Cloud Data Engineer OH local only at Cincinnati, Ohio, USA |
Email: [email protected] |
Cloud Data Engineer Duration: 12+ Months Contract Role Location: Cincinnati, OH (can be hybrid) (preferred local candidate) seeking a Cloud Data Engineer to join our team. This full-time contract-to-hire position is with an industry-leading data analytics firm interested in full-time flex/remote consultants. The ideal candidates will have the required skills listed below and will be eligible and open to being hired by the data firm at the end of the project's duration. This position will work alongside an existing team and leverages enterprise-level technologies and processes. Requirements Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM) 5+ years proven ability of professional Data Development experience 3+ years proven ability to develop with Azure or HDFS and SQL 2+ years of experience in Azure Data Factory and/or Azure Databricks Experience in working with large-scale data sets and distributed systems Full understanding of ETL concepts and Data Warehousing concepts Exposure to version control software (Git, GitHub SaaS) Strong understanding of Agile Principles (Scrum) Desirable Skills Proficient with Relational Data Modeling Understanding of Data Mesh Principles Experience with CI/CD - Continuous Integration/Continuous Delivery Experience with Python Library Development Experience with Structured Streaming (Spark or otherwise) Experience with Kafka and/or Azure Event Hub Experience with Github SaaS / Github Actions Experience with Snowflake Exposure to Service Oriented Architecture Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.) Typical Duties Design and develop Azure solutions Implement automated unit and integration testing Collaborate with architecture and lead engineers to ensure consistent development practices Participate in retrospective reviews Participate in the estimation process for new work and releases Collaborate with other engineers to solve and bring new perspectives to complex problems Drive improvements in data engineering practices, procedures, and ways of working Embrace new technologies and an ever-changing environment Keywords: continuous integration continuous deployment business intelligence golang Ohio |
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Wed Jul 26 19:57:00 UTC 2023 |