
Data Engineering & BI/Analytics
Advancio · Downey, CA, United States
Weak hiring record · median 343 days open
All reasons
- 52% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
Role Summary
Moves and transforms data across the County's legacy-to-modern data landscape: legacy mainframe/file-based data conversion into target systems, enterprise BI and reporting (Power BI, Databricks, SSRS/SSIS), and Oracle-based data warehousing and financial-systems integration. Reflects a County mid-migration — still operating legacy pipelines while building a modern BI layer. Expect continued growth in Databricks/modern-stack reqs.
Core Responsibilities
- Profile, cleanse, transform, validate, and load data from legacy systems into target solutions
- Support data mapping and crosswalk analysis across organizations and vendors
- Design and develop Power BI dashboards, paginated reports, and row/object-level security
- Build and support Azure Data Factory / Databricks data pipelines and data warehouse solutions
- Develop and tune Oracle PL/SQL and SQL Server queries, stored procedures, and jobs
- Design data models using DAX/MDX across Power BI, SSAS, Databricks, or Azure Synapse
- Support data loading and integrations using REST APIs and EPM Automate (for Oracle PBCS/EPM variants)
- Document extraction logic, validation rules, and data-retention/compliance requirements
- Facilitate knowledge transfer so business users can work independently with converted data
Requirements
Skills Required
- Power BI (Dashboards, Paginated Reports, Gateway, RLS/OLS); Azure Databricks; Azure Data Factory
- SQL Server / Oracle: T-SQL, PL/SQL, SSIS, SSRS
- DAX/MDX data modeling (SSAS, Databricks, Azure Synapse)
- Legacy/mainframe data formats, flat files, data dictionaries, ETL and reconciliation
- Oracle Planning & Budgeting Cloud Service (PBCS) / EPM Automate / Oracle Integration Cloud (for financial-systems variants)
- Azure DevOps, Git/GitHub, Python, JSON
Experience Required
- 5+ years experience in Power BI and Azure environments (BI-focused roles), or 3+ years supporting field mapping/crosswalk/data validation during conversion (Data Engineer roles)
- 3+ years designing Power BI Paginated Reports or Data Warehouse work with Databricks/SQL Server/Oracle
- 2+ years designing data models using DAX/MDX
- 3+ years working with legacy/relational data technologies (mainframe, DB2, FOCUS, Oracle, SQL Server)
- For Oracle PBCS variants: 7+ years implementing/supporting Oracle Planning & Budget Cloud Services, 3+ in a lead capacity
Education / Training
- Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or closely related field
- Additional qualifying experience may substitute for education on a year-for-year basis
Skills
- Power BI
- Databricks
- SSRS
- SSIS
- Oracle Database
- Azure Data Factory
- PL/SQL
- SQL Server
- DAX
- Synapse
- Azure Databricks
- T-SQL
- ETL
- Azure DevOps
- Git
- GitHub
- Python
- JSON
- Azure
- DB2
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