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Data Migration Lead

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Hybrid

Data Migration Lead

Innovalus Technologies

Data Migration Lead

Skills

SQL QueriesPostgreSQLMySQLKafkaSnowflakeDatabricksAIAWSTerraform

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹1,800,000 – ₹2,000,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

11 August 2026

What they need


Job Title: Data Migration Lead

Experience: 6 to 12 Years
Location: Bangalore (Work from Office/Hybrid candidates must be based in Bangalore, no relocation)

Notice Period: Immediate Joiners / Candidates Serving Notice Preferred

About the Role:

We are hiring a Data Migration Lead to design, develop, and evolve the data foundation of cloud-native, multi-tenant, multi-region, API-first platforms.

You will own schema and query design, tenant-aware partitioning, and zero-downtime migrations from legacy monoliths, working across relational and NoSQL data stores.

Key Responsibilities:

  • Design and develop production database schemas and data models across RDBMS and NoSQL
  • Plan and execute large-scale data migrations using dual-write, CDC, backfill + reconciliation, and strangler-fig cutover
  • Deliver zero-downtime live-client migrations with rehearsed rollback and data validation
  • Drive query and schema performance — execution plans, index design, query tuning
  • Design for HA/DR — replication, failover, multi-AZ, and cross-region recovery
  • Enforce data residency and privacy requirements (GDPR, CCPA, DPDP)
  • Apply AI tools (Claude Code and similar) across schema review, query optimization, and migration scripting

Must-Have Skills:

  • PostgreSQL and MySQL (both mandatory)
  • AWS, including RDS
  • Hands-on Data Migration experience
  • Data Modelling
  • ETL tools — AWS DMS, AWS SCT, AWS Glue, or similar
  • Strong SQL + exposure to at least one NoSQL system
  • CDC tools such as Debezium, DMS, or Kafka

Good to Have:

  • AWS Certification (Database Specialty or Solutions Architect Associate)
  • Experience with Terraform/CDK for database provisioning
  • Exposure to data lakehouse/warehouse tools (Snowflake, Databricks, Redshift)

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