AWS Data Engineer (Python, Informatica IDQ, Oracle/Postgres, Cloud ETL) -13 years of exp
ACS -
Albany, NY, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Cloud Computing
Databases
Data Integration
Extract Transform Load (ETL)
Data Transformation
Amazon DynamoDB
Python (Programming Language)
PostgreSQL
Linux System Administration
MongoDB
NoSQL
+5 more
Oracle (Applications)
Web Applications
Data Processing
Information Technology
AWS Data Analytics
Requirements
- Demonstrated experience designing, developing, and implementing scalable, cloud-based web applications utilizing Amazon Web Services (AWS).
- Proven experience analyzing complex business rules, evaluating workflow processes, and driving business process re-engineering initiatives to improve operational efficiency.
- Extensive experience performing data processing, transformation, and analytical tasks using Python within Linux-based environments.
- Hands-on experience developing and implementing data transformations using Informatica Data Quality (IDQ) or comparable ETL and data integration platforms.
- Strong experience working with both relational and NoSQL database technologies, including Oracle, PostgreSQL, MongoDB, DynamoDB, and similar platforms, managing and processing high-volume datasets exceeding 10 million records.
- Experience producing comprehensive technical documentation, including system design specifications, technical architecture, data flow diagrams, implementation guides, and operational documentation.
- Bachelor’s degree or higher in Computer Science, Information Technology, or a closely related field from an accredited college or university.
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