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.
- Robust 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
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