Data Engineer

Job Description

Responsibilities

• Design, develop, and maintain data pipelines using Databricks.
• Work with Databricks Notebooks and Databricks Pipelines for data processing and transformation.
• Develop data transformation and processing workflows using PySpark.
• Write optimized SQL queries for data extraction, transformation, and analysis.
• Build and maintain reliable ETL/ELT pipelines for large datasets.
• Implement data quality, validation, and error-handling processes.
• Work with CI/CD pipelines for deployment and release management.
• Use Git/version control for source-code management and collaborative development.
• Collaborate with business and technical teams to understand data requirements.
• Follow security, governance, documentation, and data engineering best practices.

Mandatory Skills

• Pharma Domain Experience MUST
• Databricks MUST
• Databricks Notebooks
• Databricks Pipelines
• PySpark Strong/basic hands-on experience
• SQL Strong
• CI/CD
• Git / Version Control
• Strong understanding of ETL/ELT and data pipeline development

Preferred

• Experience with cloud platforms such as Azure / AWS
• Experience working with large-scale datasets
• Understanding of data quality and data governance
• Experience working in Agile development environments

Important

Candidates must have direct Pharma domain/project experience

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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