Senior Manager

Job description

**Job Title: - Senior Manager Data Engineering** **Job Location: -Gurgaon/Noida/Bangalore/Pune/Hyderabad** **Job Summary: -** This role will be responsible for overseeingthe development, implementation and maintenance ofDatawarehousing 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 its 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