Job Title: - Senior Manager – Data Engineering
Job Location: -Gurgaon/Noida/Bangalore/Pune/Hyderabad
Job Summary: - This role will be responsible for overseeing the development, implementation and maintenance of Datawarehousing systems and processes using ETL technologies and troubleshooting any potential issues.
Job Responsibilities: -
- Redesigning and implementing a next gen Data engineering solution for a large pharma
- Integration of acquired brands into the eco system
- Design and implement data products to support advanced analytics and AI capabilities
- Hands on experience in the design of reporting schemas, data products, data marts and ARDs
- Technology Leadership – Independently he/she should be able to architect, design, implement deliver complex Databases/Data Warehousing/Data Lake, Data Integration and BI/Reporting/MDM Solutions.
- Work with stakeholders to understand business objectives and develop value-added data driven solutions, frameworks and reporting solutions.
- Architecture/Technical Design and Development – Expertise on AWS, Snowflake, Databricks, PowerBI, Data governance tools
- Lead requirements gathering and research, proposes technology solutions, and develops solutions within agreed upon timelines. Understand the underlying data and flow of data.
- Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must.
- Troubleshoot and resolve data quality issues, database performance issues, database capacity issues, replication and other distributed data issues
- Create and maintain project plans
- Team management : planning, grooming, upskilling, motivation and career growth
- Automation and continuous improvement
- Client engagement including requirements management, user acceptance
Job Requirements: -
- Overall, 10+ years of rich experience in the Pharmaceutical / Life Sciences Domain.
- Should have expertise and working experience on Snowflake, AWS/Azure cloud stack
- Should be able to handle a mid size team.
- Should have strong Data Warehousing, Reporting and Data Integration fundamentals.
- Advanced expertise with SQL
- Experience on AWS/Azure cloud data stores and it’s DB/DW related service offerings.
- Should have knowledge and experience of Big Data Technologies (Hadoop ecosystem) and NO SQL databases.
- Should have technical expertise and working experience in at least 2 Reporting tools among Power BI, Tableau, Jasper soft and QlikView/QlikSense
Skills that give you an edge: -
- Work experience on statistical modeling and/or AI/ML models, agentic AI use cases
- Snowpro certification
- Claude certification
