, and Databricks. - Build and automate ELT/ETL processes while following best practices in data modeling and transformation. - Develop transformation models with DBT Core to standardize and streamline data operations. - Optimize large-scale datasets for performance, reliability, and accessibility. - Write advanced, high-performance SQL queries for data extraction, transformation, and analysis. - Implement and manage CI/CD workflows using GitHub Actions for automated testing, deployment, and version control. - Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions. - Ensure data integrity, security, and governance across platforms. - Troubleshoot complex data issues and implement long-term automation and monitoring solutions. - Stay updated with emerging data engineering tools and best practices. Qualification Required: - 5+ years of experience in Data Engineering or Senior Data Analytics roles. - Strong proficiency in Python for data engineering and automation. - Hands-on experience with Snowflake and Databricks environments. - Expert-level SQL skills and experience working with large datasets. - Experience with DBT Core (highly preferred). - Experience in implementing CI/CD pipelines using GitHub Actions. - Solid understanding of data warehousing, data modeling (e.g., Kimball, Data Vault), and ETL/ELT principles. - Familiarity with cloud platforms like AWS, Azure, or GCP. - Strong problem-solving abilities and capability to work independently in a fast-paced environment. Preferred Qualifications: - Experience with infrastructure-as-code or automation tools. - Knowledge of testing frameworks for data validation (e.g., Great Expectations). - Experience working in an agile environment.,

As a Microsoft Azure Data & AI Engineer with expertise in .NET and Python, your role will involve architecting and delivering intelligent solutions using Azure's advanced data and AI capabilities. You will collaborate with globally distributed teams and be responsible for the following key responsibilities: - Designing and implementing scalable data platforms using Azure services such as Azure Data Factory, Synapse Analytics, Data Lake, Azure SQL, and Microsoft Fabric - Developing robust ETL/ELT pipelines and real-time data ingestion workflows using Python and/or .NET - Building and operationalizing AI/ML models using Azure Machine Learning, Cognitive Services, and Azure OpenAI - Integrating ML and data services with enterprise applications via APIs and microservices using Python (FastAPI) or .NET Core - Collaborating with data scientists, solution architects, and business teams to deploy intelligent solutions - Implementing security, compliance, and governance measures for sensitive data across Azure workloads - Setting up and managing CI/CD pipelines with GitHub Actions or Azure DevOps - Monitoring performance, optimizing costs, and ensuring high availability of data and AI platforms In terms of required skills and experience, you should have: - 5+ years of experience with Azure Data Services (Data Factory, Data Lake, Synapse, Azure SQL, Cosmos DB) - Proficiency in Python and .NET Core for data engineering and backend development - Hands-on experience in end-to-end AI/ML pipelines on Azure Machine Learning - Understanding of modern data architectures and unstructured data processing - Exposure to Generative AI tools such as Azure OpenAI and Cognitive Services - Knowledge of Power BI, Microsoft Fabric, and advanced data visualization methods - Experience with SQL, performance tuning, and large-scale data transformations - Familiarity with containerized deployments, DevOps practices, and infrastructure-as-code tools like ARM, Bicep, or Terraform - Deep understanding of RBAC, PII/PHI security, data encryption, and Azure governance Preferred qualifications include Microsoft Certifications (e.g., DP-203, AI-102, AZ-204, AZ-400), knowledge of LangChain, Vector DBs, or RAG pipelines, and experience with Data Mesh, MLOps, or Enterprise AI deployment strategies. In addition to technical skills, soft skills such as strong communication, stakeholder engagement, leadership in technical discussions, and collaboration across time zones will be essential for success in this role. You will also need to be proactive, self-motivated, detail-oriented, and willing to travel occasionally for project needs. Joining this team will offer you a remote-first culture with flexible work arrangements, the opportunity to work on cutting-edge Azure Data & AI projects, cross-industry exposure with global enterprise clients, and a collaborative, innovative, and high-performance team environment.,

