6,378 Data Specialist Jobs in Hyderabad

We are currently hiring for the role of Sales Manager/Engineer for one of our esteemed clients in Mumbai Location. Please find the detailed JD below: Position :- Big Data Developer Location :- Pune Experience : 5+ Years  Job Description A Big Data Developer specializes in designing, building, and managing systems that handle large amounts of data using technologies like Hadoop or Spark. Here's a breakdown of the role: Mandatory Skills-API Development & Integration, JAVA, Spark, BIG Data Development & Data Engineering. Key Responsibilities: - Designing and Building Big Data Applications: Collaborate with team members to create big data applications, requiring a wide range of skills, including Big Data, Python, Java, and data modelling. - Coding and Testing: Spend most of the day coding, testing, and fixing bugs in big data applications. - Data Management: Manage data processing systems, perform ETL tasks, and ensure data quality. - Infrastructure Management: Select and integrate Big Data tools and frameworks, monitor performance, and advise on infrastructure changes. If intrested Please share your updated CV and below details Total Exp in Big Data -Exp in SQL - Exp in Linux - Current CTC - Current Location -Notice Period - Reason for change -  -------------------------- Thanks & Regards,Evoke HR Solutions Pvt Ltd || +91 6358853287

Job Description We are seeking an experienced Snowflake Database Administrator DBA to join our team The ideal candidate will have a deep understanding of Data Warehousing fundamentals and concepts with a proven track record in Snowflake administration Key Responsibilities Database Management Oversee and manage Snowflake databases including user management security management performance tuning high availability space management and backuprecovery processes Automation Implement and support automation for production deployments in Snowflake Automate database administration tasks using PLSQL shell scripts and other relevant scripting languages Troubleshooting Diagnose and resolve Snowflake database errors ensuring minimal downtime and disruption to services Security Implement and enforce data encryption decryption and masking policies to protect sensitive PIIPCI data Conduct regular user security audits to ensure compliance with organizational policies Performance Optimization Demonstrate proficiency in index design query plan optimization and analysis to enhance database performance Tune Snowflake databases to optimize query performance Capacity Planning Create and maintain Snowflake utilization and capacity plans to ensure efficient resource usage and scalability Scripting and Automation Develop scripts and workflows using languages such as Python and PowerShell as well as automation tools like Ansible and Terraform to streamline database provisioning configuration and maintenance tasks Monitoring and ing Implement automated monitoring and ing systems to proactively identify and address performance issues security vulnerabilities and other databaserelated concerns Qualifications Snowflake DBA AWS SQL ETL concepts Airflow or any orchestration tools Data Warehousing concepts Proficiency in scripting languages eg Python Shell and automation tools eg Ansible Terraform Experience in database performance tuning security management and automation Ability to diagnose and troubleshoot database issues effectively Excellent problemsolving and communication skills

Job Title: GenAI Technical Support Advisory Lead L25 Support Layer Location: India Remote or India Office Work Hours: US Time Zone Active until 300 PM PST Role Overview We are looking for a handson leader with expertise in Generative AI and enterprise AI chat technologies who can serve as an L25 support layer bridging the gap between frontline support L2 and deep technical experts L3 This person will act as the first point of escalation for AIrelated technical questions ensure quality in responses and coordinate with global colleagues to resolve complex queries This role is part technical support part advisory ensuring internal teams have the right AI tools workflows and knowledge to work effectively Key Responsibilities Serve as the primary point of contact for escalated technical queries related to Generative AI GenAI the internal enterprise AI chat solution and AIassisted workflows Provide direct technical assistance and guidance to users escalate to and collaborate with L3 subjectmatter experts when necessary Ensure accuracy consistency and quality in responses provided to internal teams Document solutions best practices and repeatable workflows for common queries Monitor and analyze support requests to identify training opportunities system improvements or process optimizations Stay updated on emerging AI tools prompt engineering techniques and integration capabilities Required Qualifications Proven experience in Generative AI technologies including enterprise AI chat solutions eg Azure OpenAI Anthropic Claude Google Gemini or custom internal AI chat platforms Strong technical troubleshooting and problemsolving skills especially in complex AI workflows Excellent communication skills with the ability to explain technical concepts clearly to nontechnical audiences Experience acting in an L25 role or similar owning escalations and bridging between support and engineering teams Proactive resourceful and comfortable working across time zones Strong documentation and knowledge management skills Preferred Qualifications Experience working in a technology support or AI advisory role Familiarity with AI integration platforms eg n8n Zapier Workato or workflow automation tools Exposure to prompt engineering best practices

