Azure Data Engineer

3 - 5 years

10 - 15 Lacs

Posted:10 hours ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Responsibilities:

  • Design, develop, and maintain

    scalable and efficient data pipelines

    using

    PySpark

    ,

    Scala Spark

    ,

    Databricks

    ,

    Python

    , and

    SQL

    .
  • Write

    optimized, reusable, and high-quality code

    for data processing and transformation.
  • Optimize

    SQL queries

    for high-performance data extraction, manipulation, and analysis.
  • Demonstrate strong expertise in

    Databricks

    , including

    workflow management

    ,

    job orchestration

    , and

    data exploration

    .
  • Collaborate with

    cross-functional teams

    to gather and understand business and data requirements.
  • Implement

    best practices

    for

    ETL

    ,

    data pipeline optimization

    , and

    query performance tuning

    .
  • Develop and maintain

    comprehensive documentation

    for all data pipelines, workflows, and related processes.
  • Troubleshoot, debug, and resolve data pipeline issues promptly to ensure

    data accuracy

    and

    minimal downtime

    .
  • Continuously explore opportunities for

    automation

    ,

    performance improvements

    , and

    scalability

    enhancements in data workflows.

Requirements:

  • Strong programming skills in

    Python

    ,

    PySpark

    , and

    SQL

    .
  • Experience with

    Databricks

    and

    Spark

    -based data processing frameworks.
  • Good understanding of

    ETL design principles

    ,

    data modeling

    , and

    data architecture

    .
  • Hands-on experience with

    workflow orchestration tools

    and

    version control systems

    (e.g., Git).
  • Familiarity with

    cloud-based data platforms

    (AWS, Azure, or GCP) is an added advantage.

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