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Data Engineer
- St Louis, Missouri, United States
- St Louis, Missouri, United States
Über
Key Responsibilities
Design and develop scalable, efficient data architectures to support the migration process
Create data models and schemas that align with both source and target systems
Develop and maintain robust data pipelines for data generation, collection, and processing
Implement real-time and batch processing pipelines as required by the migration strategy
Design and implement ETL processes to migrate data between source and target systems
Develop scripts and workflows for data extraction, transformation, and loading
Develop and maintain data cleansing routines to address data inconsistencies
Create monitoring systems to track data quality metrics throughout the migration
Collaborate with the migration team to plan and execute data migration strategies
Provide expertise on data-related aspects of the migration process
Troubleshoot and resolve data-related issues during migration
Optimize data processing and storage for improved performance in cloud environments
Monitor and tune data pipelines for efficiency
Implement data security measures to protect sensitive information during migration
Ensure compliance with data protection regulations and organizational policies
Develop and maintain data access controls and audit trails
Create and maintain comprehensive documentation for data architectures and processes
Work closely with data analysts, cloud engineers, and application developers
Integrate data solutions with other components of the migrated applications
Participate in Agile ceremonies (Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives)
Requirements
Bachelor's degree
Years of Experience: 5-8
Project-specific Requirements
Active Secret clearance
No dual citizenship
Based in St. Louis; relocation or weekly M‑F travel to St. Louis
Aerospace & Defense or U.S. Federal manufacturing/MRO project experience
• iQuasar, LLC is proud to be an Equal Employment Opportunity Employer. We do not discriminate based on race, religion, color, national origin, political affiliation, sex, sexual orientation, gender identity, age, marital/parental /veteran status, disability, genetic information, membership in an employee organization, retaliation, military service, other non‑merit factors, or any other applicable characteristics protected by law.
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Sprachkenntnisse
- English
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