CBTS
Senior US IT Recruiter @ CBTS | Master’s in HR and Systems
Job Description: Must Have PowerBI Snowflake SQL Nice To Have Python and/or SAS Notes: Data Engineer with a few years experience with SQL, DBT, Snowflake, and PowerBI. Cincinnati in person. Primary Responsibilities: Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals. Recommend different ways to constantly improve data reliability and quality. Qualifications: Technical Degree or related work experience Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.) Experience programming and/or architecting a back end language (Java, J2EE, etc) Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology, Consulting, and Business Development Industries
Financial Services and Banking Referrals increase your chances of interviewing at CBTS by 2x
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Job Description: Must Have PowerBI Snowflake SQL Nice To Have Python and/or SAS Notes: Data Engineer with a few years experience with SQL, DBT, Snowflake, and PowerBI. Cincinnati in person. Primary Responsibilities: Design, construct, install, test and maintain data management systems. Build high-performance algorithms, predictive models, and prototypes. Ensure that all systems meet the business/company requirements as well as industry practices. Integrate up-and-coming data management and software engineering technologies into existing data structures. Develop set processes for data mining, data modeling, and data production. Create custom software components and analytics applications. Research new uses for existing data. Employ an array of technological languages and tools to connect systems together. Collaborate with members of your team (eg, data architects, the IT team, data scientists) on the project s goals. Recommend different ways to constantly improve data reliability and quality. Qualifications: Technical Degree or related work experience Experience with non-relational & relational databases (SQL, MySQL, NoSQL, Hadoop, MongoDB, etc.) Experience programming and/or architecting a back end language (Java, J2EE, etc) Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology, Consulting, and Business Development Industries
Financial Services and Banking Referrals increase your chances of interviewing at CBTS by 2x
#J-18808-Ljbffr