Overview
On Site
$Competitive
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - start date
Skills
Quality assurance
Microsoft SSRS
Microsoft SQL Server
Root cause analysis
SQL
Physical data model
Data warehouse
Data management
Information design
Data modeling
Data collection
Extract
transform
load
SQL Azure
Data Analysis
Database administration
Database design
Performance tuning
Data storage
Data integrity
RDBMS
Database security
Disaster recovery
Database
MI
Servers
Management
Cloud computing
Design
Data
Extraction
Transformation
Reporting
Utilities
DDL
DCL
Research and development
Distribution
IMPACT
Prototyping
Recovery
Computer hardware
Job Details
Job Title: Database Administrator
Location: Lansing, MI
The database environment includes:
Multiple SQL Server instances
Multiple Collection Environments (Development, Quality Assurance/Testing, Pre-Release, and Production)
Numerous SQL Reporting Services Servers
35+ collection databases
100+ analysis databases
This position is the Subject Matter Expert (SME) for the CEPI SLDS data warehouse and requires considerable independent judgment directing and coordinating the appropriate data administration and management methods, practices, procedures and tools, to complete the required assignments. Expertise is required in Microsoft SQL Server database support, and professional knowledge on CEDS standard.
This position is heavily involved with strategic and tactical information design, the analysis of business areas, security, and data modeling to meet data collection needs and the transition of ETL processes from on premise to cloud servers. Responsibility includes the identification, analysis, categorizing, synthesis, design, and productive use of business information. In addition, this position is responsible for enforcing/ensuring that the architectural frameworks are properly implemented and enforced, monitoring and upgrading the server infrastructure that supports the database environment.
Description of work:
Top 3 skills needed: Complex ETL development experience. Azure Database services, SQL Data Modeling/structure
Designs, implements, and continuously expands/maintains data pipelines by performing extraction, transformation, and loading activities. Responsible for data preparation jobs, data analysis and data reporting. Performs technical troubleshooting, root cause analysis and provides technical expertise for ETL jobs. Collaborates with developers. business and other team members to design and deliver correct high-quality data and to provide advice and support.
Responsible for data analysis and database management. Involved in maintenance, enhancement, designing of data dictionaries, physical and logical database models, and performance tuning. Knowledge of the utilities and production tools used for data storage management to support the Application Team. Coordinates physical changes to computer databases; codes, tests, and implements physical database, applying knowledge of data base management system.
Establishes physical database parameters. Uses structured query language (SQL) to define database objects using database definition language (DDL) and control access to database objects using data control language (DCL). Tests and corrects errors and refines changes to database.
Enters SQL to create production data base. Uses database utility programs and 3rd party utilities to monitor database performance, such as distribution of records and amount of available memory. Directs programmers and analysts to make changes to data base management system. Reviews and corrects programs. Answers user questions. Confers with coworkers to determine impact of data base changes on other systems.
Evaluates users' requests for new data elements and systems, incorporates them into the existing shared data environment, and provides technical assistance. Coordinates the use of data to ensure data integrity and control redundancy, loads databases, and reorganizes as needed. Performs data modeling and prototyping. Responsible for the development of ETLs. Performs logical and physical data modeling, designs relational database models, and creates physical data models from logical data models. Performs security recovery procedures.
Executes the procedures necessary to save, retrieve, and recover databases from hardware and software failures within established procedures. Assists with determining, implementing, and enhancing standards on database security and with monitoring agency disaster recovery procedures and systems.
Top Skills/Requirements:
Years of experience: 12 or more years of experience in the field is required.
A bachelor's degree is required
Complex ETL development experience
Database Services
SQL Data Modeling
Location: Lansing, MI
The database environment includes:
Multiple SQL Server instances
Multiple Collection Environments (Development, Quality Assurance/Testing, Pre-Release, and Production)
Numerous SQL Reporting Services Servers
35+ collection databases
100+ analysis databases
This position is the Subject Matter Expert (SME) for the CEPI SLDS data warehouse and requires considerable independent judgment directing and coordinating the appropriate data administration and management methods, practices, procedures and tools, to complete the required assignments. Expertise is required in Microsoft SQL Server database support, and professional knowledge on CEDS standard.
This position is heavily involved with strategic and tactical information design, the analysis of business areas, security, and data modeling to meet data collection needs and the transition of ETL processes from on premise to cloud servers. Responsibility includes the identification, analysis, categorizing, synthesis, design, and productive use of business information. In addition, this position is responsible for enforcing/ensuring that the architectural frameworks are properly implemented and enforced, monitoring and upgrading the server infrastructure that supports the database environment.
Description of work:
Top 3 skills needed: Complex ETL development experience. Azure Database services, SQL Data Modeling/structure
Designs, implements, and continuously expands/maintains data pipelines by performing extraction, transformation, and loading activities. Responsible for data preparation jobs, data analysis and data reporting. Performs technical troubleshooting, root cause analysis and provides technical expertise for ETL jobs. Collaborates with developers. business and other team members to design and deliver correct high-quality data and to provide advice and support.
Responsible for data analysis and database management. Involved in maintenance, enhancement, designing of data dictionaries, physical and logical database models, and performance tuning. Knowledge of the utilities and production tools used for data storage management to support the Application Team. Coordinates physical changes to computer databases; codes, tests, and implements physical database, applying knowledge of data base management system.
Establishes physical database parameters. Uses structured query language (SQL) to define database objects using database definition language (DDL) and control access to database objects using data control language (DCL). Tests and corrects errors and refines changes to database.
Enters SQL to create production data base. Uses database utility programs and 3rd party utilities to monitor database performance, such as distribution of records and amount of available memory. Directs programmers and analysts to make changes to data base management system. Reviews and corrects programs. Answers user questions. Confers with coworkers to determine impact of data base changes on other systems.
Evaluates users' requests for new data elements and systems, incorporates them into the existing shared data environment, and provides technical assistance. Coordinates the use of data to ensure data integrity and control redundancy, loads databases, and reorganizes as needed. Performs data modeling and prototyping. Responsible for the development of ETLs. Performs logical and physical data modeling, designs relational database models, and creates physical data models from logical data models. Performs security recovery procedures.
Executes the procedures necessary to save, retrieve, and recover databases from hardware and software failures within established procedures. Assists with determining, implementing, and enhancing standards on database security and with monitoring agency disaster recovery procedures and systems.
Top Skills/Requirements:
Years of experience: 12 or more years of experience in the field is required.
A bachelor's degree is required
Complex ETL development experience
Database Services
SQL Data Modeling