Job Description

Data Engineer – Databricks | Pharma Domain

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Location: India (Remote)

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Experience: 4+ Years

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Employment Type: Contract / Full time

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Domain: Pharma Domain – Mandatory

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Job Summary

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We are looking for an experienced Data Engineer with strong hands-on experience in Databricks, PySpark, SQL, CI/CD, and Version Control . The ideal candidate should have experience working on Pharma domain projects and be comfortable developing and maintaining scalable data pipelines.

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Key Responsibilities

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

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

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

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Candidates must have direct Pharma domain/project experience.

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Healthcare or non-Pharma experience will not be considered.

📌 Data Engineer - Databricks | Pharma Domain(Must) (India)
🏢 Virtual Labs
📍 India