Position Summary: The Senior Database Administrator’s role is to lead in the creation and support of our internal databases within our Hadoop environment. The selected individual must have knowledge of complex database concepts in order to provide a sound vision, leadership and strategy as well as actively participate in the design, implementation and subsequent operations.
Recommend, architect, design, operate and maintain a data lake that supports large-scale analytics
Ensure the architecture is optimized for large dataset acquisition, analysis, storage, cleansing, transformation and reclamation
Ensure the architecture adheres to enterprise architecture best-practices that meet and exceed security, manageability, scalability, performance, availability, visibility and flexibility requirements
Provide DBA services to internal and external clients in UNIX, AIX, and Linux environments
Designs, installs, and maintains complex database systems including data modeling, security, performance, documentation, capacity planning, reporting, and tuning
Leads the designs, development and implementation of database backup and recovery procedures to minimize downtime and ensure recoverability.
Collaborate with Product and Project Management, Architecture, Testing, Quality Assurance, Operations, Client Services, and executive management to ensure the integration efforts meet release schedules, goals, and objectives
Integrates major, complex systems through the database system
Develop and execute database migration, change management and configuration management tasks for new releases of products
Provide suggestions on database architecture and API code to support performance and data integrity
Mentor less senior personnel
Requires a four-year degree in Computer Science/Information Technology or equivalent experience
Master’s degree in Business (MBA), Computer Science/Software Engineering or related degree program is preferred
Minimum 5 years of DBA work experience including design, implementation, backup and recovery, monitoring, and tuning databases
Minimum five years of enterprise architecture experience and three years working with enterprise data warehousing and business intelligence technologies and solutions
Experience and detailed knowledge of ‘Big Data’ technologies (e.g. Hadoop, Hive, Spark, Redshift, HBase) and large data sets
Experience with relational DBMSs (e.g. Oracle, SQL Server, MySQL, Postgres).
Understands complex and advanced database concepts
Considers business aspects of problems, and recognizes opportunities for expanding business services.
Must be proactive and preventive in problem solving
Strong analytical and troubleshooting skills
Ability to work independently on multiple tasks
Strong communication and technical skills
Knowledge of relational databases, Structured Query Language (SQL), UNIX, AIX, or Linux operating systems
Knowledge of programming or scripting language (KRON, PL/SQL, C Shell)
Advance Knowledge of programming.
Excellent communication skills
Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results
Extremely knowledgeable of industry standards and trends
Required Technical Skills:
Data modeling, architecture, design and implementation
Data Warehousing, Data Marts, Operational Data Stores
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