Posted:4 days ago| Platform: Linkedin logo

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On-site

Job Type

Contractual

Job Description

About the Role:

Data Engineer / Analytics Engineer

Key Responsibilities:

  • Design, develop, and maintain robust

    data pipelines

    using

    Python

    ,

    DBT

    , and

    Snowflake

    .
  • Write and optimize complex

    SQL queries

    for data extraction, transformation, and analysis.
  • Implement and manage

    data models

    in Snowflake to support reporting and analytical workloads.
  • Collaborate with

    data analysts, data scientists, and business stakeholders

    to understand data requirements and deliver high-quality data solutions.
  • Ensure

    data quality, integrity, and performance optimization

    across all data systems.
  • Develop and maintain

    DBT models

    with modular, testable, and version-controlled transformations.
  • Automate and monitor data workflows using

    modern orchestration tools

    (e.g., Airflow, Prefect).
  • Support

    data governance and documentation

    best practices.

Required Skills and Qualifications:

  • 4+ years of experience as a

    Data Engineer

    or

    Analytics Engineer

    .
  • Strong proficiency in

    Python

    for data processing and automation.
  • Expertise in

    Advanced SQL

    (CTEs, window functions, performance tuning).
  • Hands-on experience with

    DBT (Data Build Tool)

    for data transformations.
  • Solid experience with

    Snowflake

    (data modeling, warehouse design, performance optimization).
  • Experience working with

    cloud data platforms

    (AWS, GCP, or Azure).
  • Strong understanding of

    ETL/ELT processes

    and data lifecycle management.
  • Excellent problem-solving and communication skills.

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