Hi,
Greetings!
Hope you are doing well,
Please find below the details & let me know if you are Interested in this position.
Role: AWS Data Engineer (Data Lake, Redshift, Aurora Integration)
Location: Chicago, IL (Hybrid) (Only Locals)
No GC
Primary Skills
- Must have: Python, SQL/PLSQL, AWS, Postgresql, S3, Glue
- Good to have: CDK, GitHub
About the Role
We are seeking a Lead Data Engineer to design and implement scalable, secure, and high-performance data platforms on AWS. The role focuses on building data pipelines, managing data lakes and databases (Redshift, Lake Formation, Aurora), and exposing curated data for React-based dashboards and analytical applications.
Key Responsibilities
- Data Engineering & Architecture
- Design, build, and optimize data pipelines using AWS Glue, Lambda, and Step Functions for ingestion, transformation, and curation.
- Develop and maintain data lakes (S3 + Lake Formation) and data warehouses (Redshift) to support analytics and visualization.
- Integrate Aurora (PostgreSQL/MySQL) as a serving layer for APIs and dashboards.
- Design APIs or direct query interfaces that expose curated datasets for React-based dashboards and web applications.
- Define and implement data models, partitioning strategies, and schema evolution best practices for performance and scalability.
- Security, Governance & Compliance
- Implement data security policies, encryption, and role-based access controls using AWS IAM, KMS, Lake Formation, and Secrets Manager.
- Ensure compliance with organizational data governance and privacy standards.
- Maintain data cataloging, lineage, and access tracking within AWS Glue Data Catalog and Lake Formation.
- Implement CI/CD pipelines for data workflows in collaboration with DevOps teams.
Required Skills & Qualifications
- 7+ years of experience in data engineering and AWS data architecture.
Thanks and Regards
Prashant Tiwari |Technical Recruiter|
Jconnect Infotech Inc.
Email: prashant.tiwari@jconnectinc.com
168 Barclay Center Ste. 347, Cherry Hill, NJ 08034
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