AWS Data Engineer

Position: AWS Data Engineer Experience: 3-5 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.

Roles & Responsibilities

• 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.

Profile Requirements

• 3–5 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 modern 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.

Skills: aws data engineer,sql,aws data engineering,python,databricks,pyspark,lambda