Job Vacancy For:-10th pass, 12th pass, Graduate/Post Graduate and Fresher can also apply Roles: Data Entry, Self Employed, Typist, Freelancer, Fresher, Data Entry Operator Skills Basic Computer Knowledge and Basic Typing skills Computer Laptop Or Android Phone Is Compulsory Working hours are flexibleWork from any location Office, Home or while travelling. You can continue with your regular job and work parallelly.Basic requirement computer and internet Qualification:12th and above Freshers are Welcome No Target No Work Pressure Full Time Jobs  

Were hiring Data Engineer Professionals across multiple roles! Location: Hyderabad / Chennai Experience: 5 to 10 Years Mode: Walk-in Drive Immediate Joiners Preferred Open Roles: 1 Data Engineer AWS, PySpark 2 Data Engineer Snowflake, AWS (Good to have: DBT / Python) 3 ETL Tester with experience in any ETL Development Tool If you're passionate about building scalable data solutions and want to be part of a dynamic team this is your chance!

Location - LTIM Pan IndiaExperience - 5+to 12+ yrsGeneric JD-Mandatory Skills - Data Science, Gen AI, Python, RAG and Azure/AWS/GCP, AI/ML, NLP Secondary - (Any) Machine Learning, Deep Learning, ChatGPT, Langchain, Prompt, vector stores, RAG, llama, Computer vision, Deep learning, Machine learning, OCR, Transformer, regression, forecasting, classification, hyper parameter tunning, MLOps, Inference, Model training, Model DeploymentJD_ More than 6 years of experience in Data Engineering, Data Science and AI / ML domainExcellent understanding of machine learning techniques and algorithms, such as GPTs, CNN, RNN, k-NN, Naive Bayes, SVM, Decision Forests, etc.Experience using business intelligence tools (e.g. Tableau, PowerBI) and data frameworks (e.g. Hadoop)Experience in Cloud native skills.Knowledge of SQL and Python; familiarity with Scala, Java or C++ is an assetAnalytical mind and business acumen and Strong math skills (e.g. statistics, algebra)Experience with common data science toolkits, such as TensorFlow, KERAs, PyTorch, PANDAs, Microsoft CNTK, NumPy etc. Deep expertise in at least one of these is highly desirable.Experience with NLP, NLG and Large Language Models like BERT, LLaMa, LaMDA, GPT, BLOOM, PaLM, DALL-E, etc.Great communication and presentation skills. Should have experience in working in a fast-paced team culture.Experience with AIML and Big Data technologies like AWS SageMaker, Azure Cognitive Services, Google Colab, Jupyter Notebook, Hadoop, PySpark, HIVE, AWS EMR etc.Experience with NoSQL databases, such as MongoDB, Cassandra, HBase, Vector databasesGood understanding of applied statistics skills, such as distributions, statistical testing, regression, etc.Should be a data-oriented person with analytical mind and business acumen.

Job ID: ITC/G/20251029/22301 Role: GCP Data Engineer Location: Hyderabad Status: Open   Role Overview This role focuses on designing, developing, testing, and deploying data models and transformations on Google Cloud Platform, primarily using BigQuery and Data Fusion. The engineer will be responsible for building scalable data pipelines, optimizing data structures for analytics and visualization, and supporting CI/CD automation. Key Responsibilities Design and develop GCP-based data models and ETL/ELT pipelines. Build and deploy transformations in BigQuery and Data Fusion. Optimize data views and datasets for reporting and visualization use cases. Manage and maintain code repositories, artifacts, and deployment workflows. Implement CI/CD pipelines using tools like Git, Jenkins, Ansible, etc. Perform data preparation, wrangling, and quality checks. Work with relational, dimensional, and preferably Data Vault data models. Collaborate in a hybrid work environment with cross-functional teams. Required Skills Google Cloud Platform (GCP) BigQuery Data Fusion SQL / T-SQL Ansible CI/CD Tools (Git, Jenkins) Data Modeling (Relational, Dimensional; Data Vault preferred) Data Wrangling & Preparation Qualification B.Tech (Computer Science, IT, or related field preferred) Experience 6-15 years in Data Engineering / Cloud Data Platforms Salary Range 10,00,000 - 27,00,000 (based on experience and skill level)

