Job Description

Senior ETL/Database Developer

Sacramento, CA (Hybrid, Two days a week in office required)

Long-term Contract

Requirements:

• Senior hands-on ETL/Database Developer with strong communication skills.
• Detail oriented ability to independently extract, transform, and load a Oracle ADW data warehouse environment with minimal supervision
• Ability to translate business and functional requirements into technical requirements for a Data Warehouse.
• Candidate needs to be able to demonstrate, direct hands-on recent practical experience in the areas identified with specific examples.

Key Duties/Responsibilities:

• Performs ETL and database development activities for the Enterprise Data Warehouse in the Oracle Cloud Infrastructure, Oracle Autonomous Data Warehouse Environment
• Reviews existing architecture and provides solution recommendations where applicable
• Develops, tests, and implements scripts/jobs for data Extract Transform and Load (ETL) from data source(s) to target(s) in the data warehouse using ODI
• Design, develop, and optimize ETL processes using Oracle tools and technologies
• Create and maintain data pipelines to extract data from various sources, transform it according to business rules, and load it into Oracle data warehouses
• Collaborate with data analysts and business stakeholders to understand data requirements and implement appropriate solutions
• Troubleshoot and resolve data quality issues and performance bottlenecks
• Document ETL processes, data mappings, and data lineage
• Implement data quality checks and validation procedures
• Participate in code reviews and adhere to best practices in ETL development
• Hands-on experience working with and managing Oracle's Autonomous Data Warehouse (ADW) service
• Develops physical data model and/or works with data modeler to develop physical data model
• Develops Testing Approach, Plan, Scripts and Documentation of Results
• Participates in developing Requirements Specifications
• Participates in developing Design Specifications
• Monitors the EDW and responds to incidents
• Provides documentation to support the Kimball Dimensional Data Modeling Framework
• Mentors and educates team members on best practices and industry standards

Required Skills and Qualifications:

• Staff resource must have a minimum of seven (7) years of verifiable experience in database design, development, and warehouse architecture supportive of key duties/responsibilities identified above in an Oracle environment
• At least two (2) years of experience in the last 6 years performing ETL development activities in a Oracle Autonomous Data Warehouse in a Oracle Cloud Infrastructure Environment.
• 5 years' experience performing development in Oracle data warehouses within the last 10 years
• Excellent communication and collaboration skills to work effectively with technical stakeholders and team members.
• Proficient with various Oracle tools used to perform ETL, performance management, and tuning for an Oracle Data Warehouse and Oracle Cloud Infrastructure Environment.
• Strong proficiency in Oracle Database, PL/SQL, and SQL
• Experience with Oracle Data Integrator (ODI) or Oracle GoldenGate
• Solid understanding of data warehousing concepts and dimensional modeling
• Familiarity with Oracle Business Intelligence Enterprise Edition (OBIEE) is a plus
• Strong analytical and problem-solving skills
• Ability to develop and perform Extract, Transform and Load (ETL) activities using Oracle tools with at least 5 years ETL experience.

Desired Skills and Qualifications:

• Certified for "Oracle Autonomous Database Cloud 2021 Certified Specialist" and/or "Oracle Machine Learning using Autonomous Database 2021 Certified Specialist"
• Certified on Oracle Cloud infrastructure 2021 certified architect professional
• Certified for Oracle data integrator 12C certified implementation specialist
• Ability to perform technical leadership of an Oracle data warehouse team including but not limited to data modeling, requirements solicitation, DBA, data warehouse administration, and data analysis on a hands-on basis.

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