AWS Data Engineer
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Oct 28, 2026. Symphoni HR scores A on the Alion truth index.
We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and ETL workflows. You will work across AWS-native data processing, orchestration, and containerized services to deliver reliable, high-quality data for production systems. This is a hybrid role based in Kochi / Thiruvananthapuram.
Our client is a leading software company in the computer software industry, delivering technology solutions at scale for global customers. They are known for building robust, data-driven products and fostering a collaborative, innovation-focused engineering culture.
Responsibilities
- Develop and optimize data processing pipelines using Python, PySpark, and SQL.
- Build and manage data workflows using AWS Glue and AWS Step Functions.
- Deploy and manage containerized applications using AWS ECS.
- Work with AWS EMR for large-scale distributed data processing.
- Design and manage NoSQL data solutions using Amazon DynamoDB.
- Ensure data quality, performance, reliability, and scalability of data pipelines.
Requirements
- 4+ years of experience in AWS data engineering.
- Strong expertise in Python and PySpark.
- Hands-on experience with AWS EMR, ECS, and Glue.
- Working knowledge of AWS Step Functions.
- Experience with Amazon DynamoDB.
- Strong SQL skills.
- Experience building and running production-grade data pipelines.
Qualifications
4+ years of experience in AWS data engineering. Strong expertise in Python and PySpark. Hands-on experience with AWS EMR, ECS, and Glue. Working knowledge of AWS Step Functions. Experience with Amazon DynamoDB. Strong SQL skills. Experience building and running production-grade data pipelines.
Skills
Python, PySpark, AWS EMR, AWS ECS, AWS Glue, AWS Step Functions, Amazon DynamoDB, SQL