Data Engineer
7 days ago
Location: San Antonio, TX (Onsite)
Employment Type: Contract
Job Description:
We are looking for a highly skilled Data Engineer to design, develop, and maintain robust data solutions using IBM Datastage, Informatica, DBT, and modern cloud platforms. The candidate will play a key role in building ETL/ELT pipelines, managing data assets, and ensuring high performance, scalability, and reliability of data systems in both on-premises (Netezza) and cloud (AWS S3, Snowflake) environments.
Key Responsibilities:
- Design, analyze, and develop ETL data assets using IBM Datastage, Informatica, or DBT.
- Build and optimize ELT transformations leveraging DBT and Python.
- Create and manage data pipelines supporting CI/CD and continuous data integration workflows.
- Collaborate with project managers and business analysts to define and document technical requirements.
- Participate in logical and physical data modeling activities to ensure accurate data mapping and integration.
- Develop, test, enhance, debug, and support data assets and applications across business units.
- Ensure data quality, consistency, and adherence to governance standards.
- Support migration initiatives between on-premises databases and cloud-based data warehouses.
- Troubleshoot performance bottlenecks, perform code reviews, and optimize data workflows.
- Implement and maintain ETL/ELT solutions using diverse development tools and environments.
- ETL/ELT Tools: IBM Datastage, Informatica, DBT
- Programming Languages: Python, SQL
- Databases: Netezza, AWS S3, Snowflake
- Data Modeling: Logical & Physical Design, Data Mapping
- CI/CD Tools: Jenkins, Git, or equivalent
- Cloud Platforms: AWS (preferred)
- Other Skills: Debugging, performance tuning, pipeline optimization
ETL Development | Data Pipeline Engineering | IBM Datastage | Informatica | DBT | Netezza | Snowflake | AWS S3 | Python | SQL | Data Modeling | CI/CD | Cloud Data Integration
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