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