You will be joining P&G, a renowned consumer goods company with a rich history of over 180 years. At P&G, you will have the opportunity to contribute to breakthrough innovations, lead initiatives, and work in creative spaces where new ideas thrive. You will receive continuous mentorship, collaborate with peers, and be part of a dynamic and encouraging work environment that values every individual and promotes work/life balance. **Role Overview:** As a Senior Data/Software Engineer in the Data Quality team of Data & Analytics Core Data Lake Platform, your role will involve leveraging modern Agile and DevOps practices to design, develop, test, and deploy IT systems and applications. You will work on global projects in multinational teams, focusing on enhancing data quality processing. **Key Responsibilities:** - Design, develop, and maintain data quality (DQ) libraries using Python. - Support the design, build, and optimization of data pipelines for data processing and analytics. - Implement data quality metrics monitoring to ensure compliance with data quality dimensions. - Collaborate with data engineers, analysts, and other stakeholders to understand data quality requirements. - Evaluate and integrate open-source libraries for data quality into existing frameworks. - Troubleshoot and resolve data-related issues in a timely manner. - Document processes, data models, and system architecture for knowledge transfer and compliance. - Engineer applications throughout their lifecycle, from development to deployment, upgrade, and replacement/termination. - Ensure that development and architecture align with established standards, including modern software engineering practices like CICD, Agile, and DevOps. **Qualifications Required:** - Self-motivated individual with a strong background in data engineering. - Proficiency in Agile and DevOps practices. - Experience in designing, developing, and deploying IT systems and applications. - Knowledge of data quality frameworks and libraries, particularly in Python. - Ability to collaborate effectively with cross-functional teams. - Familiarity with open-source technologies and modern software engineering standards (Azure, DevOps, SRE). - Strong troubleshooting and problem-solving skills. - Excellent communication and documentation abilities. Join P&G's Data Quality team and contribute to delivering value through innovative data solutions that support the company's global business operations.,

You will be joining Dell Technologies as a Full Stack Data Architect & MCP Security Architect on the IT Architecture Team in Hyderabad. Your role will involve translating clients" business requirements into specific system designs, applications, and processes for customized technical solutions. You will be responsible for designing, developing, and implementing total systems solutions to meet the enterprise-wide technical requirements of customers. Additionally, you will collaborate with the IT Architecture team to ensure that the solution aligns with the needs of sales and delivery. Key Responsibilities: - Managing the design of multiple service areas or technologies within a broader services solution, as well as overseeing the technical implementation for large and complex engagements - Leading a technical team in developing solutions for complex business problems - Participating or leading customer presentations at the senior executive level - Supporting research, discovery, planning, and implementation efforts to enhance business processes - Implementing information technology architecture and total systems solutions to meet the enterprise-wide systems requirements of the customer Qualifications Required: - Architect and implement on-premises Data Lake solutions to support structured, semi-structured, and unstructured data - Design and develop full-stack applications, including backend services and frontend interfaces, to enable data-driven use cases - Build and manage data pipelines and workflows using Apache Airflow - Develop and maintain relational and graph databases such as PostgreSQL, Microsoft SQL Server (MSSQL), and Neo4j - Create and manage CI/CD pipelines using GitLab for version control, testing, and deployment Desirable Qualifications: - Bachelors or Masters degree in Computer Science, Information Systems, or a related field - 8+ years of experience in software engineering and data architecture roles Dell Technologies believes in the power of each team member to make an impact and places its employees at the core of its operations. If you are seeking an opportunity to advance your career with cutting-edge technology and innovative minds, Dell Technologies welcomes you to join their team. Application closing date: 15 November 2025 Dell Technologies is committed to equal employment opportunity for all employees and providing a work environment free of discrimination and harassment.,

