Data Engineer Implementation Specialist

3 - 6 years

10 - 20 Lacs

Posted:1 week ago| Platform: Naukri logo

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Role Overview

Data Engineer (Core) Implementation Specialist

You will play a hands-on role across the data implementation lifecycle—right from ingestion and transformation to deployment and post-go-live support—ensuring high data quality, performance, and reliability across platforms.

Key Responsibilities

  • Design, build, and implement

    data pipelines and ETL/ELT workflows

    .
  • Work closely with business and technical stakeholders to implement

    data solutions aligned with requirements

    .
  • Develop, optimize, and maintain

    data models and transformations

    .
  • Integrate data from

    multiple source systems

    into centralized data platforms.
  • Ensure

    data quality, reliability, scalability, and performance

    of pipelines.
  • Support

    deployment, monitoring, troubleshooting, and issue resolution

    in production environments.
  • Collaborate with

    analytics, application development, and DevOps teams

    to enable end-to-end data solutions.
  • Document data implementations, configurations, and workflows.
  • Provide

    post-go-live support

    , enhancements, and optimization as needed.

Required Skills & Experience

  • 3–6 years of experience as a

    Data Engineer

    or

    Implementation Specialist

    .
  • Strong hands-on expertise in

    SQL

    and

    data modeling

    concepts.
  • Experience working with

    ETL/ELT tools or data processing frameworks

    .
  • Working knowledge of

    Python

    and/or

    Apache Spark

    (preferred).
  • Solid understanding of

    data warehousing concepts

    and dimensional modeling.
  • Familiarity with

    cloud data platforms

    such as

    AWS, Azure, or GCP

    .
  • Understanding of

    data integration, validation, and reconciliation

    techniques.

Nice to Have

  • Experience with modern cloud data warehouses such as

    Snowflake, Redshift, or BigQuery

    .
  • Exposure to

    workflow orchestration tools

    like

    Apache Airflow

    .
  • Knowledge of

    CI/CD practices for data pipelines

    .
  • Experience in

    customer-facing or implementation-focused roles

    .

Education

  • Bachelor’s or Master’s degree in

    Computer Science, Engineering, Information Technology

    , or a related field.

Why Join Us

  • Opportunity to work on

    real-world data implementations

    with measurable business impact.
  • Hands-on exposure to

    modern data engineering tools and cloud platforms

    .
  • Collaborative environment with analytics, engineering, and DevOps teams.
  • Competitive compensation and strong growth opportunities in the data engineering domain.

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