Sr Data Engineer

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