Senior Data Migration Engineer
New
G
GDITData Engineering
United StatesFull-TimeSenior
Salary111,155 - 150,385 USD per year
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Job Details
- Experience
- 5 + years
- Required Skills
- AWSPythonSQLBashCloud ComputingETLCI/CDTerraformdbt
Requirements
- MA/MS degree with 5+ years or BS/BA degree with 7+ years of general information systems experience.
- 5+ years of specialized experience in data engineering.
- Strong background in ETL/ELT and migration (Informatica, Talend, AWS DMS, ADF).
- Skilled in Python, Bash, SQL, and automation for migration scripts.
- Expertise in AWS data migration services, cloud-native data platforms, and hybrid cloud environments.
- Strong SQL performance tuning, query optimization, indexing, partitioning, and execution-plan analysis.
- Proficient with Terraform, dbt, IaC, and automation frameworks.
- Experienced with CI/CD, GitOps, DevSecOps, and enterprise build/release pipelines.
- Experienced with containerized application workflows and cloud platform operations.
- Familiarity with federal security, compliance, and governance frameworks (FedRAMP, NIST, JISF).
Responsibilities
- Plan, coordinate, and oversee enterprise data migration, conversion, and archival efforts.
- Develop migration strategies, schedules, dependencies, and execution procedures.
- Build and maintain migration scripts, SQL, and ETL/ELT pipelines for legacy-to-cloud data transfers.
- Execute extraction, transformation, loading, and post-load validation activities.
- Perform data profiling, cleansing, mapping, and transformation; define source-to-target mappings.
- Validate migrated data through reconciliation, completeness checks, and QA testing.
- Manage cutover activities, including pre-checks, execution, validation, and sign-off.
- Automate data reconciliation and validation processes.
- Support migration testing, mock runs, rehearsals, cutovers, and rollback procedures.
- Design and implement data archival processes aligned with retention and governance standards.
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