Lead Database Engineer

Fulcrum Digital Inc

Pune District

On-site

INR 400,000 - 800,000

Full time

3 days ago
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Job summary

Fulcrum Digital Inc. seeks a Lead Database Engineer to drive migration and consolidation of legacy databases into a unified schema, ensuring data integrity and production readiness.

You will oversee profiling, mapping, transformations, and reconciliation across DEV to Production environments, leveraging Azure, SQL Server, and various DB2/PostgreSQL/Oracle ecosystems. The role demands 10–12 years of experience, strong T-SQL and data engineering expertise, and leadership for complex migration

Qualifications

  • 10–12 years of database/data engineering experience.
  • Mandatory experience consolidating multiple databases into a single target schema.
  • Strong knowledge of Azure SQL, SQL Server internals, performance tuning, indexing.

Responsibilities

  • Lead end-to-end migration and consolidation of legacy databases into a single target schema.
  • Perform data profiling, source-to-target mapping, transformation, and master data/entity resolution.
  • Develop and execute full-load, incremental, delta, and CDC-based migration processes.
  • Design reconciliation processes covering row counts, checksums, control totals, and financial balancing.
  • Develop migration runbooks, rollback plans, rehearsal strategies, and production cutover plans.
  • Execute migrations across DEV, QA, UAT, and Production environments.
  • Develop and optimize complex T-SQL, stored procedures, functions, triggers, indexes, and queries.
  • Work with SQL Server/MSSQL, IBM DB2, PostgreSQL, and Oracle databases.
  • Utilize Azure SQL, Azure Data Factory, SSIS, Azure Storage, Azure Key Vault, DMA, and Azure Database Migration Service.
  • Implement database CI/CD using SSDT/DACPAC, Flyway/Liquibase, Azure DevOps, or GitHub Actions.
  • Ensure database security, data masking, encryption, RBAC, and audit requirements.
  • Assess impact of schema changes on Power BI, SSRS, batch interfaces, and downstream applications.
  • Use Python/PowerShell and AI-assisted tools for migration automation, reconciliation, and productivity.
  • Provide technical leadership and communicate migration risks and results to stakeholders.

Skills

Azure SQL
SQL Server
T-SQL
Data Migration
ETL
Data Profiling
Master Data Management
Entity Resolution
Data Quality
CI/CD
Python
PowerShell
RBAC
Data Privacy
Azure Data Factory
SSIS
Azure Storage
Azure Key Vault
DMA
Azure Database Migration Service
DevOps

Tools

SQL Server 2016+
IBM DB2
PostgreSQL
Oracle
Flyway
Liquibase
GitHub Actions
Azure DevOps

Job description

JOB DESCRIPTION

Job Title: Lead Database Engineer

Job Summary

We are looking for a Lead Database Engineer with strong experience in database migration, consolidation, and data engineering. The role will lead the migration of multiple legacy databases into a unified target schema while ensuring data integrity, reconciliation, performance, and production readiness.

Key Responsibilities
  • Lead end-to-end migration and consolidation of multiple legacy databases into a single target schema.
  • Perform data profiling, source-to-target mapping, transformation, and master data/entity resolution.
  • Develop and execute full-load, incremental, delta, and CDC-based migration processes.
  • Design reconciliation processes covering row counts, checksums, control totals, financial balancing, and exception reporting.
  • Develop migration runbooks, rollback plans, rehearsal strategies, and production cutover plans.
  • Execute migrations across DEV, QA, UAT, and Production environments.
  • Develop and optimize complex T-SQL, stored procedures, functions, triggers, indexes, and queries.
  • Work with SQL Server/MSSQL, IBM DB2, PostgreSQL, and Oracle databases.
  • Utilize Azure SQL, Azure Data Factory, SSIS, Azure Storage, Azure Key Vault, DMA, and Azure Database Migration Service.
  • Implement database CI/CD using SSDT/DACPAC, Flyway/Liquibase, Azure DevOps, or GitHub Actions.
  • Ensure database security, data masking, encryption, RBAC, and audit requirements.
  • Assess the impact of schema changes on Power BI, SSRS, batch interfaces, and downstream applications.
  • Use Python/PowerShell and AI-assisted tools for migration automation, reconciliation, and engineering productivity.
  • Provide technical leadership and communicate migration risks, data issues, and reconciliation results to stakeholders.
Required Skills & Experience
  • 10–12 years of database/data engineering experience with at least 4 end-to-end production data migrations.
  • Expert knowledge of Azure SQL, SQL Server 2016+, T-SQL, database internals, performance tuning, indexing, execution plans, statistics, and partitioning.
  • Mandatory experience consolidating multiple independent databases into a single target schema.
  • Strong experience in ETL, data migration, data reconciliation, master data management, entity resolution, and data quality.
  • Hands-on experience with SQL Server/MSSQL, IBM DB2, PostgreSQL, and Oracle databases.
  • Strong experience with Azure SQL, Azure Data Factory, SSIS, Azure Storage, and Azure Key Vault.
  • Experience with DMA and Azure Database Migration Service is preferred.
  • Experience with database DevOps, CI/CD, schema-as-code, and version control.
  • Strong scripting skills in Python and/or PowerShell.
  • Good understanding of database security, encryption, data masking, RBAC, and data privacy.
  • Strong communication, documentation, troubleshooting, and stakeholder management skills.
  • Practical experience using AI-assisted coding/data tools for SQL, mappings, migration scripts, and documentation.
Good to Have
  • Experience in Insurance, F&I, vehicle service contracts, warranty, claims, billing, or dealer remittance.
  • Experience with multi-tenant data models and complex business rules.
  • Exposure to Azure Synapse, Databricks, or Microsoft Fabric.
  • Experience with Redgate, ApexSQL, dbForge, or similar database comparison tools.
  • Ability to understand Angular/.NET application code and trace data access paths.
  • DP-300 or DP-203 certification mandatory.
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