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DATA ENGINEER

Salary undisclosed

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* Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline. * Ensure systems meet business requirements and industry practices. * Build high-performance algorithms, prototypes, predictive models, and proof of concepts. * Research opportunities for data acquisition and new uses for existing data. * Develop data set processes for data modeling, mining and production. * Integrate new data management technologies and software engineering tools into existing structures. * Create custom software components and analytics applications. * Install and update disaster recovery procedures. * Collaborate with data architects, modelers, and IT team members on project goals. * Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects. Qualifications: * Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience. * Proven 2+ years of experience as a Data Engineer or similar role. * Experience with big data tools: Hive, Hadoop, Spark, Airflow. Good to have: Kafka, Nifi * Expert level SQL skills for data manipulation (DML) and validation (DB2). * Experience with data pipeline and workflow management tools. * Experience with object-oriented/object function scripting languages: Python, Java, Go lang etc. * Strong problem solving and analytical skills. * Excellent verbal communication skills. * Good interpersonal skills. * Ability to provide technical leadership for the team. Experience in Datahub is preferred