AWS Data Engineer – W2
📍 Location: Richmond, VA
🏢 Work Arrangement: Onsite – 4 days/week from Day 1
💼 Employment Type: W2 – Full-Time
🛂 Visa: All visa types accepted
Job Summary
We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong hands-on experience with AWS data services, Python, SQL, and ETL development.
Key Responsibilities
- Design and develop scalable ETL/ELT data pipelines on AWS.
- Develop data solutions using AWS Glue, S3, Lambda, Redshift, and related services.
- Build and optimize data pipelines using Python/PySpark.
- Develop complex SQL queries and perform data transformation and optimization.
- Work with large datasets and implement efficient data processing solutions.
- Monitor, troubleshoot, and optimize data pipelines and AWS workloads.
- Collaborate with data architects, analysts, developers, and business teams.
- Ensure data quality, security, governance, and reliability.
Required Skills
- 7+ years of experience in Data Engineering.
- Strong hands-on experience with AWS.
- Experience with AWS Glue, S3, Redshift, Lambda and cloud data services.
- Strong Python/PySpark and SQL skills.
- Experience building production-grade ETL/ELT pipelines.
- Strong understanding of data warehousing and data modeling.
- Experience with Spark and distributed data processing.
- Strong troubleshooting and problem-solving skills.
Preferred
- Experience with Snowflake or other modern data platforms.
- Experience with AWS Step Functions / Airflow.
- Familiarity with CI/CD and DevOps practices.
- Experience working in Agile environments.
Interested candidates can share their resume for consideration.