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, logical and physical schema design
Proven experience with large, complex database or data lake projects in settings producing high-volume data
Demonstrated problem solving skills; familiarity with various root cause analysis methods; experience in documenting identified problems and driving 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, acting as a subject matter expert, but also experience in project manager role
Designing data products : Creating trusted, reusable data products building on data collection, transformation and curation.
Developing documentation :



Creating functional and technical documentation that supports best practices
Design data pipeline: Establish design artifacts based on user requirements and engage with ETL Build teams (ETL framework design, data modeling, source-target-mapping, architecture diagrams)
Interaction with Data Governance teams - aligning on data models, lineage and relationships.
Data Analysis for trouble shooting (e.g. data issues, performance issues) but also for BI & analytics interaction, potentially on large data sets
Interfacing with architecture team, cloud engineering teams and vendors on designing state of the art solutions.
Make recommendations regarding enhancements and/or improvements, provide consulting for operational aspects

Other Responsibilities:
Customer/stakeholder focus. Ability to build solid relationships with Application teams, cross functional IT and global/local IT teams - as well as interfacing with vendors ( e.g. AWS)
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📌 Senior Lead Data Product Engineer Bengaluru
🏢 Globalfoundries
📍 Bengaluru