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Data Engineer
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. Technical Skills & Tools:
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 Key Skills:
ETL Development | Data Pipeline Engineering | IBM Datastage | Informatica | DBT | Netezza | Snowflake | AWS S3 | Python | SQL | Data Modeling | CI/CD | Cloud Data Integration
Compétences linguistiques
- English
Avis aux utilisateurs
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