Data Engineer

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Skills and Qualifications:

  • Experience:

    5+ years of experience as a Data Engineer or similar role, with hands-on experience in designing, building, and maintaining ETL pipelines.
  • Technologies:

  • Proficient in

    PySpark

    for large-scale data processing.
  • Strong programming experience in

    Python

    , particularly for data engineering tasks.
  • Experience of

    Azure Data Factory

    working with

    Databricks

    for big data processing and collaboration.
  • Hands-on experience with data storage solutions (e.g., AWS S3, Azure Data Lake, or Google Cloud Storage).
  • Solid understanding of

    ETL

    concepts, tools, and best practices.
  • Familiarity with

    SQL

    for querying and manipulating data in relational databases.
  • Experience working with data orchestration tools such as

    Apache Airflow

    or

    Luigi

    is a plus.
  • Data Modeling & Warehousing:

  • Experience with data warehousing concepts and technologies (e.g., Redshift, Snowflake, or BigQuery).
  • Knowledge of data modeling, data transformations, and dimensional modeling.
  • Soft Skills:

  • Strong analytical and problem-solving skills.
  • Excellent communication skills, capable of explaining complex data processes to non-technical stakeholders.
  • Ability to work in a fast-paced, collaborative environment and manage multiple priorities.

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