1,771 Data Warehousing Jobs in New Delhi

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: 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

Data Engineer Azure Data Factory, SQL, Python, Databricks, ETL  Data Engineer .Net + Azure Data Factory  We are seeking a skilled Data Engineer to join our team. The ideal candidate will be responsible for designing, implementing, and maintaining data systems and architectures that support our business needs. This role requires expertise in working with large datasets, cloud technologies, and advanced data platforms to ensure the availability, quality, and accessibility of data for business analytics and decision-making. Key Responsibilities: Design, build, and maintain data pipelines to collect, process, and store data efficiently from various sources. Work with cross-functional teams to understand business requirements and deliver data solutions that meet the needs of the organization. Optimize data storage and retrieval methods to enhance system performance and data quality. Integrate data from multiple sources (databases, data lakes, cloud storage, etc.) to build comprehensive data sets. Build and maintain data infrastructure, ensuring it is scalable, reliable, and secure. Implement and manage data governance policies, ensuring data accuracy, consistency, and compliance. Conduct data modeling and provide insights into the data through advanced analytics tools and reports. Perform data transformations and data wrangling tasks to prepare data for analysis. Troubleshoot data issues and collaborate with stakeholders to resolve technical challenges. Ensure the integrity of data pipelines and systems by conducting routine testing and validation. Required Skills and Qualifications: Bachelors degree in Computer Science, Engineering, Information Systems, or related field. Proven experience as a Data Engineer or in a similar role, with a minimum of [X] years of experience. Proficiency in data engineering tools and technologies such as SQL, Python, Java, Scala, and ETL frameworks. Experience working with cloud platforms (AWS, Azure, GCP) and data storage solutions (e.g., Redshift, Snowflake, BigQuery). Solid understanding of data modeling, database design, and cloud data architectures. Hands-on experience with data warehousing concepts and tools (e.g., Apache Hive, Apache Spark). Familiarity with data orchestration tools such as Apache Airflow, Azure Data Factory. Knowledge of real-time data streaming technologies (e.g., Kafka, Kinesis) is a plus. Strong problem-solving skills and ability to troubleshoot complex data issues. Familiarity with data security best practices and data privacy regulations (e.g., GDPR, HIPAA).

AWS Data Engineer  Requirements  3+ year of experience working on AWS Cloud platform with strong experience in Python Knowledge on AWS services such as - AWS S3, Glue, API Gateway, Crawler, Athena, Cloudwatch, Lambda, EC2, Route53, IAM, Aurora/Dynamic DB, Redshift is an advantage Knowledge/experience on CI/CD deployment tools (CloudFormation, Terraform, Jenkins) Experience/knowledge with streaming technologies is must preferably Kafka Should have knowledge/experience with SQL Experience developing REST API Good analytical skills Knowledge or experience developing microservices Familiar working on Linux platforms Have good understanding on pros and cons and the cost impact of the AWS services being leveraged Good Communication skills

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 Description We are seeking an experienced Data Modeler with 4 to 9 years of experience to join our team.The ideal candidate will be responsible for designing implementing and supporting data structures that ensure data integrity and facilitate accurate timely information retrieval. The Data Modeler will work closely with analysts architects and database developers to design datasets that align with business requirements and technical constraints. Responsibilities Design and implement data models to support business requirements ensuring consistency and integration across various data sources. Develop and maintain conceptual logical and physical data models optimizing them for performance scalability and ease of use. Collaborate with stakeholders to identify data requirements and translate them into technical specifications. Ensure data models align with the organizations data architecture and data governance standards. Design and implement data integration processes using ETL extract transform load tools and technologies ensuring data quality and completeness. Work with database administrators to ensure database designs support business needs and are optimized for performance. Maintain and update data dictionaries metadata repositories and data modeling documentation. Troubleshoot and resolve issues related to data quality integration and model design. Provide guidance and mentorship to junior team members as needed. Stay current with industry best practices and emerging trends in data modeling and data architecture. Requirements 2 to 5 years of experience in developing data pipelines and solutions using Azure Data Factory ADF Azure Synapse Analytics and Databricks Strong proficiency in SQL TSQL and familiarity with Azure SQL Database andor Azure Synapse Analytics SQL pools Experience with ADF pipeline orchestration and data ingestion from various sources such as databases APIs and file systems Knowledge of Spark and Databricks for data processing transformations and data analytics Familiarity with data modeling and schema design in Azure Synapse and Azure SQL Databases Understanding of data integration data warehousing and ETL concepts Proficiency in Azure cloud services and infrastructure particularly related to data processing and analytics Strong problemsolving and troubleshooting skills Qualifications Bachelors degree in Computer Science Information Technology or a related field 4 to 9 years of experience in data modeling data architecture or related areas Proficiency in data modeling tools such as ERStudio Erwin or similar Strong understanding of relational databases data warehousing concepts and SQL Experience with big data technologies and platforms Hadoop Spark NoSQL databases is a plus Strong analytical problemsolving and communication skills Ability to work collaboratively in a team environment and with crossfunctional stakeholders Experience in AgileScrum development environments is advantageous

