Senior Data Engineer - SQL/Python/Snowflake/ETL/Data Pipelines

10 - 15 years

20 - 30 Lacs

Posted:None| Platform: Naukri logo

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Work Mode

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Job Type

Full Time

Job Description

About the Role

Senior Data Engineer

hands-on technical leadership

Key Responsibilities

  • Design, build, and optimise scalable, high-performance

    ETL/ELT pipelines

    .
  • Maintain and enhance our

    Snowflake data warehouse

    to ensure clean, well-modelled, and trustworthy data.
  • Collaborate with analytics, product, and business teams to translate data needs into effective technical solutions.
  • Enable self-service analytics by structuring data for intuitive reporting and exploration.
  • Implement best practices for

    data quality, testing, documentation, and orchestration

    .
  • Mentor junior engineers and actively participate in

    code reviews

    and

    technical design sessions

    .

Required Skills & Qualifications

  • Expert-level

    SQL

    and strong

    Python

    skills for data transformation and automation.
  • Proven experience in designing, building, and maintaining

    data warehouses

    or

    data lake architectures

    .
  • Strong track record of developing and optimising robust data pipelines from multiple data sources.
  • Knowledge of modern data modelling techniques (e.g.,

    Star Schema

    ,

    Slowly Changing Dimensions

    ,

    Incremental Models

    ).
  • Experience working directly with stakeholders to gather requirements and deliver actionable solutions.
  • Ability to work independently and lead projects from concept to completion.

Preferred Skills (Nice to Have)

  • Hands-on experience with

    Snowflake

    ,

    dbt

    ,

    Airflow

    , or similar tools.
  • Familiarity with cloud platforms such as

    AWS

    ,

    Azure

    , or

    GCP

    .
  • Experience with BI tools like

    Looker

    ,

    Tableau

    , or

    Amazon QuickSight

    .
  • Knowledge of

    version control

    and

    CI/CD workflows

    in a data engineering environment.

Why Join Us?

  • Opportunity to

    own and shape

    the companys data infrastructure.
  • Work with

    cross-functional teams,

    driving real business impact.
  • Culture of learning, innovation, and collaboration.
  • Competitive salary, benefits, and career growth opportunities.

apply now

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