Data Engineer

0 years

0 Lacs

Posted:1 month ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role

Data Engineer

Responsibilities

  • Design and architect

    scalable and efficient data pipelines

    for batch and real-time processing.
  • Develop and optimize solutions using

    Spark (PySpark)

    and

    SQL

    .
  • Ensure data pipelines are

    reliable, maintainable, and well-tested

    .
  • Work with stakeholders to understand business requirements and translate them into

    data-driven solutions

    .
  • Collaborate with cross-functional teams to ensure

    data quality, availability, and performance

    .
  • Stay updated with

    emerging data engineering tools and practices

    .

Must-Have Skills

  • Strong expertise in

    Spark (PySpark)

    .
  • Proficiency in

    SQL

    (query optimization, performance tuning, complex joins).
  • Hands-on experience in

    designing and architecting data pipelines

    .
  • Excellent

    communication and collaboration skills

    .

Good to Have

  • Experience with

    data streaming platforms

    (Kafka, Kinesis, etc.).
  • Proficiency in

    Python

    for data engineering tasks.
  • Exposure to

    Databricks

    and

    Azure cloud

    services.
  • Knowledge of

    HTAP systems, Debezium, 3PL/logistics domain

    (having most of this mentioned skills would be great)
  • Familiarity with

    orchestration frameworks

    such as

    Apache Airflow

    or

    Apache NiFi

    .

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