MongoDB Developer

Discipline: Data Engineering
Job type: Permanent
Contact name: Simran Bhatia

Contact email: simran.bhatia@crescendogroup.in
Job ref: 69452
Published: 8 days ago

 MongoDB & Databricks  – 4 to 8 Years – PAN India

Summary

Hiring a Data Engineer (4–8 yrs) with strong hands-on experience in MongoDB and SQL, and working knowledge or exposure to Databricks, to support complex data modeling and integration projects

Your Future Employer

A global leader in IT services and consulting, renowned for delivering innovative technology solutions—ranging from cloud and data to enterprise applications—across industries like banking, healthcare, retail, and manufacturing, with a strong emphasis on digital transformation and client success.

Responsibilities

    • MongoDB – hands-on experience in real projects, including complex query writing, collections/tables/view creation, performance tuning

    • SQL – proficiency in working with SQL Server, PostgreSQL, or equivalent RDBMS

    • Strong ability to understand and modify database objects per business needs

    • Proven ability to resolve dev team issues, manage change requests, and support cross-functional data requirements

Requirements

    • Databricks – hands-on or exposure to working in Databricks environment for data pipelines or analytics

    • Knowledge of data integration with BI/reporting systems

    • Experience working with business analysts, data engineers, and risk/reporting teams

What’s in It for You

    • Strong expertise in MongoDB

    • Proficiency in SQL Server and/or PostgreSQL

    • Solid understanding of database design, indexing, and optimization techniques

    • Experience in supporting reporting and analytics platforms

    • Ability to troubleshoot and resolve database-related issues

Reach us: If you think this role is aligned with your career, kindly write me an email along with your updated CV on simran.bhatia@crescendogroup.in for a confidential discussion on the role.

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Keywords –MongoDB, SQL, Databricks, PostgreSQL, SQL Server, NoSQL, Data Modeling, Complex Queries, Database Objects, Data Integration, Views, Tables, Relational Databases, Non-Relational Databases, Change Requests, Business Analysis Support.