HybridDescription:Under the direction of a data architect, this position will conduct data profiling, data analysis, data cleansing, database design, database implementation, data conversion, and data governance for the client data.Typical Experience: 84+ monthsRole Types: Database Analyst, Database ProgrammerExpected Skills: Able to work in a team environment as well as without assistance; can provide input and feedback to others; able to manage highly complex work efforts; may have advanced education; may have extensive industry experience.Description (including, but not limited to):1. Data analysis and database management2. Designing of data dictionaries, physical and logical database models, and performance tuning3. Creation of requirements for database, database schema, data maps, ERDs, application objects (i.e., tables, indexes, views, etc.)4. Creation of data rules to identify areas for data cleansing5. Conducting data profiling, data analysis, data cleansing, database design, database implementation, data conversion, and data governance for the client dataSkill - Required / Desired - Amount of ExperienceUnderstand data structures and schemas, and implementing appropriate indexes - Required - 3 YearsAble to create logical and physical models of data to represent relationships and ensure data integrity - Required - 5 YearsWorking knowledge of DB2 and SQL Server database management systems (DBMS) - Required - 3 YearsUnderstanding of the process of extracting data from various sources, transforming it, and loading it into a database - Required - 5 YearsUse of at least one data cleansing tool - Required - 2 YearsAble to create and execute test cases - Required - 5 YearsAble to identify and resolve issues within the data cleansing process - Highly desired - 3 YearsAble to clearly communicate technical information to both technical and non-technical audiences - Highly desired - 3 YearsMust meet deadlines and manage multiple streams of work - Required - 5 YearsAble to dissect complex problems and derive insights from large datasets - Highly desired - 3 YearsNotes:Hybrid VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status
Description:Under the direction of a data architect, this position will conduct data profiling, data analysis, data cleansing, database design, database implementation, data conversion, and data governance for the client data.Typical Experience: 84+ monthsRole Types: Database Analyst, Database ProgrammerExpected Skills: Able to work in a team environment as well as without assistance; can provide input and feedback to others; able to manage highly complex work efforts; may have advanced education; may have extensive industry experience.Description (including, but not limited to):1. Data analysis and database management2. Designing of data dictionaries, physical and logical database models, and performance tuning3. Creation of requirements for database, database schema, data maps, ERDs, application objects (i.e., tables, indexes, views, etc.)4. Creation of data rules to identify areas for data cleansing5. Conducting data profiling, data analysis, data cleansing, database design, database implementation, data conversion, and data governance for the client dataSkill - Required / Desired - Amount of ExperienceUnderstand data structures and schemas, and implementing appropriate indexes - Required - 3 YearsAble to create logical and physical models of data to represent relationships and ensure data integrity - Required - 5 YearsWorking knowledge of DB2 and SQL Server database management systems (DBMS) - Required - 3 YearsUnderstanding of the process of extracting data from various sources, transforming it, and loading it into a database - Required - 5 YearsUse of at least one data cleansing tool - Required - 2 YearsAble to create and execute test cases - Required - 5 YearsAble to identify and resolve issues within the data cleansing process - Highly desired - 3 YearsAble to clearly communicate technical information to both technical and non-technical audiences - Highly desired - 3 YearsMust meet deadlines and manage multiple streams of work - Required - 5 YearsAble to dissect complex problems and derive insights from large datasets - Highly desired - 3 Years
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Hybrid
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