As a Salesforce Architect specializing in Data Cloud & Agentforce at CloudFulcrum, your role will involve owning the design and implementation of data-centric and AI-enabled solutions on the Salesforce platform. You will primarily focus on Salesforce Data Cloud along with other Salesforce clouds such as Sales, Service, Experience, and Marketing. This is a senior individual contributor role that requires deep hands-on experience and sufficient breadth to guide the design and review work from others. Key Responsibilities: - Design end-to-end Salesforce solutions utilizing Data Cloud as the unified data layer for customers, products, and interactions. - Define high-level architecture including objects, Data Cloud model, integrations, and activation patterns back into core Salesforce clouds. - Configure data streams and Data Model Objects (DMOs) from Salesforce and external sources. - Set up identity resolution, unification, and basic calculated insights. - Build segments and activations to create/update records in the relevant Salesforce clouds. - Implement and review configuration and automation including Flows, validation rules, page layouts, and record types. - Use Apex for complex or cross-cloud logic when necessary. - Collaborate on AI use cases where Agentforce, Einstein 1, or Prompt Builder consume Data Cloud as context. - Work with integration specialists to define clean Salesforce-side contracts and mappings. - Ensure designs are integration-friendly and promote best practices for data quality, security, performance, and maintainability. - Perform design and code reviews for Salesforce and Data Cloud changes. Core Skills & Experience: Must-Have: - 7+ years of overall Salesforce Development experience with senior engineer or solution-lead responsibilities. - Strong experience with at least one major Salesforce cloud and a solid understanding of others. - Practical experience with Salesforce Data Cloud, including setting up data streams & DMOs, configuring identity resolution & unification, and building segments. - Ability to collaborate with architects, product owners, and business SMEs to translate requirements into implementable designs. Nice-to-Have: - Experience with Agentforce, Einstein 1, or Prompt Builder. - Exposure to integration platforms like MuleSoft or consuming REST/streaming APIs from ERPs, data platforms, or marketing tools. - Relevant Salesforce certifications such as Data Cloud Consultant, Application Architect, Sales/Service Cloud Consultant, Platform Developer I/II.,

Role Overview: You will be part of the Business System Owner team within the Order to Serve (O2S) Global Process Owner organization in Barcelona. Your role will involve supporting the implementation of customer master data management within the iShift program to ensure successful deployment of standardized end-to-end processes across all regions. Your key focus areas will include supporting core model processes for customer master data management, ensuring system design and configuration meet business requirements, contributing to change management and stakeholder engagement activities, supporting process and system testing with K-users, and collaborating with Global Process Leads for process design and improvements. Key Responsibilities: - Assist in data gathering activities for customer master data across assigned business units or geographies - Conduct initial data validation and identify basic inconsistencies or gaps in customer data - Document business scenarios related to customer master data - Collect and organize as-is information, including process flows and system landscapes for customer data management - Support the analysis of current customer data practices alignment with planned S/4HANA design - Gather performance metrics and KPIs for customer master data processes - Assist in creating and maintaining stakeholder mapping - Support the development of implementation roadmaps for customer data management - Contribute to gap analysis between current and target operating model for customer master data - Help translate gaps into business requirements for customer data management Qualifications Required: - Educational Background: Bachelor's degree in business-related fields; Master's degree is a plus - Professional Experience: 3-5 years" experience in Customer Master Data Management, experience in transformation programs involving customer data, familiarity with SAP implementation projects (particularly S/4HANA and MDG), understanding of customer data management within order-to-cash processes, knowledge of data governance principles Additional Details of the Company: Join Sanofi in Barcelona and step into a new era of science where your growth can be just as transformative as the work they do. Sanofi invests in their employees to reach further, think faster, and achieve what's never been done before. You will help push boundaries, challenge convention, and build smarter solutions that reach the communities they serve. If you are ready to chase the miracles of science and improve people's lives, let's Pursue Progress and Discover Extraordinary together.,