We are looking Azure DB - ResilienceGood experience on the design and implementation of resilient, highly available (HA), and fault-tolerant (DR) architectures for Azure database services with technically guided, managed and governed the team. Willing to provide 24x7 support, flexible to work in the shifts Primary skills:KEY RESPONSIBILITIESAzure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB(API & vCore): Design and implement resilient architectures for Azure database services including Azure SQL( DB & MI), MySQL, PostgreSQL, and Cosmos DB. Develop and maintain High Availability (HA), Disaster Recovery (DR) solutions including zone redundancy, geo-redundancy, failover groups, read replicas, and backup/restore strategies in accordance with business SLAs and RTO/RPO requirements. Design solutions that include auto-failover, replication, zone and region redundancy, and graceful degradation. Evaluate and implement active-active or active-passive deployment models where appropriate. Create documentation for architecture patterns, failover processes, recovery steps, and operational runbooks. Monitor and optimize performance, and availability of Azure PaaS database workloads. Serve as the subject matter expert (SME) for database resilience in enterprise environments. Conforming to client compliances and expectations This role may entail shift & after-hours support on an on-call basis.Mandatory Technical skills required Good working experience all HA and DR solutions for Azure SQL (DB & MI), MySQL, PostgreSQL, and Cosmos DB (API & vCore). Migrating to Azure Databases Day to-day HA/DR administration activitiesGood to have: Any of the following certificate:o Microsoft Certified: Azure Database Administrator Associate Soft Skills: Good customer connects. Prepare solution presentations. Positive attitude and excellent communication skills to manage customer calls. Excellent problem-solving skills. Good communication. Educational Qualification: BCA/MCA/BE/B.Tech or equivalent.

Job Title: GCP Data Engineer Employment Type: Permanent Industry of the Employer: IT / Software Services Department / Functional Area: Data Engineering, Cloud Engineering Job Description GREETINGS FROM HUCON Solutions Hiring for Leading MNC GCP Data Engineer Role: GCP Data Engineer Skills: GCP, Python, SQL, BigQuery, ETL Data Pipeline Experience: 59 Years Locations: Chennai, Kochi, Bangalore, Hyderabad, Pune Eligibility Criteria Strong hands-on experience in Python, Pandas, NumPy Expertise in SQL and solid understanding of Data Warehousing concepts In-depth knowledge of GCP Services including: BigQuery, Cloud Run, Pub/Sub, Cloud Storage, Spanner, Cloud Composer, Dataflow, Cloud Functions Experience with Docker, Kubernetes, GitHub Strong communication and analytical skills Working experience with PySpark, Data Modeling, Dataproc, Terraform Google Cloud Professional Data Engineer certification is highly preferred Role Responsibilities Design, develop, and manage robust and scalable ETL / ELT pipelines on GCP using Dataflow, Cloud Run, BigQuery, Pub/Sub, and Cloud Composer Implement data ingestion workflows for structured and unstructured data sources Build and maintain data warehouses and data lakes using BigQuery, Cloud Storage, and other GCP tools Work with data modeling, architecture, and ETL/ELT frameworks Ensure best practices in performance, optimization, and cloud data management Keywords / Skills GCP, Python, SQL, BigQuery, ETL, Data Pipeline, Data Engineering, Cloud Run, Pub/Sub, Cloud Storage, Dataproc, Terraform, Kubernetes, Docker, Dataflow Total Experience: 5 to 9 Years Salary Type: Yearly Annual Salary Offered: As per company standards Job Type: Full Time Shift Type: Day Shift / Rotational (based on project requirement) Location of the Job: Chennai | Kochi | Bangalore | Hyderabad | Pune

