Industry & Sector: Staffing & HR services supporting enterprise technology teams across SaaS, FinTech, e-commerce, and analytics. We place cloud and data engineering talent who build scalable, secure, production data platforms on AWS for enterprise customers.
Primary Title (standardized): AWS Data Engineer
Location & Workplace: India On-site
About The Opportunity
We are seeking an experienced AWS Data Engineer to join a client-facing delivery team responsible for designing, building, and operating cloud-native data platforms. You will implement production ETL/ELT pipelines, data modeling, and performance tuning to deliver reliable analytics and BI-ready datasets for business and data-science consumers.
Role & Responsibilities
- Design, build, and maintain scalable ETL/ELT data pipelines on AWS using Glue, Spark, and Airflow to ingest, transform, and curate data for analytics.
- Implement and optimize data storage and query layers (S3, Redshift), including partitioning, distribution styles, and vacuum/compaction strategies to reduce cost and latency.
- Develop PySpark/Python jobs and SQL-based transformations, implementing testing, error-handling, and schema evolution best practices.
- Implement orchestration and scheduling using Apache Airflow, create observability (metrics/logging) and alerting for pipeline health and SLA adherence.
- Collaborate with data scientists and BI teams to produce consumption-ready datasets, define data contracts, and enable reproducible feature pipelines.
- Drive infrastructure-as-code and CI/CD for data services, and troubleshoot production incidents to ensure high availability and data quality.
Skills & Qualifications
Must-Have
- Amazon S3
- Amazon Redshift
- AWS Glue
- Apache Spark
- PySpark
- Python
- SQL
- Apache Airflow
Preferred
- Terraform
- AWS Lambda
- Amazon Kinesis
Additional Qualifications
- Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent practical experience).
- 3+ years of hands-on experience building data pipelines and data warehouses on AWS (enterprise/production environments preferred).
- Strong understanding of data modeling, partitioning strategies, performance tuning, and data quality practices.
- Ability to work on-site in India and collaborate with cross-functional teams and stakeholders.
Benefits & Culture Highlights
- Opportunity to work on enterprise-scale AWS data platforms and accelerate cloud data engineering expertise.
- Structured career growth, technical mentorship, and exposure to data science use-cases.
- Collaborative, delivery-focused environment with emphasis on observability, automation, and engineering best practices.
Apply if you are a hands-on AWS data engineer who delivers robust, cost-efficient data solutions and enjoys solving data quality and performance challenges in production environments.
Skills: aws,glue,apache spark,amazon redshift,sql,python