Exp: 2+Years loc:Turbhe np:Immediate to 30 Days  SQL experience  Python coding required Azure or other cloud environment Alteryx experience or other data management tool Tableau experience or other business intelligence tool  Databricks experience or other big data platform   ankitapisal@peshr.com/9004076848

As a candidate with over 10 years of experience, you will be responsible for the following: - Extensively working on data extraction, transformation, and loading data from various sources such as Oracle, SQL Server, and Flat files in the Data Warehousing process. - Utilizing Informatic Power Center for extraction, Python for transformation, and loading (ETL) of data. - Developing complex mappings in Informatic to effectively load data from diverse sources. - Possessing good knowledge of software configuration management systems. - Staying aware of the latest technologies and industry trends. - Demonstrating logical thinking and problem-solving skills, along with the ability to collaborate effectively. - Understanding financial processes for various project types and available pricing models. - Assessing current processes, identifying improvement areas, and proposing technology solutions. - Having knowledge in one or two industry domains. - Showcasing client interfacing skills. - Demonstrating project and team management capabilities. Qualifications Required: - Extensive experience in Data Warehousing, specifically in data extraction, transformation, and loading from sources like Oracle, SQL Server, and Flat files. - Proficiency in using Informatic Power Center for ETL processes. - Ability to develop intricate mappings in Informatic for data loading.,

As a highly skilled SQL Developer at Fusion Practices, your role will involve working with large-scale data warehouse environments and bringing strong expertise in Microsoft SQL Server, Power BI, and banking domain concepts, particularly financial products and regulatory/financial requirements. Your key responsibilities will include: - Designing, developing, and maintaining high-performance MS SQL databases, stored procedures, and T-SQL queries tailored to banking systems and financial reporting. - Developing and implementing business intelligence solutions using Microsoft Power BI, including crafting dashboards, reports, and data visualizations for financial and regulatory analysis. - Working on data modeling, SSIS packages, SQL Agent jobs, SSRS reports, and Power BI dashboards with a focus on banking data and compliance needs. - Collaborating with stakeholders and business users to gather requirements related to financial products, reporting standards, and risk/regulatory needs. - Translating complex financial data requirements into scalable and performant technical solutions. - Implementing and maintaining RESTful APIs, supporting integrations with front-end frameworks (Angular/React) and back-end systems (.NET/C#). - Performing performance tuning, debugging, unit testing, and documentation for all solutions developed. - Ensuring adherence to compliance, audit, and financial reporting standards. Qualifications required for this role include: - 10+ years of hands-on experience with MS SQL Server, T-SQL, SSIS, SSRS, SQL Agent. - Strong expertise in Microsoft Power BI for data visualization and reporting. - Strong programming background in C#, JavaScript, and .NET framework. - Proven experience in the banking domain, particularly with financial products like loans and deposits. - Familiarity with financial reporting frameworks, regulatory compliance, and data privacy standards. - Knowledge of HTML, CSS, and front-end technologies (Angular/React) is a plus. - Strong grasp of version control tools (Git) and Agile methodologies. Please note that this job description is provided by Fusion Practices.,

