Data Engineer/Scientist
samprasoftChicago (IL)
Data Engineer/Scientist
Posted 3 days ago
samprasoftChicago (IL)
SENIORITY
Senior
About the role
Data Engineer • 3 years of experience with programming languages Python, Scala, Bash scripting, and object-oriented programming concepts. • 1 years of experience with container-based platforms, including OpenShift, Kubernetes, and Docker. • 3 years of experience with RDBMS, including Teradata SQL and Teradata BTEQ. Also preferred ORACLE, and MySQL. • 3 years of experience with data modeling concepts and warehouse schemas. • 1 years of experience with NOSQL databases: MongoDB. • 3 years of experience with Hadoop ecosystem. • 1 years of hands-on experience with programming API and RESTful web services. • 3 years of experience with cloud environments, including Amazon Web Services or Google Cloud. • 3 years of experience with developer tools including BitBucket, Git and Bamboo. Also preferred Jenkins. • 2 years experience with job schedulers such as Airflow or Control-m. • 3 years of experience with Agile. Primary duties may include, but are not limited to: • Design and develop ETL data pipelines for AI/ML models, applications, and supporting tools that enable data scientists to create algorithms/models in the big data ecosystem. • Design, implement, and deliver insights data pipeline supporting analytic products across the organization. • Integrate data from different sources. • Develop analytics platform components and/or processing components required to provide business solutions. • Engage with business stakeholders to design and own end-to-end solutions to empower data-driven decision-making. • Leverage data, technology, and quantitative methods to build products that inject analytics and insights into the daily workflow of teams. • Define application scope and objectives, including impact on interfaces. • Ensure appropriate application testing is completed and meets test plan requirements. • Coordinate integration actions to ensure successful implementation. • Mentor team members. Administer analytical projects and pilots for tool upgrades. • Interpret big data/analytic projects that integrate large volumes of data, perform analysis, and recommend actionable insights.
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