As an experienced and dynamic Platform Services Lead at HSBC, your primary responsibility will be to drive operational excellence, service reliability, and platform enablement across the Data Platform and Standards Technology domain. You will play a crucial role in ensuring the smooth, secure, and resilient operation of foundational data services supporting Data Catalogues, Data Quality, Data Lineage, Data Retention, and Data Privacy capabilities. Key Responsibilities: - Lead end-to-end service delivery and platform operations for core data governance technologies such as Data Quality, Catalogue, Privacy, Lineage, and Retention. - Define and govern service resilience strategy, including monitoring, alerting, capacity management, disaster recovery, and failover design. - Establish and enforce SLAs, KPIs, and operational performance metrics across the platform estate. - Collaborate with Engineering, IT Service Owners (ITSO), and Cybersecurity teams to embed observability, DevSecOps, and compliance practices. - Drive adoption of self-healing, automated remediation, and infrastructure-as-code to improve uptime and reduce operational overhead. - Lead incident and problem management processes, including root cause analysis, stakeholder communications, and corrective actions. - Oversee platform change management and environment stability in alignment with regulatory and audit requirements. - Optimize platform cost, license management, and usage efficiency across cloud and on-prem deployments. - Partner with Product and Delivery teams to enable controlled rollout of new features, platform upgrades, and regulatory enhancements. - Support regulator and internal risk reviews with transparency and evidence of platform service controls. - Champion a culture of operational excellence, proactive risk management, and continuous improvement across global support teams. Qualifications Required: - 18+ years of relevant experience in technology service management, platform operations, or infrastructure leadership, ideally in data or governance domains. - Proven experience managing mission-critical platforms in hybrid cloud environments (e.g., GCP, on-prem Hadoop or data warehouses, AWS, Azure). - Strong understanding of ITIL service management practices and automation frameworks. - Experience with monitoring and observability tooling. - Familiarity with data management technologies such as Collibra, PyDQ, BigID, Graph Databases is essential. - Strong knowledge of regulatory and control frameworks applicable to enterprise data services (e.g., GDPR, BCBS 239, SOX, etc.). - Demonstrated ability to manage global teams, vendors, and complex matrixed environments. - Excellent problem-solving, communication, and incident handling skills with the ability to interact effectively with senior stakeholders. At HSBC, you will have the opportunity to contribute to the bank's data transformation strategy by ensuring the trust, reliability, and scalability of key data governance platforms used across all business lines and geographies. Join us in championing a culture of operational excellence and continuous improvement.,

As an experienced Commercial Data Strategy & Leadership Manager at AVEVA, you will be responsible for owning and advancing the commercial data strategy to ensure a single source of truth for reporting, analytics, and AI/ML initiatives. Your key responsibilities will include: - Providing strategic directions for data integration and management. - Leading, mentoring, and developing a team of Commercial Data Intelligence Analysts. - Driving best practices in data modeling, pipeline development, and AI-ready data preparation. - Overseeing the design, implementation, and maintenance of scalable ETL/ELT pipelines using Microsoft-based tools. - Partnering with business and analytics teams to prepare structured, clean, and enriched datasets for machine learning, predictive modeling, and recommendation engines. - Collaborating with senior leaders across commercial, sales, and operations functions to define data requirements and design analytical solutions. - Establishing standards for data quality, governance, and validation. - Overseeing the development of complex SQL queries, data models, and integration pipelines to support scalable analytics, AI workflows, and operational reporting. Qualifications required for this role include: - A Bachelors or masters degree in data engineering, Computer Science, Information Systems, or related field. - 10+ years of experience in data integration, engineering, or commercial data management roles, with at least 2 years in a leadership capacity. - Strong expertise in SQL, data modeling, ETL/ELT pipelines, and cloud-based platforms. - Proven experience in leading teams to deliver AI/ML-ready datasets and analytics solutions. - Knowledge of data governance, quality frameworks, and commercial system data structures. - Excellent problem-solving skills, with a strong focus on data accuracy, integrity, and usability. - Outstanding communication and collaboration skills, with experience engaging senior stakeholders and cross-functional teams. About AVEVA: AVEVA is a global leader in industrial software with a commitment to embedding sustainability and inclusion into its operations, culture, and core business strategy. With cutting-edge solutions used by thousands of enterprises worldwide, AVEVA is dedicated to delivering essential services safely, efficiently, and sustainably. If you are passionate about driving growth, tackling complex business challenges, and fostering strong customer relationships, you will find success and fulfilment as a part of AVEVA's Commercial team. To learn more about AVEVA and explore career opportunities, visit: https://www.aveva.com/en/about/careers/,

