Based in Hyderabad, this Manager – Data Engineering position within EY’s Data and Analytics team presents a unique opportunity to work on diverse client projects across multiple industries and countries. The role involves supporting both cloud and on-premises analytics and data engineering initiatives by designing, developing, deploying, and maintaining complex technology solutions. You will collaborate closely with technical architects, product and business experts, and developers to advance modern data warehousing and integration solutions using state-of-the-art tools. Responsibilities include creating design specifications, data migration mappings, and robust ETL processes that enable impactful decision analytics and reporting.
Key Responsibilities
- Evaluate and select appropriate data warehousing tools for business intelligence, data population, metadata management, and warehouse administration in both cloud and on-premises environments.
- Design, develop, and test ETL workflows using GUI-driven tools, ensuring compliance with best practices in ETL and data warehouse development.
- Create detailed design documentation including data mappings, technical specifications, data dictionaries, test cases, and production support materials.
- Provide technical leadership and guidance to teams of data warehouse and business intelligence developers.
- Collaborate with technology users to implement data governance, cloud strategies, privacy, and security protocols.
- Manage data orchestration, ingestion, ETL, and reporting architecture across platforms such as Microsoft Azure, AWS, and Google Cloud Platform.
- Assist in performance tuning of ETL and database processes to enhance system efficiency.
Required Qualifications
- Bachelor’s degree in Computer Science or a related field; advanced degree or equivalent business experience is preferred.
- At least 9 years of overall experience, with a minimum of 6 years focused on data warehousing and business intelligence.
- Proven hands-on experience designing and implementing data warehouses, including enhancements and migration strategies.
- Strong understanding of data architecture, staging and reporting schemas, and cutover strategies using industry-standard tools.
- Minimum of 3 years’ experience with Azure database offerings, including relational, NoSQL, and data warehouse solutions.
- At least 2 years of hands-on experience with Azure services such as Azure Data Factory, Kafka, Data Explorer, Data Lake, Synapse Analytics, Analysis Services, and Databricks.
- Extensive expertise in database design, modeling, and integration with relational databases including SQL Server, Oracle, MySQL, Azure SQL, and Azure Synapse.
- Familiarity with business intelligence reporting tools such as Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, and SSAS Cubes.
- Strong analytical and problem-solving skills, coupled with excellent written and verbal communication abilities.
- Experience in Big 4 or technology consulting environments is highly desirable.
Preferred Qualifications and Benefits
- Strategic thinker with a results-oriented approach and the ability to build strong client relationships.
- Willingness to travel extensively and work at client sites or practice offices as required.
- Opportunity to join a global, multi-disciplinary team of over 1,400 professionals within EY’s integrated global transaction business.
- Access to EY Global Delivery Services (GDS), a vibrant network spanning six countries, offering diverse career opportunities and collaboration with global teams.
- A continuous learning environment supported by tools and flexibility to make a meaningful impact.
- A supportive culture that emphasizes transformative leadership, diversity, and inclusion.
- EY’s commitment to building a better working world by leveraging data and technology to create long-term value for clients, people, and society.
This role is ideal for a technically skilled, collaborative professional who is passionate about data engineering and eager to contribute innovative solutions within a leading global organization.