Senior Platform Engineer supporting Fiserv's Global Kafka Event Streaming Services. Designing, deploying, and managing Kafka and Flink clusters for highly scalable infrastructure.
About the role
- Senior Data & Platform Support Engineer supporting Oracle databases at the Federal Reserve Bank. Collaborating with teams to ensure operability of payment systems and enhance business outcomes.
Responsibilities
- Help administer and support Oracle databases with other DBAs within the operations organization
- Collaborate with initiative and project owners to provide expert advice and support to enhance business outcomes
- Oversee the day-to-day operability of our nation’s payment systems
- Perform research activities with a focus on complex data warehousing systems, automated ETL/ELT processes, data architecture, enterprise information systems, and project enhancements with Bank and System-wide impact
- Optimize data warehouse performance through partitioning strategies, indexing, materialized views, and query tuning
- Identify and analyze operational impacts of new projects, services, data warehouse infrastructure, enterprise information systems, and automated systems
- Address moderately complex data-related customer issues
- Provide input to the development and implementation of data standards, procedures, and safeguards
- Work with management and staff across customer and service provider areas to define business and technical requirements for enterprise data warehousing and analytics systems
- Communicate complex technical topics to non-technical audiences
- Collaborate and communicate with team members to perform work, resolve issues, update statuses, and analyze and report on alternative data warehouse design solutions
- Provide technical expertise in database and data warehouse solutions including DBMS tools and utilities usage, database administration, backup and recovery, database performance tuning and monitoring
- Lead the support and enhancements of Oracle databases and data warehouse platforms in a highly available architecture
- Participate in database support on-call rotation
Requirements
- Minimum 8 years supporting, designing, and engineering highly complex RAC-enabled Oracle data warehouse and data technology solutions across multiple diverse platforms
- Proven experience designing and implementing Oracle data warehouses including dimensional modeling, ETL/ELT processes, data integration, and performance optimization
- Familiarity with dimensional modeling techniques (star schema, snowflake schema), slowly changing dimensions, and data warehouse design patterns
- Strong understanding of PL/SQL; ability to read/review code and offer suggestions to improve developer Packages, Functions, and Procedures
- Unix, Linux, and/or AIX experience required
- Expertise in query optimization, partitioning strategies, indexing, and materialized views for data warehouse environments
Benefits
- Onsite work expectation
- Opportunity to work with cutting-edge data warehousing technologies
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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