- Teradata DBA
Physical, Enterprise Level Teradata Database Administration
Performance Monitoring and Tuning
Ensuring Data Quality & Governance
Meta Data & Master Data Management
The qualified candidate will perform database administration. Candidate should possess extensive knowledge of all aspects of Teradata including monitoring and performance tuning.
Duties and Responsibilities:
Performs physical database administration (dba) tasks in Teradata.
Designs and builds simple to complex database structures from data models.
Proactively performs database monitoring and performance tuning tasks.
Provide rotating 24x7 on-call support for Teradata environments as necessary
Identify and provide solutions to performance issues in multiple database environments
Participate in the development and maintenance of high quality data design strategies, guidelines, principles and standards
Promote and maintain positive working relationships with application development teams and business users
Collaborate with other data architects, application development team members and/or DBAs to resolve issues
Communicate data design strategy, guidelines, principles and standards to the development teams
Provide mentoring and education, along with technical guidance and direction to the teams
Participate in quality assurance of conceptual, logical and physical data models
Ensure logical and physical data models support the Enterprise Data Model (EDM) strategy
Education / Experience Requirements:
BS / MS in Computer Science or related field or equivalent combination of education and work experience in the field of Database Administration
Technical / Business Skill:
Three or more year’s total experience as physical DBA in Teradata
Two or more years of experience in database/application performance tuning and monitoring tools.
Experience in database problem identification, problem diagnosis and resolution.
Experience in designing conceptual, logical and physical data models using industry standard tools (e.g. Erwin, Power Designer)
Experience in the normalization process and Entity-Relationship data modeling techniques
Knowledge in using data quality and data governance tools
Knowledge of enterprise data architecture frameworks
Knowledge in a variety of database, ETL, and application concepts, practices and procedures
Knowledge of current trends in data technologies: data services, data virtualization, data integration, Master Data Management, Hadoop/Big Data
Knowledge of Agile development and the Scaled Agile Framework is desirable
Professional / Personal Skills Experience in effective communication at different levels (i.e. junior team members, peers, management, senior management) of the organization
Experience in providing technical data design guidance and direction Ability to build strong relationships across organizations
Ability to demonstrate innovation and creativity when faced with challenging situations
Strong leadership skills Strong problem solving skills Excellent interpersonal skill Exceptional verbal and written communication skills Ability to work with development teams to convey the value of enterprise data modeling, data quality and data governance practices
Ability to work on high performing teams and deliver under pressure situations