- Leading projects: Working on complex, cross-functional projects, and acting as a subject matter expert
- Building data Solution: Creating secure, stable, and scalable data pipelines, managing analytics platforms
- Design Standards and Framework: Provides appropriate consulting, interfacing, standards and framework for data pipelines,
- Advising Junior Data Engineers: Providing guidance to the fellow data engineers, operations support and implementation partners and making recommendations
- Evaluating access control: Evaluating and reporting on access control processes to determine data asset security
- Developing documentation: Creating technical documentation that supports best practices

Required Qualification:

- Experience in preparing Data warehouse design artifacts based on given requirements - Defining Standards, Building Frameworks, and Source-Target Mapping
- Strong analytical and data modeling skills including logical and physical schema design
- Deep understanding of database technology and data use within analytic platforms
- Strong programming skills with SQL and PySpark,
- Experience with AWS cloud Services including EMR, Redshift/Postgres
- Experience in other Cloud / ETL technologies including Databricks, Snowflakes, Ab Initio
- Positive Understanding of other programming languages Python, Java
- Proven experience with large,



complex database 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.
- Experience in analyzing Performance Issues analysis and Tuning

Preferred Qualifications:

- Master s degree in information technology, Electrical Engineering or similar relevant fields.
- Proven experience (10 years minimum) with Datawarehouse design, build performance tuning and optimization
- Very good knowledge of data warehouse architecture approaches and trends, and high interest to apply and further develop that knowledge, including understanding of Dimensional Modelling and ERD design approaches,
- Experience in developing streaming applications Spark Streaming, Flink, Storm, etc.
- Excellent conceptual abilities compared 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

Additional Skill:

- Experience in semiconductor / High Tech Manufacturing industry
- Experience with reporting data solutions and business intelligence tools
- Knowledge of statistical data analysis and data mining
- Experience in test management, test case definition and test processes

📌 Lead Data Engineer (Bengaluru)
🏢 Globalfoundries
📍 Bengaluru