Data Engineer
Job Description
AWS Data Engineer
About the Role We're looking for a Data Engineer to join our Pune team. You'll work with senior engineers to build and maintain data pipelines, write efficient SQL queries, and use AWS services to power data processing across the organization.
What You'll Do
- Build, test, and maintain ETL/ELT data pipelines
- Write and optimize SQL queries for data extraction and reporting
- Work with AWS services (S3, Glue, Lambda, Redshift) for data processing
- Monitor data quality and troubleshoot pipeline issues
- Collaborate with analysts, data scientists, and senior engineers
- Document workflows and data schemas
What We're Looking For
- 2+ years of experience in data engineering or ETL development
- Strong SQL skills (PostgreSQL, MySQL, or SQL Server)
- Hands-on AWS experience — S3, Glue; exposure to Redshift/Lambda a plus
- Working knowledge of Python for data scripting
- Good to have: Spark/PySpark, data warehousing concepts, Git
Interview Process Face-to-face interview in Pune Candidates should be comfortable and available for an in-person interview.
More Info
About Company
Skills:
Pyspark, Scala, Kafka, Azure Databricks, HBase, Sql, Mapreduce, ELT, Big Data Technologies, Hive, Azure Functions, Spark, Data Lake, Python, Etl, Lakehouse, Event Hubs, Delta Lake
Skills:
Infrastructure as Code (IaC) using CloudFormation, Java, Cloudwatch, Docker, ECS, Python, Large-scale systems design, AWS Developer certification, Realtime Services framework, EKS
Skills:
snowflake , Exploratory Data Analysis, Terraform, Sql, Python, Automated Testing, Data Quality Checks, GitHub Actions, CI/CD pipelines, dbt, Data Analysis
Skills:
Aws Services, Prometheus, Shell Scripting, Grafana, Linux Administration, Git, Docker, Terraform, Ansible, Openshift, Gitlab, Databricks, Kubernetes, Python, RKE2, Airflow, Amazon EKS, Elastic Stack, Rancher
Skills:
Version Control, Git, Scala, Informatica, Sql, Python, Business intelligence