Data Engineer - Snowflakes

5 - 10 years

10 - 20 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role Overview:

Snowflake Data Engineer

Key Responsibilities:

  • Design and implement

    data pipelines

    and ETL processes using

    Snowflake

    and

    Python

    .
  • Develop and optimize

    Snowflake schemas

    , tables, and views for efficient data storage and retrieval.
  • Integrate data from multiple sources (structured and semi-structured) into Snowflake.
  • Implement

    data transformation logic

    using Python and SQL for analytics and reporting needs.
  • Ensure

    data quality, security, and compliance

    across all data workflows.
  • Collaborate with

    data analysts, BI teams, and stakeholders

    to deliver high-quality data solutions.
  • Monitor and troubleshoot performance issues in Snowflake and optimize queries for cost efficiency.
  • Automate workflows and implement

    CI/CD for data pipelines

    .

Required Skills & Qualifications:

  • 5+ years

    of experience in

    data engineering

    with strong focus on Snowflake and Python.
  • Proficiency in

    Snowflake features

    : Virtual Warehouses, Streams, Tasks, Time Travel, Cloning, and Query Optimization.
  • Strong

    Python programming skills

    for data processing and automation.
  • Expertise in

    SQL

    and performance tuning for large datasets.
  • Experience with

    ETL tools

    (e.g., Airflow, dbt, Informatica) and

    data integration frameworks

    .
  • Familiarity with

    cloud platforms

    (AWS, Azure, or GCP) and related services.
  • Knowledge of

    data governance, security, and compliance best practices

    .
  • Excellent problem-solving and communication skills.

Nice-to-Have:

  • Experience with

    Snowflake Data Sharing

    ,

    Snowpipe

    , and

    external tables

    .
  • Exposure to

    data modeling

    and

    data warehousing concepts

    .
  • Knowledge of

    CI/CD pipelines

    and

    DevOps practices

    for data engineering.

Education:

  • Bachelors or Masters degree in Computer Science, Information Technology, or related field.

Interested Candidates can reach - pooja.suresh@relevantz.com

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