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Job Description & How to Apply Below
A technology services firm operating in the Cloud & Data Engineering sector, building AWS-native data platforms and scalable analytics solutions for enterprise customers across finance, retail, and digital services. We deliver production-grade ETL pipelines, operational data lakes, and analytics-ready warehouses to power BI, ML, and reporting workloads.
Position: AWS Data Engineer (On-site, India)
Role & Responsibilities
Design, build, and operate end-to-end AWS data pipelines and ETL workflows to ingest, transform, and deliver high-quality data for analytics and ML.
Develop and maintain serverless data processing using AWS Glue, Lambda, and orchestrate batch/streaming ingestion (Kinesis/Glue Streaming).
Implement and optimize data storage and query layers using S3, Redshift, Athena, and apply partitioning, compression, and schema evolution best practices.
Author infrastructure-as-code for data platforms using Terraform or Cloud Formation and integrate deployments into CI/CD pipelines.
Establish monitoring, observability and alerting for data workflows (Cloud Watch, X-Ray, Open Search) and lead root-cause analysis for production issues.
Collaborate closely with data scientists, analysts, and product owners to translate requirements into scalable, cost-effective solutions and mentor junior engineers.
Skills & Qualifications
Must-Have
AWS Glue
Amazon S3
AWS Lambda
Amazon Redshift
Terraform
SQL
Preferred
Apache Spark
AWS Kinesis
Apache Airflow
Additional Qualifications
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
3+ years of hands-on experience designing and deploying AWS data solutions in production environments.
Proven experience with CI/CD for data pipelines and implementing data governance and security controls (IAM, encryption, VPC).
Benefits & Culture Highlights
On-site, collaborative engineering environment with direct exposure to enterprise-scale data problems.
Opportunities for AWS certification support and continuous learning on modern data tooling.
Competitive compensation, health benefits, and performance-driven career growth.
How To Apply
If you are passionate about building robust AWS data platforms and enjoy solving complex ingestion and scalability challenges, apply with your resume highlighting relevant AWS data projects and pipeline ownership experience. This is an on-site role based in India.
Skills:
aws,python,sql,pyspark,amazon redshift,aws lambda,terraform
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