at Saks Technologies Inc. in Oak Brook, Illinois, United States
Job Description
Build robust and scalable ETL processes to support data integration and transformation. Build robust technical solutions. Collaborate with cross-functional teams including business analysts, QA and infrastructure teams to develop robust ETL solutions. Develop and maintain scalable ETL workflows using ab initio to extract, transform, and load data from various source systems to enterprise data warehouses. Design and implement highly available and low latency application with Peta bytes of data using Abinitio web services. Design and implement ingestion framework to consume batch and real-time data using Kafka, solace and Abinitio queues. Write and optimize c & java code to interact with aerospike database in distributed environment. Write and optimize SQL queries for data validation, transformation logic, and backend support for ETL pipelines. Work on Unix/Linux environments to schedule batch jobs, create shell scripts, and manage file operations for ETL automation. Telecommuting is available. Position requires unanticipated travel to client sites throughout the U.S. as needed.
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