AWS Data Engineer

Data Engineering Team

Experience

3+ years

Location

Chennai / Bangalore

Key Skills

AWS Data Engineering, Databricks, PySpark, SQL

About the Role

We're looking for an experienced AWS Data Engineer to join a fast-paced data engineering team building scalable data solutions for our customers. In this role, you'll own the technical design, implementation, optimization, and maintenance of data engineering components — working across data warehouse, data lake, and lakehouse architectures on AWS. This is a hands-on role for someone who enjoys solving complex data problems and wants to work with modern cloud-native tooling.

What You'll Do

- Design, build, and maintain robust data pipelines across AWS data warehouse, data lake, and lakehouse environments.
- Develop and optimize batch and streaming pipelines using PySpark / Spark Scala for near real-time analytics.
- Build and orchestrate workflows using AWS services such as Glue, Lambda, Step Functions, Redshift, EMR, and Kinesis.
- Write and tune complex SQL queries, focusing on performance and scalability.
- Apply data governance best practices across data platforms and analytical solutions.
- Collaborate with cross-functional teams to translate business requirements into reliable, production-ready data solutions.
- Contribute to CI/CD pipelines and DevOps practices for data engineering components,



using Git for version control.

What We're Looking For

- 3+ years of hands-on experience designing, developing, and implementing data engineering solutions.
- Strong SQL development skills, including query optimization and performance tuning.
- Solid programming experience with Python.
- Proven experience building data pipelines with PySpark or Spark Scala, including streaming pipelines for near real-time use cases.
- Hands-on experience with AWS data engineering services — Glue, Lambda, Step Functions, Redshift, EMR, Kinesis, or similar.
- Working experience with at least one NoSQL database.
- Good grasp of up-to-date data architecture patterns and current trends in data engineering.
- Understanding of data governance principles for data platforms and analytics.
- Experience with Git for source control and CI/CD pipelines for data engineering workloads.
- Strong analytical, problem-solving, communication, and collaboration skills.

Nice to Have

- AWS certifications, especially in data engineering / data analytics.
- Experience with Amazon AppFlow, EKS, API Gateway, or additional NoSQL database services.
- Familiarity with BI/visualization tools such as Tableau or Power BI.

Pay: ₹600,000.00 - ₹1,500,000.00 per year

Work Location: In person

📌 AWS Data Engineer (Chennai)
🏢 Dreamwings Technologies
📍 Chennai