Responsibilities
Design and implement end‑to‑end data migration strategies from legacy systems to target platforms (cloud/on‑prem).
Analyze source systems and define data mapping, transformation, and validation rules.
Develop and maintain ETL/ELT pipelines using appropriate tools and scripts.
Perform data profiling, cleansing, and quality checks before and after migration.
Execute migrations including mock runs, dry runs, cutover, and post‑migration support.
Identify and resolve data issues, performance bottlenecks, and migration defects.
Collaborate with business analysts, architects, QA teams, and stakeholders to ensure functional alignment.
Ensure compliance with data governance, security, and regulatory standards.
Prepare migration documentation, runbooks, and knowledge transfer materials.
Responsibilities
Design and implement end‑to‑end data migration strategies from legacy systems to target platforms (cloud/on‑prem).
Analyze source systems and define data mapping, transformation, and validation rules.
Develop and maintain ETL/ELT pipelines using appropriate tools and scripts.
Perform data profiling, cleansing, and quality checks before and after migration.
Execute migrations including mock runs, dry runs, cutover, and post‑migration support.
Identify and resolve data issues, performance bottlenecks, and migration defects.
Collaborate with business analysts, architects, QA teams, and stakeholders to ensure functional alignment.
Ensure compliance with data governance, security, and regulatory standards.
Prepare migration documentation, runbooks, and knowledge transfer materials.
Qualifications
Technical Skills
Strong experience with databases: Oracle, SQL Server, MySQL, PostgreSQL, or similar
Proficiency in SQL and data transformation logic
Hands‑on experience with ETL tools (Informatica, Talend, DataStage, SSIS, etc.)
Experience with cloud platforms (Azure, AWS, or GCP) and cloud‑native data services
Scripting experience in Python, Shell, or PowerShell
Understanding of data models, schemas, and normalization
Knowledge of data reconciliation, validation, and audit techniques
Migration Experience
Legacy‑to‑modern or on‑prem to cloud data migrations
Large dataset migrations with high availability and minimal downtime
Familiarity with migration frameworks and best practices
Preferred Qualifications
Experience migrating data to Data Warehouses / Data Lakes
Knowledge of CI/CD pipelines for data workflows
Exposure to DevOps or DataOps practices
Experience working in Agile/Scrum environments
Certification in cloud platforms or data engineering is a plus