Data/ETL Engineer

About the role

We are seeking a skilled Data Engineer to design, build, and maintain scalable data solutions. The ideal candidate will develop efficient data pipelines, optimize data processing workflows, and support reliable data operations across the organization.

What you'll do

• Design, build, and maintain scalable data pipelines using tools such as Apache Spark, Kafka, and Airflow
• Develop and optimize ETL and ELT processes to ingest data from structured and unstructured sources
• Create and manage data models and data warehouses such as Snowflake, Redshift, and BigQuery
• Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions
• Ensure data quality, security, and compliance with data governance policies

What you need

• 2–5 yrs of experience
• ETL
• SQL
• Python
• Spark
• Kafka
• Airflow
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• Machine learning
• CI/CD
• Docker
• Kubernetes
• AWS
• Data modelling