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 skillsincluding 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
- Good 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
