Industry & Sector: Cloud data engineering and analytics services serving enterprise customers. We build scalable ETL pipelines, data lakes and analytics platforms on AWS to enable data-driven decisioning across finance, retail, and SaaS domains.
Role: AWS Data Engineer (On-site, India) responsible for designing, building and operating robust AWS-native data platforms that deliver reliable batch and near-real-time data to analytics and ML teams.
Role & Responsibilities
- Design, build and maintain scalable ETL/ELT pipelines on AWS to ingest, transform and publish data across the enterprise data lake and warehouse.
- Develop and optimise PySpark jobs and Glue ETL scripts to process large datasets with a focus on reliability and cost-efficiency.
- Implement and maintain data storage solutions using S3 and Amazon Redshift, including schema design, partitioning and performance tuning.
- Orchestrate workflows and job scheduling using Apache Airflow (or managed Airflow) and implement monitoring, alerting and retry strategies.
- Define and apply infrastructure-as-code for data platform components using Terraform or CloudFormation; participate in CI/CD for data pipelines.
- Collaborate with data scientists, analytics and QA teams to translate business requirements into production-grade data models, SLAs and observability.
Skills & Qualifications
Must-Have
- AWS Glue
- Amazon Redshift
- Amazon S3
- PySpark
- Apache Airflow
- Terraform
Preferred
- AWS EMR
- AWS Kinesis
- Spark Streaming
Additional Qualifications
- Proven track record delivering production data pipelines on AWS and troubleshooting data quality, performance and cost issues.
- Strong SQL and data modelling skills; experience with dimensional modelling and columnar storage best practices.
- Comfortable working on-site in India and collaborating across engineering, analytics and product teams to meet SLAs.
Benefits & Culture Highlights
- Hands-on exposure to AWS-native data platform projects and opportunities to influence architecture and tooling choices.
- Collaborative, delivery-focused engineering culture with emphasis on observability, automation and learning.
- Competitive compensation, training allowance and career growth into senior data engineering or platform roles.
How to Apply: If you are a pragmatic, outcome-driven AWS Data Engineer who enjoys building reliable data platforms and working on-site in India, please submit your CV highlighting AWS data projects and key contributions.
Skills: redshift,amazon redshift,terraform
