Sr. Data Engineer

Description:

I am working with a client in Dallas that is looking for a Sr. Data Engineer. This is a direct hire position that is on site 5 days a week.

Candidate Requirements:
- 5-7+ years of hands-on data engineering experience.
- Expertise in AWS data services (S3, DynamoDB, RDS, Kinesis, Redshift, Glue, Athena).
- Strong programming skills in Python, C#, and data processing languages.
- Proficiency in SQL and NoSQL databases.
- Experience with ETL processes, data integration, and transformation.
- Knowledge of data governance, security best practices, and big data.
- Familiarity with Terraform, DevOps methodologies, AWS CodePipeline, and containerization.
- Networking, security, and PII governance expertise.
- Automotive industry experience (TPAs/DMS/CAS) is a plus.
Key Responsibilities:
- Build and optimize large-scale data pipelines, data warehousing, and streaming systems.
- Integrate, transform, and analyze data from multiple sources.
- Enable business decision-making through data analysis and interpretation.
- Improve ETL architecture and processes for efficiency.
- Collaborate across teams to implement data solutions aligned with business needs.
- Stay updated on industry best practices and emerging data capabilities.