Principal Data Engineer

• Understand the business case and translate to a holistic a solution involving AWS Cloud Services , PySpark, EMR, Python, Data Ingestion and Cloud DB Redshift / Postgres
• PL/SQL development for high volume data sets.
• Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping), DB query monitoring for tuning and optimization opportunities
• 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.
• 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 Tuning
• Data Warehouse design and development, including logical and physical schema design.

Other Responsibilities:

Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety

Security requirements and programs

Customer/stakeholder focus. Ability to build strong relationships with Application teams, cross

functional IT and global/local IT teams

Required Qualifications:

• Bachelor or master s degree in information technology, Electrical Engineering or similar relevant fields.
• Proven experience (3 years minimum) with ETL development, design, 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,
• Working Experience in Kubernetes and Docker Administration is added advantage
• Good experience in AWS Services, Big data, PySpark, EMR, Python, Cloud DB RedShift
• Proven experience with large, complex database projects in environments producing high-volume data,
• Proficiency in SQL and PL/SQL
• Experience in preparing data warehouse design artifacts based on given requirements (ETL framework design, data modeling, source-target-mapping),
• Experience in developing streaming applications e.g. SAP Data Intelligence, Spark Streaming, Flink, Storm, etc.
• 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, infrastructure.
• Familiarity with SDLC concepts and processes

Additional Skill:

• Experience using and developing on AWS services.
• Experience in semiconductor industry,
• Knowledge of Semi structured datasets
• Experience with reporting data 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

Preferred Qualifications:

• Bachelor s or master s degree with Minimum 6 Years Exp
• Mush have experience in AWS Cloud Services, PySpark, EMR, Python, Cloud DB Redshift / Postgres and Data Ingestion
• Experience in preparing Data Warehouse design (ETL framework design, data modeling, source-target-mapping)