Relevance Lab
Relevance Lab·Platform

AWS Data Engineer

Bengaluru / Hyderabad·Hybrid
5–8 Years· Full Time

AWS · Python · Cloud · AWS Cloud Architecture · S3 · EC2 · CloudFormation · Terraform · AWS Glue · Redshift · Athena · Lambda · SQL · PySpark/Spark · ETL/ELT · Data Pipelines · Data Lake

Or email your CV toRLB-A003@orbin.ink

Openings

1

Applications close

15 Sept 2026

Qualification

B.Tech / MCA

AWS data engineer role focused on cloud data pipelines, ETL/ELT workflows, and AWS-native analytics solutions.

AWSPythonCloudAWS Cloud ArchitectureS3EC2CloudFormationTerraformAWS GlueRedshiftAthenaLambdaSQLPySpark/SparkETL/ELTData PipelinesData Lake

Job description

About the role

We’re looking for an AWS Data Engineer to build and support cloud-based data pipelines, data processing workflows, and analytics solutions on AWS. The role focuses on working with large datasets and delivering reliable ETL/ELT systems using AWS-native data services.

You’ll work on data lake and analytics workflows that move, transform, and serve data for downstream use. The role also involves supporting existing pipelines and contributing to data quality and migration-related activities where needed.

What you'll do

  • Build and support data pipelines and ETL/ELT workflows on AWS.
  • Work with large datasets across data processing and analytics use cases.
  • Develop solutions using AWS-native services for data ingestion, transformation, and storage.
  • Support data lake and data processing workflows.
  • Contribute to data migration, data quality, and data modeling efforts as needed.
  • Work with infrastructure and deployment tooling such as Terraform, CloudFormation, and CI/CD where applicable.

What we're looking for

  • 5–8 years of experience in data engineering or related cloud data work.
  • Strong hands-on experience with AWS and AWS data services such as Glue and S3.
  • Experience with SQL, Python, and Spark/PySpark.
  • Practical experience with ETL/ELT pipelines and data lake implementations.
  • Exposure to Redshift, Athena, Lambda, EMR, Step Functions, or Kinesis is preferred.
  • Familiarity with Terraform/CloudFormation and CI/CD is preferred.

Qualification: B.Tech / MCA

Openings: 1

Experience: 5–8 Years

Applications close: 15 Sept 2026

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About Relevance Lab

Relevance Lab is a specialist IT services and technology solutions provider that helps global enterprises transition from a "software-defined" to an "AI-powered" paradigm. As an AWS Advanced Tier Partner, the company specializes in combining Cloud Engineering, DevOps, Automation, and Generative AI to modernize critical applications and data infrastructure.

Relevance Lab drives non-linear developer productivity through its unique "AI Pods" model and proprietary software platforms, including Research Gateway, SPECTRA, and RLCatalyst. Backed by Capital Square Partners and featuring a team of over 1,500 professionals, the company delivers high-velocity, scalable digital transformation for market leaders across Healthcare, Higher Education, and Technology sectors.

IT Services & Consulting · 250+ employees · Bengaluru, India

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AWS Data Engineer — Relevance Lab