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Chicago, Illinois Resource 1
Responsibilities Design, develop, and unit test new or existing ETL Data Integration solutions to meet business requirements. Daily production support for Enterprise Data Warehouse including ETLELT jobs (SSIS). Design and develop data integrationengineering workflows on big data technologies and platforms Develop data streams using Apache Kafka. Develop workflows in the cloud environment using Cloud base architecture (Azure or AWS). Develop dataflows and processes for the Data Warehouse using SQL (SQL Server). Develop data integration workflows using Web Services in XML, JSON, flat file format SOAP. Create and maintain optimal data pipeline architecture. Requirements Bachelorrsquos degree in Computer Science, Engineering, or related field from an accredited university Proven experience in a data integration role with expert-level SQL and SSIS Working knowledge of ETL change detection solutions such as Change Data Capture (CDC) Experience using Apache Kafka Proven experience integrating enterprise software using ETL modules data engineering tools Knowledge of data architecture, structures and principles with the ability to critique data and system designs Ability to integrate data from Web Services in XML, JSON, flat file format, SOAP Pluses Experience with Big Data technology Knowledge in DevOps practices and tools