CBTS
Contract
Job Summary Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.
Must Have Skills
5+ years of DataStage experience
5+ years of ETL experience
5+ years of SQL experience
5+ years of Unix/Linux scripting experience
At least 5 years of experience working with relational and non-relational databases (e.g., SQL, Snowflake, DB2, MongoDB).
Business Intelligence - Data Engineering
Cloud Snowflake Database
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
Job Function Information Technology
Industries IT Services and IT Consulting
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Job Summary Handle the design and construction of scalable management systems, ensure that all data systems meet company requirements, and also research new uses for data acquisition. Required to know and understand the ins and outs of the industry such as data mining practices, algorithms, and how data can be used.
Must Have Skills
5+ years of DataStage experience
5+ years of ETL experience
5+ years of SQL experience
5+ years of Unix/Linux scripting experience
At least 5 years of experience working with relational and non-relational databases (e.g., SQL, Snowflake, DB2, MongoDB).
Business Intelligence - Data Engineering
Cloud Snowflake Database
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
Job Function Information Technology
Industries IT Services and IT Consulting
#J-18808-Ljbffr