Company:IT Services Organization
Key Skills: Pyspark, MySQL, Databricks, Python, Data Warehouse, AWS Cloud, Git, Data Modelling
Roles and Responsibilities:
Develop and maintain data pipelines for ingestion, transformation, and delivery across enterprise data platforms.
Build scalable Spark-based processing jobs using Python and PySpark in Databricks.
Write and optimize SQL queries for data extraction, transformation, and analytical use cases.
Support cloud-based data workflows on AWS services used for storage, processing, and orchestration.
Partner with engineering and analytics teams to deliver well-modeled datasets for downstream consumption.
Skills Required:
7 to 10 years of relevant data engineering experience.
Solid hands-on experience with Python, PySpark, Databricks, and MySQL.
Experience designing and supporting data pipelines and cloud data platforms.
Ability to work with large datasets and optimize SQL and Spark-based processing.
Experience with AWS-based data environments and production-grade data delivery.
Good to Have:
Data Modelling
Data Warehouse
AWS Cloud
Git
Education: Bachelor's degree in Computer Science, Engineering, or a related field.

📌 Data Engineer_102568 (Chennai)
🏢 MyCareernet
📍 Chennai