Data Engineer

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.
• Strong 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.