4 - 8 years

6 - 10 Lacs

Posted:4 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Data Engineer

Key Responsibilities:

  • Design, develop, and maintain robust data pipelines using

    Azure Data Factory

    and

    Azure Databricks

    .
  • Write efficient and scalable code in

    Python

    and

    PySpark

    for data ingestion, transformation, and processing.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions.
  • Implement best practices in data modeling, data quality, and pipeline orchestration.
  • Optimize existing workflows for performance, scalability, and cost-efficiency.
  • Work with large volumes of structured and semi-structured data from multiple sources.
  • Maintain and improve SQL-based ETL processes and ensure data accuracy and reliability.

Required Skills:

  • 4–5 years of experience in Data Engineering or a similar role.
  • Hands-on experience with

    Azure Data Factory (ADF)

    and

    Azure Databricks (ADB)

    .
  • Strong programming skills in

    Python

    and

    PySpark

    .
  • Expert-level SQL skills for querying, analysis, and performance tuning.
  • Experience working with large-scale data pipelines and distributed systems.
  • Familiarity with Azure cloud services and data storage (e.g., ADLS, Blob Storage).
  • Experience in debugging, testing, and version controlling data workflows.

Preferred Qualifications:

  • Experience with CI/CD pipelines in data engineering projects.
  • Knowledge of data governance, security, and compliance.
  • Exposure to DevOps practices or tools like Git, Azure DevOps, etc.
  • Familiarity with other Azure tools (e.g., Synapse, Logic Apps) is a plus.

Soft Skills:

  • Strong problem-solving and analytical thinking.
  • Effective communication and documentation skills.
  • Ability to work independently as well as in a collaborative team environment.

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