Data Migration Development Lead _ AY
Central Business Solutions Inc
St. Louis, United States
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Amazon S3
Code Review
Continuous Integration
Information Engineering
Data Governance
Extract Transform Load (ETL)
Data Migration
Data Mining
Relational Databases
Python (Programming Language)
Performance Tuning
+9 more
SQL Databases
Software Technical Review
AWS Cdk
State Machines
Cloudformation
Pyspark
AWS Glue
Functional Programming
Terraform
Job description
- Lead end-to-end data migration design, development, and implementation.
- Build scalable ETL/ELT and migration frameworks using AWS services.
- Design data extraction, transformation, cleansing, validation, loading, and reconciliation processes.
- Develop high-volume migration pipelines using AWS Glue, S3, Lambda, Step Functions, DMS, Redshift, and RDS/Aurora.
- Implement automated data quality, audit, reconciliation, and monitoring controls.
- Support multiple migration cycles including testing, mock conversions, and production cutovers.
- Develop migration runbooks, restart/recovery procedures, and operational controls.
- Establish CI/CD pipelines and Infrastructure as Code using Terraform, CloudFormation, or AWS CDK.
- Lead code reviews, technical design reviews, and mentor migration developers.
- Collaborate with architects, business stakeholders, and application teams to ensure successful migration outcomes.
Requirements
- 8+ years of experience in data engineering, ETL/ELT, or data migration.
- 3+ years of experience leading technical teams or migration workstreams.
- Strong expertise in AWS services, Python, SQL, and PySpark.
- Experience with data quality frameworks, reconciliation, and large-scale production migrations.
- Strong knowledge of relational databases, data modeling, and performance optimization.
- Experience in Agile delivery environments with strong troubleshooting and analytical skills.
Success Measures
- Accurate and complete data migration with minimal production defects.
- Successful cutover execution within planned timelines.
- Automated reconciliation, auditability, scalability, and reusability of migration frameworks.
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