We are currently hiring for the position of SFMC CDP Data Cloud Developer at Capgemini. Your profile aligns with our requirements, and we would like to share the role details for your review. Role: SFMC CDP Data Cloud DeveloperGrade: C1 Experience Required: 6 to 10 years Location Options: Hyderabad, Bangalore, Chennai, Mumbai, Kolkata, Pune, Noida, Gurugram Role Responsibilities:Drive discussions on SFMC user stories and requirements with stakeholdersArchitect solutions across Marketing and CRM landscapeLead end to end SFMC deliverables for large marketing initiativesCreate use cases, user stories, and proof of conceptsMap Marketing Cloud data models to CRM solutionsDevelop training plans and conduct end user sessionsWork extensively on Email Studio including A B testing, segmentation, personalization, and triggered sendsAct as a key Capgemini representative to bridge business and technical teamsCreate HLD documents and support proposal responses and RFPsProvide best practices for SFMC and CDP implementation and deploymentSupport Salesforce Data Cloud Lead on technical estimations and project planningCoordinate with Salesforce support on upgrades, patches, and configuration best practicesPresent solutions around digital marketing, marketing automation, and data management Technical Skills Required:Minimum 5 years of hands on Marketing Cloud development experienceStrong experience in Salesforce Data Cloud and SFMC integrationsKnowledge of Journey Builder, Automation Studio, Email Studio, Social StudioExperience with Data Cloud modules such as event tracking, API and SDK integration, Salesforce connectors, Apex, JavaScript, and JSONStrong understanding of CDP components including Contact Builder, Audience Builder, Content Builder, and AutomationsCRM integration knowledge with SFDC or other CRM toolsGood understanding of security, roles, access controls, and campaign data governanceExpertise in data architecture, identity resolution, duplicate management, consent management, segmentation, and subscriber managementKnowledge of AMPscript, reporting tools like Tableau or Datorama, and Production deployment processesGood to have experience with mobile push notifications, Interaction Studio, Advertising Studio, and DMPMandatory: Salesforce Data Cloud CertificationGood to Have: SFMC Certification If you are interested in exploring this opportunity, kindly share the following details: Total ExperienceRelevant Experience in SFMC and Data CloudCurrent LocationPreferred LocationCurrent CTCExpected CTCNotice PeriodSalesforce Data Cloud Certification statusUpdated ResumeLooking forward to your response. Thanks & Regards,TA Team Capgemini

About the Role This is an exciting software engineer role reporting to the Senior Engineering Manager. You will engineer innovative applications and services using Generative AI GenAI You will work with cutting edge technologies creating new experiences and services Key Responsibilities Engineer well architected efficient scalable stable and secure web applications and backend services with an emphasis on APIs and backend services Develop scalable Generative AI systems that can be used across multiple projects and platforms Stay UpToDate with modern software engineering practices procedures and paradigms and apply this knowledge to software Collaborate with an international engineering and product team Experience Please note that you do not need to qualify for all requirements to be considered We encourage you to apply if you can meet most of the requirements and are comfortable opening a dialogue to be considered Bachelor Masters degree in Computer Science Computer Engineering or related field or equivalent experience Python experience GenAI concepts knowledge JS or similar technologies backend Java NET hyperscale's Google Cloud Azure, AWS and have Python experience Experience working with VCS tools such as GIT Experienced in branching merging and building CICD pipelines Experience with security protocols such as oAuth Microsoft Entra ID SSO Okta and securing applications using them, Experience to development and deployment of applications using Docker Kubernetes. Experience working with varied integration patterns REST SOAP gRPC Web Sockets Batch Webhooks Handson experience creating unit test cases integration test cases perform code reviews, Experience managing version control solutions static code analysis and performing code reviews You have experience with load testing troubleshooting and optimizing performance of web services, Clear communication and excellent problem-solving skills, Enjoy working independently and in a team environment Beneficial Experience Experience using Generative AI software engineering solutions such as Cursor Git, Hub CoPilot, Knowledge of reinforcement learning natural language processing and other advanced AI techniques Experience with cloud based AI services and IaaC such as Terraform and Ansible, You have experience working in large data driven services Experience with Generative AI solutions such as Azure AI Studio AWS Bedrock and Hugging Face

