Job Description
AWS Data Engineer
\n
\n
- \n
- Newark, NJ (Hybrid – 3 days/week onsite)
- Long-Term Contract
- $65 – $80/hr
- C2C and W2 are fine
\n
\n
\n
\n
\n
\n
About the Role
\n
- \n
- Join a leading financial firm on a long-term contract engagement
- Design and build scalable batch and real-time data pipelines on AWS
\n
\n
\n
\n
Key Responsibilities
\n
- \n
- Design and develop batch and real-time data pipelines using AWS Data and Analytics services such as Glue, Athena, Lambda, and Redshift
- Build complex data processing and ETL jobs using PySpark and SQL
- Ingest and process structured and semi-structured data
- Optimize data pipelines for cost efficiency and performance
- Apply best practices to secure data pipelines and data assets in AWS
- Support CI/CD processes for data engineering workflows
\n
\n
\n
\n
\n
\n
\n
\n
Required Qualifications
\n
- \n
- Hands-on experience with AWS Glue, Athena, Lambda, Redshift, and related AWS data services
- Strong experience building ETL jobs with PySpark and SQL
- Experience working with structured and semi-structured data
- Exposure to data warehouse, data lake, and lakehouse architectures
- Solid understanding of data modeling techniques
- Exposure to CI/CD processes
- Knowledge of AWS data security best practices
\n
\n
\n
\n
\n
\n
\n
\n
\n
Nice to Have
\n
- \n
- Knowledge of data quality and data governance processes
\n
\n