This role involves developing and building AWS Data Lake formations, contributing to design, development, and coding. The position focuses on modernizing legacy applications by refactoring and migrating them to the cloud. The developer will utilize AWS services for building enterprise-level Data Lakes, including data ingestion, storage, processing, and transformation. Experience with AWS Machine Learning and customizing AWS ETL logic using Python is essential. The role also requires knowledge of security and data governance, including permissions, encryption, auditing, and compliance. Proficiency in Python scripting and object-oriented languages is expected. Experience with transactional or RDBMS databases, DevOps, DevSecOps, IaC, automation, CI/CD pipelines, monitoring, and logging is also required. Familiarity with ETL tools and data analytics platforms like PowerBI or AWS QuickSight is a plus. The position operates within Agile/Scrum Framework environments.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed