Role: Data Engineer
Location: Dallas, TX
Work Authorization: USC, GC, H4-EAD, H1-B Transfer & GC-EAD
Job Type: Contract
Tax Term: W2/1099
Job Description:We are seeking a skilled Data Engineer with a strong background in Python, SQL, ETL automation, and Unix/Linux scripting. The ideal candidate will have expertise in data modeling, warehousing concepts, and hands-on experience with AWS services, DevOps, and CI/CD tools. This role requires a technical professional with the ability to manage, automate, and optimize complex data pipelines.
Key Responsibilities:
- Design, develop, and maintain ETL processes for data integration and automation.
- Implement data modeling and data warehousing solutions to optimize data architecture.
- Collaborate with cross-functional teams to integrate data from multiple sources using Python and SQL.
- Develop and maintain scripts for Unix/Linux environments to support data processing workflows.
- Utilize AWS services like S3, Athena, EMR, Glue, Redshift, Kinesis, and SageMaker to build and manage scalable data solutions.
- Perform testing using Ab Initio and Informatica to ensure data integrity and performance.
- Apply DevOps and DataOps best practices for CI/CD using tools like Jenkins and GitLab.
- Troubleshoot and resolve issues in data pipelines to ensure optimal performance.
Skills and Qualifications:
- Proficient in Python, SQL, and Unix/Linux scripting.
- Strong experience with ETL automation and data modeling concepts.
- In-depth knowledge of AWS services (S3, Athena, EMR, Glue, Redshift, Kinesis, SageMaker).
- Hands-on experience with testing tools like Ab Initio and Informatica.
- Familiarity with DevOps practices and CI/CD tools (Jenkins, GitLab).
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Job Type: Contract
Pay: From $50.00 per hour
Expected hours: 40 per week
Schedule:
Experience:
- Informatica: 10 years (Preferred)
- SQL: 8 years (Preferred)
- Data warehouse: 10 years (Preferred)
- Python: 8 years (Preferred)
Ability to Relocate:
- Dallas, TX: Relocate before starting work (Required)
Work Location: In person