Industry & Sector: Hiring for a technology services firm focused on Cloud Data Engineering and analytics delivery for enterprise customers. The role supports large-scale data ingestion, transformation, and analytics workloads on AWS for clients across finance, retail, and SaaS domains. On-site role located in India.
Primary Job Title: AWS Data Engineer (On-site, India)
Role & Responsibilities
- Design, build and operate scalable ETL/ELT pipelines on AWS to ingest, transform, and deliver analytical datasets for reporting and ML use-cases.
- Author and optimise Spark-based jobs (PySpark) and AWS Glue ETL to process large, structured and semi-structured data with reliable performance and cost control.
- Implement and maintain data storage and query architectures using S3, Redshift, and query services (e.g., Athena) to meet SLAs for latency and concurrency.
- Collaborate with data architects and analysts to translate business requirements into data models, partitioning strategies, and lifecycle policies.
- Build observability and automation: CI/CD for data pipelines, automated deployments, monitoring, alerting, and cost-optimisation practices.
- Perform data validation, troubleshooting, and performance tuning; document designs, runbooks, and best-practice playbooks.
Skills & Qualifications
Must-Have
- AWS S3
- AWS Glue
- Amazon Redshift
- Apache Spark
- Python
- SQL
Preferred
- Terraform
- Apache Airflow
- AWS Kinesis
Benefits & Culture Highlights
- Hands-on ownership of end-to-end data products and opportunity to work on enterprise-scale AWS migrations and optimisation projects.
- Fast-paced, delivery-focused engineering culture with mentorship and opportunities to upskill on modern cloud data stacks.
- On-site collaboration with cross-functional teamsideal for engineers who prefer high-touch stakeholder engagement.
Location & Workplace: India On-site. If you are a results-driven AWS Data Engineer who excels at building reliable cloud data platforms and enjoys working in a delivery-focused environment, apply to be part of a high-impact data engineering team.
Skills: aws data engineer,data engineering,amazon redshift,sql,python,aws,pyspark,apache spark
