Data Warehouse & ETL Engineer
Skills
About This Role
Role Summary
Design and implement scalable data pipelines to extract, transform, and store data from multiple sources into a structured data warehouse for analytics and reporting.
Key Responsibilities
- Develop data extraction processes from APIs, files, databases, and other data sources.
- Design and manage data warehouse solutions (SQL Server and Oracle).
- Perform data cleansing, normalization, and enrichment.
- Apply business rules (classification, scoring, transformations).
- Optimize data models for reporting and analytics.
- Build and maintain ETL/ELT pipelines using tools such as SSIS or ODI or equivalent.
- Implement scheduled and incremental data loads.
- Ensure performance, scalability, and reliability of data pipelines.
- Integrate with enterprise systems.
- Support testing, validation, and deployment of data solutions.
Requirements
- Strong experience in SQL Server and Oracle data platforms.
- Hands-on experience with SSIS, ODI, or similar ETL tools.
- Experience working with APIs and structured/unstructured data.
- Solid understanding of data warehousing concepts (schemas, indexing, aggregation).
- Experience handling large data volumes.
- Strong problem-solving and data analysis skills.
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