About the role
No. of positions - 2
Location - Coimbatore/Bangalore
Notice period: Immediate Joiner only
Interview: Should be available for F2F interview after the 1st round
Experience:
3+ years of experience working in data engineering or big data environments.
Experience working with services like EMR, Glue, Redshift within AWS, Snowflake, and Databricks
Hands-on experience with AWS, Spark, Python, and SQL
Solid understanding of data modeling and data warehouse design principles
Experience with distributed data frameworks such as Spark (Core, SQL, Streaming) or Flink
Hands-on experience with Snowflake or Databricks
Experience working on setting up data warehouses/ lake or lakehouse platforms end-to-end
Industry knowledge in Retail, Logistics, FSI, or Manufacturing would be an added advantage
Develop, maintain, and optimize ETL pipelines for batch and streaming data
Work with data architects to implement scalable data models and warehouse structures
Write efficient SQL and PySpark code for data transformation and analytics
Support data quality, governance, and monitoring processes
Collaborate with business and analytics teams to understand data requirements and ensure timely data delivery
Participate in performance tuning and troubleshooting of data workflows
Contribute to documentation, standards, and automation across data engineering projects
Collaborate with cross-functional teams to ensure seamless data delivery and alignment with business goals
Technologies: AWS, Spark, Python, SQL, Airflow, Kafka, Snowflake, Databricks
Frameworks: Spark Core, Spark SQL, Spark Streaming/Flink
Soft Skills: Customer communication, Team coordination, problem-solving, Ownership