About the Role We are seeking a highly skilled Senior Data Engineer with deep expertise in Snowflake and strong proficiency in SQL to join our Data Insights Engineering team The ideal candidate should have handson experience designing and building scalable data pipelines optimizing data warehouses and enabling advanced analytics This role requires strong data engineering fundamentals experience in Pythonbased ETLELT development and working knowledge of BI tools like Tableau to support business stakeholders Key Responsibilities Design develop and maintain data pipelines and workflows on Snowflake Write highly optimized SQL queries transformations and stored procedures for complex data engineering use cases Architect and implement data models schemas and warehouse structures that support analytics and reporting Integrate data from multiple sources databases APIs files streaming into Snowflake using PythonETL frameworks Optimize Snowflake performance warehouses caching clustering partitioning cost control Partner with analysts and business teams to deliver clean reliable datasets for Tableau and other reporting tools Implement data quality checks monitoring and ing for critical pipelines Collaborate with crossfunctional teams Data Scientists Analysts Product Engineering Contribute to best practices in data governance documentation and security Required Skills Experience 7 years of handson Data Engineering experience Strong expertise in Snowflake warehouses roles RBAC tasks streams procedures Snowpark a plus Expertlevel SQL query optimization advanced analytics functions performance tuning Proficiency in Python for ETL ELT scripting and automation Experience with Tableau for dashboarding and data validation Solid knowledge of data modeling data warehousing concepts and ELT pipelines Strong understanding of cloud data platforms AWS preferred Familiarity with CICD Git Docker and orchestration tools Airflow dbt etc

Senior Snowflake Data Engineer Location: PAN India Experience: 8+ Years Skills: Snowflake, dbt, FiveTran, Snowpipe, AWS (MWAA, S3, Lambda), GitHub CI/CD Job Description We are looking for an experienced Senior Snowflake Data Engineer with strong expertise in modern data warehousing, cloud technologies, and ELT pipeline development. The ideal candidate should have deep hands-on experience in Snowflake, dbt, cloud environments, and CI/CD practices, with the ability to design scalable and efficient data solutions. Key Responsibilities Analyze, integrate, model, and interpret large and complex datasets from multiple sources. Design and implement ELT data pipelines using dbt with Snowflake as the primary cloud data warehouse. Build efficient and scalable data transformation pipelines using dbt at an advanced level. Work with ETL/ELT and data governance tools such as FiveTran and Alation. Utilize advanced Snowflake features such as RBAC, Dynamic Tables, and various optimization techniques. Ensure strong data modelling and warehousing practices across diverse database technologies. Manage orchestrations using Apache Airflow or AWS MWAA, along with CI/CD pipelines. Oversee continuous deployment, monitoring, and operations of data solutions using GitHub Actions, Terraform, and other DevOps tools. Collaborate with technical and non-technical stakeholders through effective communication. Contribute to building future-state Data Warehouse capabilities using cutting-edge technologies. Adapt and work efficiently within Agile methodology. Preferred Qualifications 2+ years of hands-on experience with Snowflake as a Cloud Data Warehouse and Data Lake platform. Strong understanding of cloud environments, especially AWS (S3, Lambda, MWAA). Airline industry domain experience is a plus.

Job Title Recruitment Specialist Job Summary As a Recruitment Specialist at Taggd, you will drive full-cycle hiring for marquee clients across diverse industries (IT, Manufacturing, Automotive, Pharma, Consumer, etc.). You will ensure a high-quality, efficient, and outcome-driven recruitment process combining sourcing, stakeholder management, assessments, and data-driven decision making while delivering exceptional candidate and client experience. Key Responsibilities End-to-End Recruitment Lifecycle Manage the complete recruitment lifecycle for assigned roles: job requisition, candidate sourcing, screening, interviewing, assessment, offer coordination, and closure. Create and publish job advertisements across relevant channels (job boards, social media, professional networks, referrals, etc.). Build, maintain and manage a strong candidate pipeline active as well as passive to meet high-volume and diverse hiring mandates. Stakeholder & Client Management Liaise with hiring managers and clients to understand job requirements, role specifications, and delivery timelines. Provide regular updates to stakeholders on hiring status, candidate pipelines, and recruitment metrics (time-to-hire, source of hire, quality of hire, etc.). Candidate Screening & Assessment Screen resumes/applications to shortlist candidates based on defined criteria (skills, experience, cultural fit). Conduct initial screening (phone/video/in-person), coordinate further assessments or interviews, and support evaluation decisions. Maintain accurate candidate records, recruitment data, status updates in ATS or recruitment tracker. Process Excellence & Data-Driven Hiring Leverage data and recruitment analytics to monitor process KPIs and drive continuous improvement. Implement recruitment best practices, maintain consistency and quality standards in hiring across clients and roles. Candidate Experience & Employer Branding Ensure seamless, professional and positive experience for all candidates from first contact through offer stage. Represent Taggds brand professionally when interacting with candidates, clients, and external networks. Qualifications & Skills Bachelors degree in Human Resources, Business Administration, or related discipline (or equivalent work experience). Proven experience in full-cycle recruitment / talent acquisition preferably across multiple industries and handling high-volume mandates. Strong sourcing skills ability to leverage job boards, social media, professional networks, referrals, and passive talent pools. Excellent interpersonal, communication and stakeholder-management skills able to engage with clients, hiring managers and candidates across all levels. Capability to manage multiple roles simultaneously while maintaining quality, speed, and adherence to SLA (service-level agreement) and quality standards. Proficiency with Applicant Tracking Systems (ATS), recruitment tools, databases, and recruitment metrics/tracking. Data-driven mindset comfortable tracking and analysing recruitment metrics, recommending improvements, optimizing sourcing strategies.

