Senior Lead Data Product Engineer (Bengaluru)

Senior Lead Data Product Engineer (Bengaluru)

04 Aug
|
Globalfoundries
|
Bengaluru

04 Aug

Globalfoundries

Bengaluru

- 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 environments 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 robust relationships with Application teams, cross functional IT and global/local IT teams - as well as interfacing with vendors ( e.g. AWS)




- Advising junior engineers & Build Team : Providing guidance to junior engineers and ETL Build team and BI/Analytics teams

Required Qualifications :

- Bachelor or master s degree . Preferably in information technology or e lectrical e ngineering - but since job focus on business interaction also background in other fields is welcome.
- Proven experience ( 10 year minimum) with data engineering, analytics , design and optimization.
- Very good knowledge of data architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of OLAP/OLTP, ML, genAI , modelling , statistics .
- Problem solving experience & analytics skills - e.g. with L6S curriculum (green/black belt)
- Good experience in AWS Services, Big data, PySpark , EMR,Python, Cloud DB RedShift
- Proven experience with large, complex data projects in environments producing high-volume data,
- Proficiency in SQL and PL/SQL
- Excellent conceptual abilities pared with very good technical documentation skills, e.g. ability to understand and document complex data flows as part of business / production processes,
- Familiarity with SDLC concepts and processes
- Translate business requirements into technical specifications. This involves critical thinking, problem-solving, and the capacity to work with large datasets.

Additional Skill :

- Experience using and developing on AWS services , AWS certification, AWS Solutions Architect
- Proficiency in programming languages such as Python, PySpark , SQL, Java, C++ is highly recommended.
- Understanding of machine learning and AI technologies is becoming increasingly important for data architects
- Experience in semiconductor industry
- Knowledge of Semistructured datasets
- Experience with analytics & reporting solutions and business intelligence tools
- Experience in collecting, structuring and summarizing requirements in a data warehouse environment,
- Knowledge of statistical data analysis and data mining,
- Experience in test management, test case definition and test processes

📌 Senior Lead Data Product Engineer (Bengaluru)
🏢 Globalfoundries
📍 Bengaluru

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