Senior Data Engineer (GCP)

4 - 8 years

15 - 30 Lacs

Posted:6 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Senior Data Engineer

Key Responsibilities

  • Architect, build, and optimize large-scale batch and streaming data pipelines using frameworks such as

    Apache Spark

    on

    GCP (mandatory)

    or AWS.
  • Design, manage, and automate data flows across multiple systems and data stores.
  • Define and enforce data quality, reliability, and governance standards.
  • Develop scalable, efficient, and secure data processing solutions.
  • Collaborate with cross-functional teams (Product, Analytics, Engineering) to translate business requirements into robust data solutions.
  • Implement CI/CD, testing, and automation best practices for data workflows.
  • Monitor and optimize system performance and cost efficiency.
  • Stay current with emerging technologies and drive continuous improvements in the data stack.

Qualifications

  • Experience:

    48 years in data engineering or backend data systems.
  • Strong foundation in

    data structures

    ,

    algorithms

    , and

    system design

    .
  • Proficiency in

    Python

    or

    Scala

    (preferred).
  • Hands-on experience with

    Big Data frameworks:

    Spark, Hadoop, Hive, Sqoop, HDFS, Airflow, Zookeeper.
  • Mandatory:

    Experience working with

    Google Cloud Platform (GCP)

    — BigQuery, Dataflow, Composer, Dataproc, Pub/Sub, Cloud Storage, etc.
  • Experience with

    Databricks Notebooks

    and

    Jobs API

    is a strong plus.
  • Strong knowledge of

    SQL

    (RDBMS + NoSQL: Postgres, MySQL, Redshift, Redis) with query optimization and schema design.
  • Familiarity with

    Docker

    ,

    Kubernetes

    , and workflow orchestration tools such as

    Airflow

    or

    Luigi

    .
  • Proficient with

    Git

    and collaborative development workflows.
  • Excellent communication, analytical, and problem-solving skills.

Role Details

  • Role:

    Senior Data Engineer
  • Industry Type:

    Software Product (AdTech / MarTech)
  • Department:

    Engineering – Data & Software
  • Employment Type:

    Full Time, Permanent
  • Role Category:

    Data Engineering / Software Development


Key Skills

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