4 - 9 years

15 - 25 Lacs

pune bengaluru mumbai (all areas)

Posted:2 weeks ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: Data Engineer MongoDB Migration (Hiring for a big MNC - CG)

Experience:

4-6 yrs - 17 LPA

Role Overview

MongoDB migrations

Key Responsibilities

Data Pipeline & Migration

  • Design and build

    ETL pipelines

    for migrating

    party and relationship data

    across systems.
  • Implement complex

    data transformations, mappings, and validation rules

    aligned with the

    enterprise data model

    .
  • Define

    data contracts, schemas

    , and ensure consistency during

    CDC (Change Data Capture)

    or

    dual-write

    cutover phases.
  • Develop, optimize, and maintain data ingestion processes using APIs,

    Kafka streaming

    , or batch frameworks ensuring high performance, scalability, and idempotency.
  • Execute robust

    data quality checks, reconciliation workflows, and audit controls

    to ensure data completeness, accuracy, and regulatory compliance.

Collaboration & Governance

  • Work closely with

    data architects

    , business analysts, and application teams to ensure alignment between technical pipelines and business logic.
  • Ensure adherence to enterprise

    data lineage

    , data governance, and security frameworks throughout the migration lifecycle.
  • Participate in deployment, monitoring, and continuous improvement of ETL processes via

    CI/CD pipelines

    .

Technical Skills Required

  • Strong proficiency in

    MongoDB

    , including schema design, performance tuning, and hands-on migration experience.
  • Solid experience with

    SQL databases

    (Oracle/MySQL/PostgreSQL).
  • Programming expertise in

    Python, Java, or Scala

    .
  • Hands-on experience with data migration and ETL tools such as

    AWS Glue

    ,

    Apache Spark

    , and

    API-based integrations

    .
  • Familiarity with

    Kafka

    ,

    Git

    ,

    Jenkins/CI-CD pipelines

    , and

    JSON data modeling

    .
  • Strong understanding of

    data lineage, data quality frameworks

    , and enterprise governance practices.

Experience

  • 4-7 years

    of experience in

    Data Engineering

    , preferably in large-scale enterprise environments.
  • Minimum

    2+ years

    of practical, hands-on experience with

    MongoDB or NoSQL migrations

    .
  • Experience working with

    banking customer systems

    (CRM, CDM, FCR) or similar highly regulated environments.

Important Note

real-world, practical experience in MongoDB migration

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