Data Engineer
AI Summary
Designs, builds, and optimizes large-scale ETL/ELT pipelines for migrating structured and unstructured datasets into cloud environments, ensuring reliability, security, and compliance.
About this role
Description of Task to be Performed:
AnaVation is seeking a Senior Data Engineer to join our growing Huntsville, Alabama work program. The selected candidate provides support large scale data engineering and migration activities for a major federal modernization program. This role is responsible for designing, developing, optimizing, and operating data pipelines supporting petabyte scale migration, transformation, and storage of structured and unstructured datasets. The Senior Data Engineer ensures data flows are reliable, repeatable, secure, and aligned to architectural standards required for transferring legacy datasets into modern cloud environments.
Specific duties and responsibilities include:
- Design, build, and optimize scalable ETL/ELT pipelines for ingestion, transformation, and migration of large, multi-source datasets.
- Develop data models, schemas, mappings, and integration structures supporting legacy-to-cloud migration.
- Improve pipeline automation, performance, throughput, reliability, and fault tolerance.
- Lead data cleansing, normalization, enrichment, validation, and root-cause analysis for data quality issues.
- Partner with QA, Cloud, DevSecOps, Migration, and development teams to integrate and validate data workflows.
- Support AWS-based data engineering and ensure compliance with security, logging, auditing, and data-handling requirements.
- Mentor data engineers and participate in technical reviews, sprint activities, architecture discussions, and migration planning.
- Maintain pipeline diagrams, mapping specifications, data dictionaries, and other technical documentation.
- Track migration progress, pipeline performance, data quality, risks, and blockers, and support timely resolution.
Required Qualifications:
Preferred Qualifications:
Skills
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