AWS Data Engineer (On-site, India)
About The Opportunity
A business operating in the Cloud Services & Data Engineering sector, focused on building scalable, secure data platforms and analytics pipelines on AWS. This on-site role in India is ideal for engineers who deliver production-grade ETL, real-time ingestion, and data warehousing solutions that enable analytics and ML at scale.
Role & Responsibilities
- Design, build, and maintain scalable ETL/ELT data pipelines on AWS to support analytics and ML workloads.
- Implement serverless and cluster-based processing using AWS Glue, Lambda, and EMR with Apache Spark for batch and streaming jobs.
- Manage data storage and warehousing solutions in Amazon S3 and Amazon Redshift; optimize schema, partitioning, and query performance.
- Author robust SQL and Python code for transformations, ensure data quality, lineage, and implement monitoring/alerting for pipelines.
- Apply Infrastructure-as-Code and CI/CD practices to automate deployment (CloudFormation/Terraform recommended) and maintain reproducible environments.
- Collaborate with Data Scientists, Analysts, and DevOps to onboard datasets, tune performance, and troubleshoot production incidents.
Skills & Qualifications
Must-Have
- Amazon S3
- Amazon Redshift
- AWS Glue
- AWS Lambda
- Amazon EMR
- Apache Spark
- Python
- SQL
Preferred
- Apache Airflow
- AWS Kinesis
- Terraform
Additional Qualifications
- Proven experience building production data pipelines and data warehouses on AWS (hands-on).
- Strong debugging, performance tuning, and operational knowledge for data pipelines in a production environment.
Benefits & Culture Highlights
- On-site, collaborative engineering environment with exposure to end-to-end data platform design.
- Opportunities for upskilling on modern AWS data services and analytics architectures.
- Competitive compensation and performance-driven career growth.
How to Apply: Submit your resume highlighting AWS data projects, pipeline ownership, and specific technologies used (S3/Redshift/Glue/Spark/Python preferred). We value engineers who build reliable, observable, and cost-effective data infrastructure.
Skills: aws lambda,sql,python,amazon redshift,apache spark,aws,glue
