Technical Lead - GCP

6 - 10 years

20 - 35 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Technical Lead

Key Responsibilities:

  • Lead and mentor

    a team of Data Engineers to design, develop, and optimize ETL workflows.
  • Architect

    end-to-end ETL solutions

    using

    Informatica

    and

    GCP services

    (BigQuery, Dataflow, Cloud Storage).
  • Define and enforce

    best practices

    , code standards, and review processes for ETL development.
  • Collaborate with

    business stakeholders and data architects

    to translate requirements into technical solutions.
  • Drive

    data migration, integration, and transformation

    for large-scale projects on

    GCP

    .
  • Ensure

    data quality, error handling

    , and robust validation mechanisms across pipelines.
  • Oversee

    code deployment processes

    , including version control (Git, SVN) and CI/CD integration.
  • Maintain clear and detailed

    documentation

    for ETL workflows, design, and deployment.

Required Skills & Experience:

  • 8+ years

    of experience in

    ETL development

    and

    data integration

    .
  • Strong hands-on experience with

    Informatica

  • Expertise in

    GCP data services

    such as

    BigQuery, Dataflow, Cloud Composer, Cloud Storage

    .
  • Advanced proficiency in

    SQL

    (including PL/SQL) for data transformations and logic.
  • Knowledge of

    ETL performance tuning, troubleshooting

    , and optimization techniques.
  • Experience with

    file processing

    ,

    shell scripting

    , and automation for ETL processes.
  • Familiarity with

    code version control tools

    (Git, SVN) and deployment best practices.
  • Good understanding of

    data modeling

    ,

    data governance

    , and

    pipeline architecture

    .

Good to Have:

  • Experience in

    building cloud-native ETL pipelines

    on

    GCP

    .
  • Exposure to

    Informatica Cloud (IICS) migrations to GCP.

  • Familiarity with

    Airflow

    or other orchestration tools for workflow automation.
  • Knowledge of

    DevOps and CI/CD practices

    for ETL deployments.

Leadership & Soft Skills:

  • Ability to

    lead, guide, and mentor

    a team of data engineers.
  • Strong

    communication skills

    to collaborate with business and technical stakeholders.
  • Capability to

    own delivery timelines

    and ensure adherence to quality standards.

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