Location Hyderabad Work Mode Work from office Position : 6 Month contract to HIRE ( full time)  ONLY IMMEDIATE JOINERS   We are looking for a Data Analyst to support the CORE migration initiative. The ideal candidate will have strong SQL expertise, preferably in Snowflake, and hands-on experience in data analysis and validation. Familiarity with Power BI for reporting and visualization will be an added advantage. Key Responsibilities: Perform detailed data analysis, profiling, and validation to support data migration activities.Develop and optimize SQL queries for data extraction, transformation, and quality checks.Collaborate with business and technical teams to understand source and target data structures.Identify data quality issues, inconsistencies, and recommend corrective actions.Support end-to-end data reconciliation between legacy and new systems.Create and maintain Power BI reports or dashboards (if required) for migration tracking and validation.Document data mappings, transformation logic, and validation rules. Required Skills & Experience: 3 to 6 years of experience as a Data Analyst or in a similar data-focused role.Strong proficiency in SQL; experience in Snowflake highly preferred.Solid understanding of data analysis techniques, data quality, and reconciliation processes.Experience working with large datasets and relational databases.Exposure to Power BI or similar BI tools is desirable.Excellent analytical, communication, and problem-solving skills.Ability to work independently with offshore and onshore stakeholders. Preferred Qualifications: Experience with data migration or system modernization initiatives.Knowledge of ETL workflows or data integration concepts.Understanding of cloud data platforms and performance tuning in Snowflake

Your role will involve working with a variety of technologies including Asp.Net Core, C# .Net, WebAPI, TypeScript, SQL Server, MySQL, and various UI technologies such as HTML, CSS, JavaScript, jQuery, and Bootstrap. Key Responsibilities: - Utilize your experience in Asp.Net Core with a minimum of 1+ year to develop and maintain applications. - Apply your expertise in C# .Net, WebAPI, and TypeScript to create efficient and scalable solutions. - Manage databases using SQL Server and MySQL to ensure data integrity and performance. - Implement user interfaces using HTML, CSS, JavaScript, jQuery, and Bootstrap for a seamless user experience. - Communicate effectively with team members and stakeholders to understand requirements and provide updates on progress. Qualifications Required: - Experience in Asp.Net Core for at least 1 year is mandatory. - Proficiency in C# .Net, WebAPI, TypeScript, SQL Server, MySQL, HTML, CSS, JavaScript, jQuery, and Bootstrap. - Strong communication skills to collaborate with team members and stakeholders effectively.,

As a Data Analyst at the company, your primary role will involve developing SQL queries and maintaining dashboards and reports in Power BI. You will be responsible for designing and implementing advanced data models to support the business needs. Your expertise will be crucial in leading complex data analysis projects that drive data-driven decision-making. Additionally, you will conduct data validation to ensure accuracy, consistency, and integrity, while also mentoring junior analysts by providing technical guidance and support. Collaboration with stakeholders to understand data requirements and translating them into actionable insights will be a key aspect of your role. Effective communication of insights to business stakeholders will enable informed decision-making. **Key Responsibilities:** - Develop, optimize, and maintain queries in SQL for data extraction and transformation. - Build and manage interactive dashboards and reports using Power BI Desktop. - Utilize Python (Basic) for data manipulation and automation as needed. - Design and implement scalable data models for efficient analytics. - Ensure accuracy, consistency, and reliability of data through data validation and integrity checks. - Guide and support junior analysts to foster a strong data-driven culture. **Qualifications Required:** - Proficiency in SQL for query development and maintenance. - Experience in building interactive dashboards and reports in Power BI Desktop. - Basic knowledge of Python for data manipulation and automation. - Strong skills in data modeling for designing scalable data models. - Attention to detail to ensure data accuracy, consistency, and reliability. - Ability to mentor and support junior analysts effectively. At DAZN, innovation and ambition are at the core of everything we do. We are game-changers and pioneers in the industry, constantly pushing boundaries to make an impact. As a part of our team, you will have the opportunity to drive change and make a difference. We are using cutting-edge technology to transform sports and revolutionize the industry, ensuring fans and customers have access to sports anytime, anywhere. DAZN VALUES: - **Agility and Creativity:** Fuel growth and innovation to Make It Happen. - **Prioritizing Impact:** Drives progress and positive outcomes by focusing on what matters. - **Collective Ambition:** Builds optimism and success to Win As One. Joining our Employee Resource Groups (ERGs) - Proud@DAZN, Women@DAZN, Disability@DAZN, and ParentZone - gives everyone the opportunity to contribute to our DEI journey and make a positive impact. We strive to make our hiring processes as accessible as possible, including providing adjustments for interviews when needed. We are excited to hear from you and welcome your application. As a Data Analyst at the company, your primary role will involve developing SQL queries and maintaining dashboards and reports in Power BI. You will be responsible for designing and implementing advanced data models to support the business needs. Your expertise will be crucial in leading complex data analysis projects that drive data-driven decision-making. Additionally, you will conduct data validation to ensure accuracy, consistency, and integrity, while also mentoring junior analysts by providing technical guidance and support. Collaboration with stakeholders to understand data requirements and translating them into actionable insights will be a key aspect of your role. Effective communication of insights to business stakeholders will enable informed decision-making. **Key Responsibilities:** - Develop, optimize, and maintain queries in SQL for data extraction and transformation. - Build and manage interactive dashboards and reports using Power BI Desktop. - Utilize Python (Basic) for data manipulation and automation as needed. - Design and implement scalable data models for efficient analytics. - Ensure accuracy, consistency, and reliability of data through data validation and integrity checks. - Guide and support junior analysts to foster a strong data-driven culture. **Qualifications Required:** - Proficiency in SQL for query development and maintenance. - Experience in building interactive dashboards and reports in Power BI Desktop. - Basic knowledge of Python for data manipulation and automation. - Strong skills in data modeling for designing scalable data models. - Attention to detail to ensure data accuracy, consistency, and reliability. - Ability to mentor and support junior analysts effectively. At DAZN, innovation and ambition are at the core of everything we do. We are game-changers and pioneers in the industry, constantly pushing boundaries to make an impact. As a part of our team, you will have the opportunity to drive change and make a difference. We are using cutting-edge technology to transform sports and revolutionize the industry, ensuring fans and customers have access to sports anytime, anywhere. DAZN VALUES: - **Agility and Creativity:

You are seeking a Data Engineer based in Hyderabad (Work from Office) with expertise in data engineering, ETL, and Snowflake development. The role will involve SQL scripting, performance tuning, Matillion ETL, and working with cloud platforms such as AWS, Azure, or GCP. Proficiency in Python or scripting languages, API integrations, and knowledge of data governance is necessary. Snowflake certifications, specifically SnowPro Core/Advanced, are preferred. Responsibilities - Minimum 5+ years of experience in data engineering, ETL, and Snowflake development. - Proven expertise in Snowflake including SQL scripting, performance tuning, and data warehousing concepts. - Hands-on experience with Matillion ETL for building and maintaining ETL jobs. - Strong understanding of cloud platforms (AWS, Azure, or GCP) and cloud-based data architectures. - Proficiency in SQL, Python, or other scripting languages for automation and data transformation. - Experience with API integrations and data ingestion frameworks. - Knowledge of data governance, security policies, and access control within Snowflake environments. - Excellent communication skills with the ability to engage both business and technical stakeholders. - Self-motivated professional capable of working independently and delivering projects on time. Skills Required - Data Engineering & Snowflake: Expertise in data engineering, ETL processes, Snowflake development, SQL scripting, and performance tuning. - ETL & Cloud Platforms: Hands-on experience with Matillion ETL, cloud platforms (AWS, Azure, or GCP), and API integrations. - Programming & Data Governance: Proficiency in Python or scripting languages with knowledge of data governance, security policies, and access control.,

As a Program Analyst at Qualcomm India Private Limited, you will have the opportunity to be a part of the QIPL Core platform Program Management team. Your role will involve driving requirements scoping, analysis, and planning across multiple tech teams, including interdependencies, staffing, and schedules. Working on cutting-edge software and hardware technologies, you will gather data related to software activities, generate reports, metrics, and charts, and track deliverables involving cross-regional collaboration. Additionally, you will be responsible for putting together project plans, driving programs, providing status updates, and reports with minimal supervision. **Key Responsibilities:** - Drive requirements scoping, analysis, and planning across multiple tech teams - Gather data related to software activities and generate reports, metrics, and charts - Track deliverables involving cross-regional collaboration - Put together project plans, drive programs, provide status updates, and reports with minimal supervision **Qualifications Required:** - Bachelor of Engineering/Technology degree in EE / ECE / CS or related field - 8+ years of combined experience in Engineering and Project/Program Management - 2+ years of Project/Program/Engineering Management experience in the technology industry - Experience with reporting and presentation tools such as MS Project, MS PowerPoint, MS Excel, MS Visio, Tableau, JIRA, Bug/Issue trackers, and Resource/Task trackers - Good to have: Knowledge and understanding of Embedded systems and associated SW design & development Please note that Qualcomm is an equal opportunity employer and is committed to providing accessible processes for individuals with disabilities. If you need an accommodation during the application/hiring process, you can email disability-accommodations@qualcomm.com or call Qualcomm's toll-free number. Furthermore, Qualcomm expects its employees to adhere to all applicable policies and procedures, including security and confidentiality requirements. If you are an individual seeking a job at Qualcomm, please reach out to Qualcomm Careers for more information about this role.,