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

Sr Python Gen AI engineers Job Summary Develop generative AI solutions on AWS focusing on LLMs prompt engineering RAG and agentic AI using n8n and Python libraries like LangChain Key Requirements 8 Points 1Build LLMs eg Anthropic Claude on AWS Bedrock with boto3 2Finetune LLMs on AWS SageMaker using transformers and LoRA 3Create prompts with langchain for optimized LLM outputs 4Develop RAG pipelines with AWS OpenSearch and langchain 5Build AI agents with crewai or autogen on AWS Lambda 6Implement agentic workflows in n8n eg n8nioworkflows6270 7Deploy apps with Docker on Amazon ECSEKS 8Monitor performance with Amazon CloudWatch and wandb MustHave Skills 5 years Python experience with 2years in GenAILLMs Expertise in AWS Bedrock SageMaker Lambda boto3 Proficiency in transformers langchain crewai autogen wandb Experience with n8n workflows RAG prompt engineering Preferred Skills AWS certification Machine LearningSolutions Architect Familiarity with llamaindex n8n templates

Sr Python Gen AI engineers Job Summary Develop generative AI solutions on AWS focusing on LLMs prompt engineering RAG and agentic AI using n8n and Python libraries like LangChain Key Requirements 8 Points 1) Build LLMs eg Anthropic Claude on AWS Bedrock with boto3 2) Finetune LLMs on AWS SageMaker using transformers and LoRA 3) Create prompts with langchain for optimized LLM outputs 4) Develop RAG pipelines with AWS OpenSearch and langchain 5) Build AI agents with crewai or autogen on AWS Lambda 6) Implement agentic workflows in n8n eg n8nioworkflows6270 7) Deploy apps with Docker on Amazon ECSEKS 8) Monitor performance with Amazon CloudWatch and wandb Must Have Skills 5 years Python experience with 2years in GenAILLMs Expertise in AWS Bedrock SageMaker Lambda boto3 Proficiency in transformers langchain crewai autogen wandb Experience with n8n workflows RAG prompt engineering Preferred Skills AWS certification Machine LearningSolutions Architect Familiarity with llamaindex n8n templates

Role Overview: As a Senior Data Specialist in our team, your primary focus will be on developing DBT ETL pipelines for data ingestion and transformation. You will be responsible for maintaining, deploying, and versioning the ETL process using GIT CI/CD for DevOps. Collaborating with global teams, you will actively develop, enhance, and maintain data pipelines and workflows for marketing data and metrics. Additionally, you will play a key role in designing easy, repeatable, and reusable automation data frameworks to drive effective decision-making through innovative POC solutions for new marketing metrics. Key Responsibilities: - Develop DBT ETL pipelines for data ingestion and transformation. - Maintain, deploy, and version the ETL process using GIT CI/CD for DevOps. - Actively develop, enhance, and maintain data pipelines and workflows for marketing data and metrics. - Design and develop easy, repeatable, and reusable automation data frameworks. - Collaborate with global teams across North America, EMEA, and APAC. - Assist in building POC solutions for new marketing metrics to drive effective decision-making. - Responsible for end-to-end data management activities, including identifying fields, data lineage, integration, performing data quality checks, analysis, and presenting data. Qualifications Required: - Proficiency in DBT, ETL, Snowflake, Airflow, Python, and GIT. - Experience with tools like AWS, dbt, Airflow, and Snowflake. - Familiarity with source systems such as Salesforce Sales Cloud, Google Analytics, and Data Cloud. - Strong understanding of metrics such as Pipeline, CSP, Product Usage and Ops, Web. - Ability to work in a hybrid environment, with 3 days in the office in Hyderabad and flexibility to visit client offices as needed.,

