Data Migration Engineer
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Job description
Seeking a Data Migration Engineer to support enterprise data modernization initiatives involving large-scale migration of legacy systems into modern cloud platforms. This role will focus on one-time and phased mass data migration efforts, ensuring zero data loss, strict adherence to data mapping rules, and seamless production cutovers.
Requirements
- Strong hands-on Data Migration experience is mandatory
- Experience with enterprise-scale legacy system migrations preferred
- AWS and Azure cloud migration expertise highly preferred
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Looking for candidates with extensive ETL/ELT pipeline development and cutover execution experience, The ideal candidate will possess deep expertise in ETL/ELT development, data engineering, cloud migration, Oracle databases, AWS, Azure, and enterprise data quality practices while working closely with Business Analysts, Architects, and cross-functional Agile teams. Required:
- 5+ years of Data Engineering and ETL/ELT development experience
- Large-scale Data Migration experience from legacy relational databases
- Advanced SQL expertise
- Strong Python programming experience
- Oracle Database experience
- AWS Database Migration Service (AWS DMS)
- Databricks experience
- AWS RDS experience
- Azure Data Lake Storage Gen2 (ADLS Gen2)
- ETL/ELT Pipeline Development
- Data Cleansing, Standardization, and Validation
- Data Modeling and Database Design
- Data Reconciliation and Cutover Planning
- IAM, RBAC, Microsoft Entra ID, and AWS KMS security implementation
- Strong troubleshooting and problem-solving skills
Skills:
- AWS Certified Data Engineer Associate
- Microsoft Certified Azure Data Engineer Associate
- SharePoint data migration experience
- Cloud Data Platform modernization projects
- Enterprise Data Governance experience
- Agile/Scrum project experience
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Experience supporting financial or international development organizations
- Bachelorās or Masterās Degree in Computer Science, Data Engineering, Information Technology, or related quantitative field
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