Impetus Technologies
Mongodb Database Developer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Hybrid
Published on:
3 September 2026
What they need
Role & responsibilities :
We are seeking a highly experienced MongoDB Lead/Architect to lead a large-scale legacy data modernization initiative, involving migration of old mainframe-based data systems into a modern MongoDB ecosystem.
This role requires deep expertise in data discovery, reverse engineering, canonical data modeling, and NoSQL schema design, along with the ability to handle highly complex, undocumented legacy systems.
- Lead end-to-end data architecture and migration strategy from legacy mainframe systems to MongoDB
- Perform data discovery and reverse engineering of undocumented / poorly documented systems
- Analyze mainframe data structures (VSAM, flat files, hierarchical data, etc.)
- Define and design canonical data models for enterprise-wide usage
- Design optimized MongoDB document models (collections, embedding, referencing)
- Establish data transformation, cleansing, and mapping strategies
- Build data migration frameworks and pipelines
- Ensure data consistency, integrity, and reconciliation during migration
- Implement MongoDB best practices (indexing, sharding, replication, performance tuning)
- Collaborate with business stakeholders to understand implicit data relationships and rules
- Define data governance, metadata, and lineage frameworks
- Support validation, testing, and post-migration stabilization
- Mentor teams on NoSQL design principles and migration approaches
Preferred candidate profile :
MongoDB & NoSQL Expertise
Deep hands-on experience with MongoDB architecture
Migrating from RDBMS/SQL to MongoDB/NoSQL
Knowdlege of MongoDB (Replica Sets, Sharding, Aggregation Framework)
Familiarity with GCP cloud platforms
Strong expertise in:
Document data modeling
Schema design (embedding vs referencing)
Indexing, aggregation framework
Sharding and replication
Data Modeling & Architecture
Expertise in canonical data modeling
Strong experience in:
Data normalization vs denormalization
Designing enterprise-wide data models
Mapping legacy data to modern schemas
Data Migration & Engineering
Experience in large-scale data migration programs (Migrating from RDBMS/SQL to MongoDB/NoSQL)
Knowledge of:
ETL/ELT processes
Data transformation and cleansing
Data reconciliation techniques
Experience with tools like Spark / Python / data pipelines
Legacy System Understanding (Good to have)
Strong experience with mainframe data systems
Knowledge of:
VSAM files
COBOL copybooks
Flat files / hierarchical data structures
Ability to work with missing or undocumented codebases
Problem Solving & Analysis
- Strong analytical skills to interpret legacy data without documentation
- Ability to infer business rules from data patterns
Performance & Scalability
- Experience in performance tuning MongoDB workloads
- Ability to design for high-volume, high-velocity data systems
Preferred Qualifications
- Experience in banking / insurance / government legacy systems
- Exposure to data governance frameworks
- Familiarity with cloud platforms (AWS/GCP/Azure)
- Experience with data cataloging and metadata tools
- MongoDB certifications (Developer/DBA)
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