7 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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Role Overview

Data Engineer


Key Responsibilities

Data Engineering & Pipeline Development

  • Design, develop, and maintain scalable data pipelines using

    Azure Databricks

    and

    Apache Spark

    .
  • Build and orchestrate workflows using

    Azure Data Factory (ADF)

    .

Data Integration

  • Ingest and process structured, semi-structured, and unstructured data.
  • Implement ETL/ELT pipelines using

    Delta Lake

    and

    Azure Data Lake

    .

Performance Optimization

  • Optimize Spark jobs for performance, reliability, and cost efficiency.
  • Troubleshoot distributed processing bottlenecks.

Automation & DevOps

  • Automate data ingestion, transformation, and deployment workflows.
  • Implement CI/CD pipelines using

    GitHub Actions

    or similar tools.

Collaboration & Enablement

  • Work closely with data analysts, business users, and citizen developers.
  • Support self-service analytics and low-code/no-code automation initiatives.

Governance & Security

  • Ensure compliance with data governance, security, and privacy standards.
  • Work with metadata, lineage, and governance tools.

Required Technical Skills

Must-Have

  • Azure Databricks
  • Azure Data Factory (ADF)
  • Apache Spark
  • Python
  • SQL

Good-to-Have

  • Power Apps, Power Automate, Azure Logic Apps
  • MLflow
  • Delta Lake
  • CI/CD pipelines
  • Machine Learning workflows

Preferred Qualifications

  • Experience building CI/CD pipelines for Databricks.
  • Knowledge of

    Azure Purview

    or similar governance tools.
  • Experience working in Agile environments.

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