À propos
100% Remote (U.S. based candidates working Central Time Zone hours)
Engagement
Long-Term Contract
Client
Fortune 500 Financial Services Organization
About the Opportunity
Our client, a Fortune 500 financial services leader, is looking to bring on an experienced Senior Cloud Data Engineer to support a large-scale cloud and ETL modernization effort. This team is in the midst of a cloud journey and is focused on building modern, scalable, cloud native data solutions.
Key Responsibilities Design, build, and support cloud native ETL pipelines leveraging AWS services.
Develop and enhance data ingestion and transformation workflows using AWS Lambda, S3, and Python.
Collaborate using Git to manage code, versioning, and deployments across the team.
Partner closely with data architects, analysts, and stakeholders to ensure data accuracy, performance, and reliability.
Continuously improve data pipelines for scalability, efficiency, and maintainability in a cloud environment.
Identify, troubleshoot, and resolve data pipeline issues to keep data flowing smoothly.
Required Skills and Experience Core Technical Skills
Strong hands‑on experience with AWS, specifically Lambda and S3.
Advanced Python skills for data processing and transformation.
Proven background in designing and implementing ETL pipelines in the cloud.
Additional Requirements
Must be based in the United States.
Ability to work Central Time Zone business hours.
Seniority Level Mid‑Senior level
Employment Type Contract
Job Function Information Technology
Industries Business Consulting and Services
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Compétences linguistiques
- English
Avis aux utilisateurs
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