As a Data Scientist at our company, your role will involve the following key responsibilities: - Business & Strategy Alignment - Proactively engage with business stakeholders, product managers, and domain experts to deeply understand key organizational challenges and strategic goals. - Formulate and scope data science initiatives, defining clear objectives, success metrics, and a technical roadmap that directly addresses identified business requirements. - End-to-End Model Development & Deployment - Design, prototype, build, and validate machine learning and statistical models from scratch, without reliance on pre-packaged solutions. - Implement and manage MLOps pipelines within Azure Machine Learning to ensure reproducible model training, versioning, testing, and continuous deployment into live operational environments. - Collaborate with DevOps and engineering teams to ensure algorithms run efficiently and scale reliably within the cloud environment. - Data Engineering & Feature Management - Execute complex data ingestion, exploration, and feature engineering tasks, applying rigorous statistical methods and domain knowledge to raw and disparate datasets. - Ensure data integrity throughout the modeling lifecycle, performing extensive Exploratory Data Analysis (EDA) and cleaning to prepare high-quality inputs. - Advanced AI & Innovation (Preferred/Plus) - Explore, experiment with, and deploy large language models (LLMs) and other Gen AI techniques to create new products or optimize existing processes. - Investigate and prototype intelligent software agents capable of autonomous decision-making, planning, and tool use, moving beyond simple predictive models. - Code Quality & Collaboration - Write clean, well-documented, and efficient Python code, adhering to software engineering best practices, including unit testing and code reviews. - Mentor junior team members and contribute to the growth of the team's overall ML/AI knowledge base. Required Qualifications: - Education: Master's degree or higher in Computer Science, Statistics, Mathematics, or a related quantitative field. - Programming Mastery: 5+ years of professional experience leveraging Python for data science, including deep expertise in the PyData stack (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). - Cloud ML Platforms: Proven, hands-on experience building and managing ML models and MLOps workflows specifically using Azure Machine Learning services. - Statistical Rigor: Strong background in statistical modeling, experimental design (A/B testing), and model validation techniques. - Data Skills: Expert proficiency in SQL and experience working with large-scale, high-velocity data, including ETL/ELT processes and data visualization. Preferred Qualifications (A Significant Plus): - Generative AI Experience: Practical experience fine-tuning, RAG-ifying, or deploying modern Large Language Models (LLMs). - Agent Development: Knowledge of agentic frameworks and experience designing multi-step, tool-using autonomous AI workflows. - Experience with other cloud platforms (AWS Sagemaker, GCP Vertex AI) is beneficial. - Demonstrated ability to write production-level, highly optimized code for critical systems.,

As a Data Visualization Specialist, your role involves designing, building, and maintaining dynamic and user-friendly dashboards using Tableau and Looker. You will be responsible for developing and optimizing LookML models in Looker, as well as managing data exploration layers for reusable insights. Your key responsibilities will include: - Collaborating with data engineers, analysts, and business stakeholders to understand reporting requirements and deliver relevant visualizations - Ensuring data accuracy, performance tuning, and alignment with business KPIs and metrics - Maintaining version control, content organization, and user access in Tableau Server and Looker environments - Implementing best practices in visualization design, layout, interactivity, and storytelling - Supporting the migration and redesign of legacy dashboards into Tableau or Looker as required - Automating reporting workflows and enabling self-service BI through guided dashboards - Collaborating with IT or data platform teams to troubleshoot connectivity, access, and integration issues Qualifications required for this role include: - At least 5 years of hands-on experience in data visualization using Tableau and Looker - Strong expertise in LookML, dashboard development, and explore setup in Looker - Proficiency in Tableau Desktop and Tableau Server/Public, with solid knowledge of calculated fields, parameters, filters, and Tableau dashboards - Good understanding of data modeling, SQL, and working with large, complex datasets (preferably in Snowflake, BigQuery, or SQL Server) - Familiarity with data governance, permissions management, and user licensing in Tableau and Looker - Ability to apply design principles, storytelling techniques, and UX best practices in dashboards - Strong communication and stakeholder management skills Additionally, experience with Power BI, Power Automate, or migration projects from other BI tools would be considered a bonus.,