Description

Key Skills: Azure Databricks, PySpark, Python, SQL, Data Engineering, Data Pipelines, Batch Processing, Data Transformation, Data Integration, Cloud Data Platforms, Data Quality, Data Modeling, Enterprise Data Platforms

Roles & Responsibilities:

• Develop and maintain data pipelines on Azure Databricks using PySpark and Python
• Build scalable batch processing solutions for structured and semi-structured data
• Implement data transformations and integration logic for enterprise data platforms
• Support data quality checks and troubleshoot pipeline issues across environments
• Collaborate on data model and SQL-based consumption requirements

Experience:

• 6 to 13 years of relevant data engineering experience
• Strong hands-on experience with Python and PySpark for data engineering workloads
• Practical experience with Azure Databricks and cloud-based data processing platforms
• Ability to build scalable data transformation logic for large datasets
• Experience working with SQL and data pipeline development in enterprise environments

Good to Have:

• SQL

Education:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field

Key Skills

Education

Any Graduate