Industry & Sector
Enterprise Cloud & Data Engineering services focused on building scalable data platforms, data lakes and analytics pipelines for B2B customers across FinTech, Retail, and SaaS. We deliver secure, production-grade cloud data solutions on AWS to enable real-time analytics, BI, and ML use-cases.
Primary Title: AWS Data Engineer (On-site, India)
Role & Responsibilities
- Design and implement scalable ETL/ELT data pipelines on AWS for batch and streaming workloads using S3, Redshift, Glue, and Spark.
- Develop PySpark jobs and Python services to transform, validate, and aggregate large datasets, ensuring data quality and lineage.
- Build and maintain data warehouse schemas, partitioning strategies, and performance optimizations for Redshift and data lake queries.
- Automate deployments and infrastructure using Terraform and CI/CD pipelines; manage IaC for reproducible environments.
- Instrument observabilitylogging, metrics, and alertsfor ETL workflows; troubleshoot production incidents and optimize throughput and cost.
- Collaborate with data scientists, analysts, and product teams to translate business requirements into reliable data models and APIs.
Skills & Qualifications
Must-Have
- AWS, Python / PySpark : Min 4+ yrs of experience
- Experience in RDD and Map functions in PySpark
- AWS services Glue, Lambda, Redshift, Step functions, Cloud formation / CFT
- Good to have
- Lake formation / LFT
Enterprise platform experience
Preferred
- Apache Airflow
- AWS Lambda
- AWS Certified DataAnalytics-Specialty
Benefits & Culture Highlights
- Hands-on ownership of end-to-end data platform projects and opportunity to influence architecture decisions.
- Collaborative, engineering-first culture with focus on automation, observability, and continuous improvement.
- On-site role in India offering close collaboration with cross-functional teams and rapid career growth.
Location & Workplace: On-site, India. This role requires on-premise presence for close team collaboration and delivery.
Skills: amazon redshift,data engineer,aws,terraform,apache spark,etl,sql,python,aws lambda,cloud
