Data Engineer – Databricks | Pharma Domain

nLocation: India (Remote)

nExperience: 4+ Years

nEmployment Type: Contract / Full-Time

nDomain: Pharma Domain – Mandatory

nJob Summary

nWe are looking for an experienced Data Engineer with robust 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.

nKey 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 team-oriented 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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nMandatory 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 – Solid
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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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nPreferred

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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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nImportant

nCandidates must have direct Pharma domain/project experience.

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nHealthcare or non-Pharma experience will not be considered.

📌 Data Engineer Databricks Pharma Domain Must Varanasi
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📍 Varanasi