FULLY REMOTE ScolerTec is seeking multiple Senior Data Migration Engineers – AWS Cloud Migration to plan, design, and execute large-scale legacy-to-cloud data migrations in modern AWS-based environments. This is a hands-on engineering role focused on cloud migration architecture, migration automation, ETL/ELT, source-to-target mapping, data validation and reconciliation, CDC/incremental migration, cutover execution, rollback planning, and post-migration stabilization. The ideal candidate has strong experience migrating enterprise databases and data platforms into AWS using technologies such as AWS DMS, AWS SCT, S3, RDS/Aurora, Redshift, Glue, Python, SQL, Terraform, and modern cloud data platforms .

Key Responsibilities

Plan and execute enterprise data migration, conversion, transformation, and archival activities. Design migration strategies, migration waves, schedules, dependencies, and execution procedures. Build and maintain migration scripts, SQL, and ETL/ELT pipelines for legacy-to-cloud data transfers. Perform source data profiling, cleansing, transformation, and source-to-target mapping. Implement full-load and incremental/CDC migration approaches where appropriate. Perform automated reconciliation, completeness checks, validation, and post-load QA. Support migration testing, mock migrations, rehearsals, cutover preparation, production cutover, rollback, and stabilization. Troubleshoot migration failures, discrepancies, data-quality issues, and performance bottlenecks. Optimize migration jobs for high-volume datasets, throughput, scalability, and minimal downtime. Develop and maintain migration runbooks, mapping documents, issue logs, execution reports, and operational procedures. Support migration and integration across Oracle, SQL Server, PostgreSQL, and other enterprise data platforms. Work with AWS services and cloud-native data platforms such as RDS/Aurora, Redshift, S3, Glue, Databricks, or comparable technologies. Automate provisioning, migration workflows, data loading, and monitoring using Terraform, Python, SQL, dbt, or similar tools. Integrate migration solutions with CI/CD and enterprise DevSecOps processes. Support IAM/RBAC, security, privacy, retention, classification, and governance requirements. Collaborate with DBAs, architects, data engineers, platform engineers, governance teams, QA, and business stakeholders. Support disaster recovery, failover, cloud performance, and post-migration operational readiness. Qualifications 5+ years of specialized experience in enterprise data migration, ETL/ELT, data engineering, or cloud modernization. Strong hands-on experience with legacy-to-AWS data migration . Hands-on experience with AWS DMS, AWS SCT, or comparable cloud migration technologies . Experience migrating enterprise databases such as Oracle, SQL Server, DB2, or PostgreSQL to AWS cloud platforms. Experience with full-load and CDC/incremental migration patterns. Strong experience with source-to-target mapping, data profiling, validation, reconciliation, and completeness testing. Experience participating in mock migrations, cutover planning/execution, rollback planning, and post-migration stabilization. Strong Python and SQL skills. Strong ETL/ELT and data-transformation experience. Experience with AWS services such as S3, RDS/Aurora, Redshift, Glue, Lambda, or Step Functions. Experience with cloud data platforms such as Databricks, Snowflake, or Redshift preferred. Experience with Terraform or other Infrastructure as Code tools. Experience with CI/CD, Git, DevSecOps, or enterprise release pipelines. Strong SQL performance tuning, indexing, partitioning, and query optimization skills. Experience supporting large-scale or high-volume migrations. Federal, public-sector, regulated-industry, or security-sensitive environment experience preferred. Preferred Certifications AWS Certified Data Engineer AWS Certified Solutions Architect – Professional AWS Certified Data Analytics – Specialty Databricks Certified Data Engineer Professional Snowflake SnowPro Certified Data Management Professional (CDMP)