Role & responsibilities

• Demonstrated experience in building data pipelines in data analytics implementations such as Data Lake and Data Warehouse • At least 1 instances of end-to-end implementation of data processing pipeline • Experience configuring or developing custom code components for data ingestion, data processing and data provisioning, using Cloud platforms with Azure. • Hands-on-experience developing enterprise solutions using designing and building frameworks, enterprise patterns, database design and development in 2 or more of the following areas: • DW-BI (MSBI, Oracle, Teradata), Data modeling, performance tuning, memory optimization/DB partitioning • Frameworks, reusable components, accelerators, CI/CD automation • Languages (Python, SQL) • Ensure quality of code components delivered by employing unit testing and test automation techniques including CI in DevOps environments. • Ability to profile data, assess data quality in the context of business rules, and incorporate validation and certification mechanism to ensure data quality • Ability to review technical deliverables, mentor and drive technical teams to deliver quality technical deliverables.

Preferred candidate profile

• Azure, SQL, CI/CD, Python, • DW-BI (MSBI, Oracle), Data modeling, performance tuning, memory optimization/DB partitioning
• Demonstrated experience in building data pipelines in data analytics implementations such as Data Lake and Data Warehouse