Job Title: Data Migration Specialist
Job Summary:
We are looking for a Mid-Level Data Migration Specialist to design, implement, and optimize data migration processes for enterprise-level applications. The ideal candidate should have strong expertise in SQL, ETL processes, data mapping, cloud database migration, and automation. This role involves leading data migration projects, optimizing performance, ensuring data integrity, and collaborating with cross-functional teams to support seamless data transitions across platforms.
Key Responsibilities:
- Plan, develop, and execute data migration strategies for legacy and modern database systems
- Extract, transform, and load (ETL) large datasets using data migration tools and automation scripts
- Optimize SQL queries, indexing, and partitioning strategies for improved migration performance
- Ensure data integrity, consistency, and security during migration processes
- Develop automated migration pipelines and workflows using scripting and orchestration tools
- Monitor, troubleshoot, and resolve data migration issues to minimize downtime and data loss
- Collaborate with database administrators, data engineers, and business analysts to understand data requirements
- Support cloud-based data migrations (AWS RDS, Google BigQuery, Snowflake, Azure SQL)
- Implement data validation and reconciliation processes post-migration
- Ensure compliance with industry regulations (GDPR, HIPAA, PCI-DSS) for secure data handling
- Document data migration strategies, issues, and resolutions for knowledge sharing and future improvements
Skills and Knowledge Required:
- Strong SQL expertise and experience with relational databases (MySQL, PostgreSQL, SQL Server, Oracle)
- Proficiency in ETL tools (Talend, Apache NiFi, SSIS, Informatica, AWS Glue)
- Experience with cloud-based databases (AWS RDS, Google Cloud SQL, Azure SQL, Snowflake)
- Knowledge of data modeling, normalization, and indexing techniques
- Hands-on experience with scripting languages (Python, Bash, PowerShell) for automation
- Understanding of database replication, clustering, and data warehousing concepts
- Familiarity with DevOps and CI/CD practices for automating data migration processes
- Experience with data governance, compliance, and security best practices
- Ability to troubleshoot data migration issues, optimize processes, and improve data quality
Educational Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or a related field
- Certifications in SQL, ETL, Cloud Databases, or Data Migration Tools are a plus
Experience:
- 3-5 years of hands-on experience in data migration, ETL development, and database optimization
- Experience in handling large-scale database migrations and cloud transitions
Key Focus Areas:
- Large-Scale Data Extraction, Transformation & Loading (ETL)
- Query Optimization & Performance Tuning
- Cloud-Based Data Migration Strategies
- Data Governance, Compliance & Security
Tools and Technologies:
- Databases: MySQL, PostgreSQL, Microsoft SQL Server, Oracle
- ETL & Data Migration Tools: Talend, Apache NiFi, Informatica, SSIS, AWS Glue
- Cloud Databases: AWS RDS, Google BigQuery, Snowflake, Azure Synapse
- Query Languages: SQL, PL/SQL, T-SQL
- Automation & Scripting: Python, Bash, PowerShell
- Version Control & DevOps: Git, Terraform, Kubernetes, Docker
- Monitoring & Data Quality: SQL Profiler, Data Validation Tools, Power BI, Tableau
Other Requirements:
- Ability to lead and manage data migration projects
- Strong problem-solving and analytical skills to troubleshoot and optimize migration workflows
- Excellent communication skills to collaborate with technical and business teams
- Passion for database optimization, cloud computing, and automated data transformation