Understand the business case and translate to a holistic solution involving AWS Cloud Services , PySpark , EMR, Python , Data Ingestion and Cloud DB Redshift / Postgres
PL/SQL development for high volume data sets.
Proven experience with large, complex database or data lake projects in environments producing high-volume data
Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and determined resolutions.
Communication with stakeholders and business partners across all worldwide locations.
Understanding and aligning business partners across locations doing requirements engineering and business case mapping.
Leading projects : Working on complex, cross-functional projects, and acting as a subject matter expert
Designing data platforms : Creating secure, secure, and scalable data collection, storage, access, and analytics platforms
Developing documentation : Creating functional and technical documentation that supports best practices




Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping),
Interaction with Data Governance teams - aligning on data models, lineage and relationships.
Data Analysis & Engineering for data aggregation and curation
Interfacing with architecture team, cloud engineering teams and vendors on designing state of the art solutions.
Makes recommendations regarding enhancements and/or improvements
Provides appropriate consulting , interfacing, and standards relating to database management, and monitors transaction activity and utilization .
Performance issues analysis and t uning , optimization opportunities
Data Warehouse design and development, including logical and physical schema design.

Other Responsibilities :
Customer/stakeholder focus. Ability to build solid relationships with Application teams, cross functional IT and global/local IT

📌 Sr Data Product Engineer Bengaluru
🏢 Globalfoundries
📍 Bengaluru