Role Overview: As an SC Digital Core S4 Japan+ Consultant at Accenture, your role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. You will be a part of the Supply chain and operations practice, helping organizations reimagine and transform their supply chains for tomorrow with a positive impact on the business, society, and the planet. Your main responsibilities will include providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance. Key Responsibilities: - Provide strategic advisory services and conduct market research to enhance business performance. - Help organizations reimagine and transform their supply chains for tomorrow. - Drive design workshops with clients and be responsible for requirement gathering, solution design, and gap analysis in areas like S4 EWM/TM/PP/SD/MM/PM. - Lead a team of functional consultants for tasks related to design workshops, configuration, testing, UAT, Cutover, GO-Live & Post GO-Live support activities. - Support business assessment and roadmaps for clients, advising on S/4HANA led Supply Chain transformation. - Support project and practice leadership in expanding opportunities with existing clients through innovative solutioning. - Develop cutting-edge Point of View (POV)/articles on bringing differentiation and innovation to SAP led transformations. - Contribute to knowledge sharing efforts and continuous improvement of processes. Qualifications Required: - Domain knowledge in Supply Chain Management in the areas of Logistics, Warehousing, Manufacturing & Sales processes is desirable. - Experience in any of S4HANA functionalities: EWM/TM/PP/SD/MM/PM. - Strong analytical and writing skills to build viewpoints on industry trends. - Excellent communication, interpersonal, and presentation skills. - Cross-cultural competence with an ability to thrive in a dynamic environment. - Ability to travel on short notice. - Minimum of 2 years of large-scale SAP consulting experience in supply chain capabilities. Additional Information: Accenture offers you the opportunity to work on innovative projects, experience career growth, and gain leadership exposure. Join us in making supply chains work better, faster, and be more resilient in an ever-changing world.,

Role Overview: You will play a crucial role as a Data Scientist at Google, supporting the worldwide user base by providing quantitative support, market understanding, and a strategic perspective to partners across the organization. Your expertise in analytics will help partners make informed decisions based on data insights. Collaborating with teams, you will apply Google's best Data Science techniques to the enterprise's biggest opportunities, working with Research, Core Enterprise ML, and ML Infrastructure teams to develop solutions. Key Responsibilities: - Define and report Key Performance Indicators and launch impact during regular business reviews with cross-functional leadership teams - Collaborate with Product Management, User Experience, and Engineering to contribute to metric-backed annual OKR setting - Formulate hypotheses to enhance the performance of AI products based on offline and online metrics - Design and develop ML strategies for data enrichment, such as autoencoder-based latent variables and complex heuristics - Develop variance reduction and simulation strategies to increase experiment reliability with small sample sizes - Translate business problems into unsupervised and supervised ML modeling problems, building model prototypes from scratch to validate business impact hypothesis Qualifications Required: - Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field - 5 years of work experience with analysis applications and coding in Python, R, SQL (or 2 years of work experience with a Master's degree) - Experience in developing at least one deep learning model for business impact - Proficiency in handling large-scale data transformation pipelines for batch inference of ML models Additional Company Details: The TALENTMATE Portal aims to streamline the processes of searching, interviewing, and hiring for professionals by providing a platform to connect job seekers with potential employers, all under one roof. Whether you are looking for your next job opportunity or seeking potential employers, TALENTMATE is here to offer assistance. (Note: The company website and job function details were not provided in the job description),