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Data Engineer

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Job Description - Data Engineer

Job Summary:

As a Data Engineer, you
will play a key role in designing, building, and maintaining the data
infrastructure that powers our products and drives business insights. This is
an opportunity to join a fast -moving, innovation -driven team where your work
will directly impact how we leverage data to serve global enterprises.

 
Key Responsibilities:

  • Design, build, and maintain
    scalable data pipelines and ETL/ELT processes.

  • Develop and optimize complex
    SQL queries, stored procedures, and database structures.

  • Create and manage data models,
    data warehouses, and data lakes.

  • Ensure data quality, integrity,
    and availability across systems.

  • Collaborate with analytics,
    product, and engineering teams to support data -driven decisions.

  • Monitor and troubleshoot data
    pipeline performance and reliability.

  • Document data architecture,
    processes, and best practices.



Requirements


  • 3+ years of experience as a
    data engineer or similar role.

  • Expert -level proficiency in SQL
    (complex queries, performance tuning, database design).

  • Strong proficiency in Python
    for data processing and automation.

  • Solid understanding of data
    modeling, data warehousing concepts, and ETL/ELT methodologies.

  • Strong problem -solving skills,
    attention to detail, and ability to work independently.

     

Nice to Have:

  • Experience with cloud data
    platforms (AWS Redshift, Azure Synapse, Google BigQuery, or Snowflake).

  • Familiarity with data
    orchestration tools (Airflow, dbt, Luigi, or similar).

  • Knowledge of data visualization
    tools (Tableau, Power BI, Looker).

  • Background in working with
    large -scale datasets and big data technologies.




Original job Data Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.
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