Role Overview: Working at Citi means being part of a team of over 230,000 dedicated individuals worldwide. As a Data Engineer at Citi, you will play a crucial role in developing high-quality data products to support the Banks regulatory requirements and data-driven decision-making. Your work will contribute to the evolution and growth of one of the world's most global banks, shaping the future of banking technology. Key Responsibilities: - Utilize big data platforms such as Hadoop, Hive, or Snowflake for data storage and processing - Apply data modeling techniques for the design, optimization, and maintenance of data models and structures - Proficiency in programming languages like Python and PySpark for data engineering tasks - Understand Data Warehousing concepts and database management - Demonstrate problem-solving and decision-making skills to contribute to business outcomes on an agile team - Manage deadlines and unexpected changes in expectations or requirements effectively Qualifications Required: - 5-8 years of relevant experience in data engineering - Bachelors degree or equivalent experience in a related field - Strong understanding of data architecture standards, data warehousing, and business intelligence - Ability to work under pressure and collaborate effectively with team members and customers Additional Company Details: Citi is committed to providing resources to meet your unique needs, empowering you to make healthy decisions, and managing your financial well-being for a secure future. Join us in building the future of banking technology and making a real impact on a global scale. Note: For any accessibility needs or accommodation requirements, review Accessibility at Citi. View Citis EEO Policy Statement and the Know Your Rights poster for more information.,

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 highly skilled Data Business Analyst, your role will involve working closely with business stakeholders, data engineers, and product teams to translate business requirements into effective data solutions. It is essential to have expertise in SQL, Data Warehousing concepts, ETL processes, Data Modeling, and Data Mapping. Experience with cloud-based data platforms is an added advantage. **Key Responsibilities:** - Collaborate with business stakeholders to gather, analyze, and document data requirements - Translate business needs into functional specifications, data models, and process flows - Perform deep-dive data analysis using advanced SQL queries - Work with ETL and data engineering teams to ensure accurate data pipelines and transformations - Support Data Warehousing initiatives, including data modeling (conceptual, logical, and physical) - Develop and maintain data mapping documents and source-to-target (S2T) specifications - Perform data validation, profiling, and quality checks to ensure data accuracy - Assist in defining KPIs, building dashboards, and supporting reporting needs - Communicate findings and insights to technical and non-technical stakeholders - Work with cloud data services (AWS/Azure/GCP) for data ingestion, storage, and processing *(nice to have)* **Qualifications Required:** - 5+ years of experience - Strong SQL skills with the ability to write complex queries - Solid understanding of Data Warehousing concepts - Hands-on experience with ETL processes and data transformation logic - Good knowledge of Data Modeling (dimensional & relational) - Experience in Data Mapping and documenting S2T specifications - Strong analytical and problem-solving skills - Excellent communication and documentation abilities In addition, exposure to cloud data platforms like AWS (Redshift, Glue, Athena, S3), Azure (Synapse, Data Factory, Databricks), GCP (BigQuery, Dataflow, Pub/Sub), experience with BI/reporting tools (Tableau, Power BI, Looker), and a basic understanding of data governance and metadata management are considered *Nice to have*.,

As a Data Analyst at our company, you will play a crucial role in importing, inspecting, cleaning, transforming, validating, modeling, and interpreting data collections to align with the business goals. You will be responsible for ensuring that the data sources and repositories deliver consistent and reliable data. Utilizing various algorithms and IT tools based on the specific requirements, you will prepare reports in the form of visualizations like graphs, charts, and dashboards. Your key responsibilities will include: - Collecting, cleaning, and analyzing data sets efficiently - Reporting on data findings to aid in decision-making processes There are no specific qualifications mentioned in the job description.,

As a Business Analytics Reporting / ETL Developer in our company, your role will be crucial in contributing to end-to-end BI projects. After a 4-month training period, you will handle various responsibilities including data consolidation, data modeling, reporting, and visualization development. You will also have the opportunity to engage in client interactions and support leads in meeting client requirements. Key Responsibilities: - Provide support in data analytics and BI deployments - Document specifications, conduct data validation, and ensure quality checks - Develop scripts for extraction, transformation, and loading - Test and validate data against requirements and source data - Design and develop dashboards - Publish and schedule business and operational reports Qualifications Required: - Commitment to stay with the company for a minimum of 2 years post the training period - Basic knowledge of databases and SQL - Excellent written and oral communication skills - Preferred knowledge of data warehousing concepts - Strong interpersonal skills for successful client relationships, especially with remote clients - Attention to detail, well-organized, able to work under pressure and meet deadlines consistently - Proactive, prompt, and takes initiative in tasks, taking ownership of specific areas of work Education Qualifications: - BCA / B. Sc Computers / B. Tech / B. E. / MCA If you are enthusiastic about kickstarting your career as a Business Analytics Reporting / ETL Developer and ready to commit to the outlined requirements, we welcome you to join our team in Visakhapatnam.,

