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 (India)
🏢 MyCareernet
📍 India