Data Engineering & BI/Analytics

Advancio, Inc

  • Downey, CA
  • 30+ days ago

    Highlights

    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. 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).

    Numbers & Facts

    LocationDowney, CA

    Description

    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



    Similar Jobs