Role Overview: As a Project Manager/Senior Project Manager at GormalOne LLP, you will play a crucial role in driving data-centric product initiatives for the DairyTech ecosystem. Your focus will be on building scalable data platforms, enabling advanced analytics, and delivering actionable insights through intuitive dashboards and visualization tools to empower decision-making across supply chain, operations, sales, and customer engagement. Key Responsibilities: - Define and own the product strategy for the Data & Analytics platform to support business growth in the DairyTech domain. - Identify data-driven opportunities in collaboration with business stakeholders, ensuring alignment with organizational goals. - Prioritize features, enhancements, and integrations based on impact, feasibility, and scalability. - Oversee the design and development of data warehouse, data lakes, and streaming platforms leveraging Big Data technologies. - Implement Kafka, ETL frameworks, and scalable architecture for real-time and batch processing. - Ensure data quality, governance, and compliance across all layers of the ecosystem. - Drive the development of BI dashboards and reporting solutions using Power BI, Tableau, and other visualization tools. - Translate raw data into actionable insights for operations, supply chain optimization, sales forecasting, and customer experience. - Support predictive and prescriptive analytics initiatives in collaboration with data science teams. - Act as the bridge between business teams, engineering, and leadership, ensuring effective communication and collaboration. - Mentor and guide cross-functional teams, instilling best practices in data-driven product management. - Partner with external vendors and technology providers to enhance the data ecosystem. Qualification Required: - Education: Bachelors/Masters in Computer Science, Engineering, Data Science, or related field. MBA preferred. - Experience: 15+ years in Project Management, Data Engineering, or Analytics, with proven leadership in building and scaling data-driven platforms in Product or IT services firms, managing huge data warehouses and reporting teams. - Technical Expertise: Strong knowledge of Data Warehousing, Big Data frameworks, Kafka, Cloud Data Platforms (AWS/Azure/GCP). Hands-on exposure to BI tools (Power BI, Tableau, Qlik) and dashboard design. Experience with ETL processes, data modeling, and governance frameworks. Understanding of Machine Learning and AI to provide Actionable Insights based on Data. - Domain Knowledge: Prior experience in DairyTech, AgriTech, FMCG, or food & beverage industries, Retail nice to have. - Soft Skills: Excellent stakeholder management, strong problem-solving, analytical mindset, and ability to lead diverse teams.,

As an ETL & Data Warehousing Developer, your role involves designing, building, and optimizing robust ETL workflows to integrate data from diverse sources into the data warehouse. You will be responsible for implementing data quality and validation checks to ensure accuracy and consistency, translating business requirements into effective data models and transformation logic, and writing complex SQL queries to extract, transform, and load data efficiently. Additionally, you will develop star and snowflake schema data models for analytical reporting and partner with BI teams to integrate ETL pipelines with Qlik Sense or other BI tools. Furthermore, you will maintain and enhance the current data warehouse infrastructure for scalability and performance, as well as troubleshoot data anomalies and recommend long-term solutions. Key Responsibilities: - Design, build, and optimize robust ETL workflows - Implement data quality and validation checks - Translate business requirements into effective data models and transformation logic - Write complex SQL queries for data extraction, transformation, and loading - Develop star and snowflake schema data models - Partner with BI teams to integrate ETL pipelines with Qlik Sense or other BI tools - Maintain and enhance data warehouse infrastructure - Troubleshoot data anomalies and recommend solutions Qualifications Required: - Minimum 5 years of hands-on experience in ETL development and Data Warehousing - Strong command over SQL and RDBMS (Oracle, SQL Server, PostgreSQL, etc.) - Experience with leading ETL tools like Informatica, Talend, DataStage, or similar - Solid knowledge of dimensional modeling, star/snowflake schemas, and data integration best practices - Strong performance tuning experience for both SQL and ETL jobs Good to Have: - Experience with Qlik Sense, QlikView, or Qlik Replicate - Exposure to Power BI, Tableau, Looker, or other visualization tools - Familiarity with cloud platforms (AWS, Azure, GCP) - Knowledge of data governance, data cataloging, and metadata management If you choose to work with us, you will join a team focused on leveraging data to drive business decisions effectively.,

