Data Engineer

5 - 9 years

16 - 30 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Data Engineer

Key Responsibilities

Data Pipeline & Big Data Engineering

  • Design, develop, and optimize robust

    Extract, Transform, Load (ETL)/Extract, Load, Transform (ELT)

    data pipelines using

    Apache Spark

    (preferably

    PySpark

    ) to process massive, diverse datasets (batch and streaming).
  • Utilize

    Pandas

    for localized, highly efficient data manipulation, cleaning, and preparation, often for data prototyping or for data that fits within memory limits.
  • Leverage

    NumPy

    for complex numerical computations, vectorization, and efficient array operations within data preparation tasks.
  • Implement data quality checks, monitoring, and alerting for all production data pipelines, ensuring data integrity and reliability.
  • Optimize Spark jobs and data processing workflows for performance, cost-efficiency, and scalability.

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