Data Engineer – IBM DataStage, DB2, Microsoft SQL Server, SSIS

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October 9

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OZ

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Enterprise • Artificial Intelligence • SaaS

OZ is a premier digital consulting firm and trusted Microsoft solutions partner located in Florida. With over 25 years of experience, OZ specializes in delivering deep technical expertise and industry knowledge through a global delivery model. The company offers a range of services, including Azure solutions, Power Platform, artificial intelligence, enterprise integration, intelligent automation, data and analytics, and app innovation. OZ serves a diverse range of industries, such as travel and hospitality, healthcare insurance, technology, public sector, and retail, and is known for its tailor-made, Microsoft-powered solutions to address unique business challenges. OZ also provides an on-demand talent studio to access certified IT professionals. It has built a reputation as a reliable partner for over 370 companies, offering services that enhance business agility and innovation.

201 - 500 employees

🏢 Enterprise

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• Develop and maintain DB2 and SQL Server code. • Analyze data and solve new and existing business issues. • Reviewing query performance and optimizing code. • Provide production level support. • Fully document all processes that are being created.

🎯 Requirements

• Upper intermediate English level, good verbal and written communications skills. • Intermediate to high level experience with SQL. • Intermediate to high level experience with ETL using IBM DataStage and SSIS • Experience and background in one of the following Data bases: MS SQL Server, DB2, Oracle. Working knowledge of Hadoop/Data Lakes a plus. • Team player with excellent communication and interpersonal skills. • Able to effectively follow best practices, development guidelines and standards. • Ability to understand complex technical concepts. • Excellent analytical and problem-solving skills. • Attention to quality and detail. • Motivated, enthusiastic individual with ability to work on own initiative. • Knowledge in one of the following domains is a plus: Prescriptive and Predictive Analytics, Artificial Intelligence, Machine Learning, Data Science, Information Management, Big Data or IoT. • Qualifications: • Bachelor’s degree in information science or related field is a plus.