As a dynamic and seasoned Director of Business Intelligence & Data Warehousing (BI & DWH), you will lead data initiatives with a strategic mindset and hands-on leadership. Your role involves defining delivery excellence, ensuring governance, and mentoring teams to build scalable, high-quality BI, DWH, and data science-enabled solutions that drive business intelligence and analytics to the next level. **Key Responsibilities:** - **End-to-End Delivery** - Own the complete lifecycle of Business Intelligence, DWH, and Data Analytics projects from requirements gathering through development and deployment. - Ensure delivery is on time, within budget, and of the highest quality. - Act as the primary escalation point for project risks, challenges, and stakeholder concerns. - **Project Quality & Governance** - Define and implement best practices, standards, and quality frameworks across BI, DWH, and Data Science initiatives. - Guarantee that all solutions are scalable, secure, governance-compliant, and aligned with organizational policies. - Drive continuous process improvement, governance maturity, and innovation in delivery methodologies. - **Leadership & Mentoring** - Lead, mentor, and inspire cross-functional teams including data engineers, BI developers, data science professionals, and project managers. - Provide technical guidance across BI, DWH, and Data Science domains. - Foster a culture of accountability, collaboration, and delivery excellence. - **Business & Stakeholder Management** - Partner with business leaders to understand needs and translate them into actionable BI, DWH, and DS solutions. - Drive stakeholder alignment and ensure projects deliver measurable business outcomes. - Present insights, project outcomes, and recommendations to senior leadership in a clear and business-oriented narrative. - **Technology & Innovation** - Guide the adoption of modern BI platforms, cloud-based data warehousing solutions (e.g. Snowflake, Azure Synapse, Redshift, BigQuery), and data science models. - Evaluate emerging technologies and DS methodologies to enhance efficiency, scalability, and analytical capabilities. **Essential Skills:** - **Education:** Bachelors or Masters in Computer Science, Data Management, Information Systems, or a related field. - **Experience:** 20+ years overall, with at least 15 years in leading Data Warehousing, BI, and Analytics delivery. - **Expertise:** Proven end-to-end delivery of large-scale BI, DWH, Data Analytics, and preferably DS projects. - **Governance & Quality:** Deep understanding of project governance, quality frameworks, and compliance protocols. - **Technical Depth:** Strong data modeling, ETL/ELT, BI platforms (Power BI, Tableau, Qlik), and familiarity with cloud ecosystems; fluency in DS tools, modeling, and predictive analytics. - **Leadership & Influence:** Expert in team leadership, mentoring, stakeholder management, and executive communication. - **Innovation-Oriented:** Proactive in adopting modern BI, Cloud DWH, and DS technologies and cultivating self-service analytics across teams. In this role, your core competencies should include communication, adaptability, planning & execution, collaboration, and continual learning.,

As an Advisor, Data Analysis at Fiserv, your role will be crucial in formulating and delivering automated reports and dashboards using Power BI and other reporting tools. You will focus specifically on inquiry reporting metrics such as MTTR, Avg. Aging, and platform adoption. Your expertise in SQL queries, Power BI, and SQL Server Integration Services (SSIS) will be essential in understanding business requirements related to inquiry management and translating them into functional specifications for reporting applications. **Key Responsibilities:** - Formulate automated reports and dashboards using Power BI and other reporting tools, with a focus on inquiry reporting metrics. - Understand specific business requirements related to inquiry management and set functional specifications for reporting applications. - Utilize expertise in SQL queries, Power BI, and SSIS to gather and analyze data related to inquiries for reporting purposes. - Develop technical specifications from business needs and establish deadlines for work completion. - Design data models that transform raw data related to inquiries into insightful knowledge by understanding business requirements in the context of inquiry reporting metrics. - Create dynamic and eye-catching dashboards and reports using Power BI, highlighting key metrics and trends related to inquiries. - Implement row-level security on data and comprehend Power BI's application security layer models, ensuring data privacy and confidentiality related to inquiries. - Collaborate with cross-functional teams to integrate, alter, and connect data sources related to inquiries for business intelligence purposes. - Make necessary tactical and technological adjustments to enhance the current inquiry management reporting systems. - Troubleshoot and resolve issues related to data quality and reporting specifically focused on inquiries. - Communicate effectively with internal teams and client teams to explain requirements and deliver solutions related to inquiry reporting metrics. - Stay up to date with industry trends and advancements in Power BI and business intelligence for effective inquiry reporting. **Qualifications Required:** - Bachelor's degree in Computer Science, Information Systems, or a related field. - Proven experience as a Power BI Developer or similar role, with a specific focus on reporting related to inquiries or customer service metrics. - Expertise in SQL queries, Power BI, and SQL Server Integration Services (SSIS). - Excellent communication skills to effectively articulate requirements and collaborate with internal and client teams. - Strong analytical thinking skills for converting data related to inquiries into illuminating reports and insights. - Knowledge of data warehousing, data gateway, and data preparation projects. - Familiarity with the Microsoft SQL Server BI Stack, including SSIS, TSQL, Power Query, MDX, PowerBI, and DAX. - Detailed knowledge and understanding of database management systems, OLAP, and the ETL framework. - Proficiency in Microsoft Excel and other data analysis tools. - Ability to gather and analyze business requirements specific to inquiries and translate them into technical specifications. - Strong attention to detail and ability to QA and validate data for accuracy. - Ability to manage multiple projects and deadlines simultaneously. - Knowledge of Agile development methodologies is a plus. - Ability to learn and adapt to new technologies and tools quickly.,

