Data Engineer

6 - 11 years

15 - 30 Lacs

Posted:6 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Title:

Experience:

About the Role

Data Engineer

Key Responsibilities

  • Design, develop, and maintain

    ETL/ELT pipelines

    using

    PySpark, Python, and Azure Data Factory

    .
  • Build and optimize

    data lakes, data warehouses, and big data pipelines

    on Azure.
  • Work with large-scale structured and unstructured datasets, ensuring high performance and reliability.
  • Collaborate with Data Architects, Analysts, and Business Stakeholders to understand requirements and deliver solutions.
  • Implement

    data governance, quality, and security

    best practices across all data platforms.
  • Monitor, troubleshoot, and optimize data pipelines for scalability and performance.
  • Stay updated with

    emerging Azure data services

    and best practices in big data engineering.

Required Skills & Experience

  • 6+ years

    of proven experience in

    Data Engineering

    .
  • Strong programming skills in

    Python

    and expertise in

    PySpark

    .
  • Hands-on experience with

    Azure Data Services

    (Azure Data Lake, Azure Data Factory, Azure Databricks, Azure Synapse, etc.).
  • Proficiency in

    SQL

    and working with relational as well as NoSQL databases.
  • Experience in

    data modeling, data warehouse design, and performance tuning

    .
  • Knowledge of

    CI/CD pipelines, version control (Git), and DevOps practices

    .
  • Strong problem-solving skills and the ability to work in an agile environment.

Good to Have

  • Exposure to

    Kafka, Event Hub, or other streaming platforms

    .
  • Experience with

    machine learning pipelines

    or integration with ML/AI models.
  • Familiarity with

    Docker, Kubernetes

    , or cloud-native data solutions.

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