As an AWS Cloud Data Architect, you will play a crucial role in the Data Products Solutions Architecture Team. Your primary responsibility will be to design and implement scalable analytical data solutions that are in line with the strategic objectives of the organization. Key Responsibilities: - Represent the data product solutions architecture team in various forums, providing expert advice on data product solutions. - Collaborate with cross-functional teams to ensure that data product solutions meet business requirements and facilitate data-driven decision-making. - Act as a subject matter expert in areas like complex large-scale migration with platform and system differences. - Contribute to the data engineering community and promote firmwide data practices. - Engage in hands-on coding and design to implement production solutions. - Optimize system performance by addressing inefficiencies effectively. Qualifications Required: - 10+ years of experience with at least 5 years in a Data product solution Architect or similar leadership role, overseeing technologists in managing, anticipating, and resolving complex technical tasks. - Hands-on experience in system design, application development, and ensuring operational stability. - Expertise in Architecture disciplines and proficiency in programming languages. - Deep understanding of data architecture, integration, cloud data services, best practices for large scale migration, etc. - Practical experience with AWS big data technologies and various data engineering disciplines. - Advanced experience in one or more data engineering disciplines such as streaming, ELT/ELT, event processing. - Proficiency in SQL and familiarity with data warehousing solutions using Teradata or similar cloud-native relational databases like Snowflake, Postgres. - Strong problem-solving abilities, along with excellent communication and interpersonal skills. - Capability to assess and recommend technologies for the future state architecture.,

As an Associate consultant, you will play a crucial role in developing impactful analytics solutions to enhance commercial performance for life sciences clients. Your strong analytical skills will be instrumental in providing actionable insights, solving complex business challenges, and utilizing advanced analytical techniques for informed decision-making. Additionally, you will have the opportunity to mentor junior team members. Key Responsibilities: - Translate business requirements into technical specifications and lead the design, development, and deployment of BI solutions using Tableau, Power BI, and Excel-based reporting - Apply data visualization best practices and advanced analytical techniques to create interactive dashboards that facilitate decision-making - Utilize agile methodologies and quality standards to ensure the reliability of BI solutions through QA reviews, mid-development validations, and unit testing - Collaborate with project leads and clients to refine reporting needs, provide updates, and present results through compelling data stories and visualizations - Manage and support BI/reporting developers, mentor junior associates on visualization techniques, and ensure seamless task execution across teams - Deliver visually driven presentations and dashboards tailored to stakeholders - Stay updated on new Power BI/Tableau features, adopt emerging visualization trends, and continuously optimize dashboards for enhanced usability and impact Qualifications Required: - 2-4 years of relevant experience in Power BI/Tableau for reporting and analytics projects (consulting experience preferred) - Exposure to medium-to-large scale technology/BI solution delivery environments - Ability to work effectively in global, cross-functional teams and support multiple projects - Hands-on experience with Power BI and/or Tableau for dashboards, reports, and interactive visualizations - Strong expertise in SQL for querying, data analysis, and report development - Familiarity with data pipelines, data quality, and DBMS fundamentals - Proficiency in MS Excel and modern BI platforms - Understanding of data modeling concepts, BI data management best practices, and analytics methodologies - Basic exposure to cloud BI environments (Azure, AWS, or GCP) and distributed data systems - Foundational programming knowledge in Python or similar scripting languages for analytics/automation Note: The company may use AI tools to support parts of the hiring process, but final decisions are made by humans. For more information on data processing, please reach out to the company.,