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BI Developer
Location
USA Timezones + 1 moreAll locations: USA Timezones | PST (UTC-8)
Posted
63 days ago
Salary
$195K - $210K / year
Seniority
Mid Level
No structured requirement data.
Job Description
BI Developer
Science Systems & Applications
Role Description Science Systems and Applications, Inc. (SSAI) is seeking a senior BI Developer / Data Engineering professional to support enterprise data initiatives for a public sector education client. The selected candidate will design, automate, support, and improve data extraction, transformation, loading, data warehouse, and data lake solutions. This position is Onshore / Remote and requires availability during Pacific Time business hours. This role is ideal for a senior data professional with deep experience in: - Oracle - dbt - ETL/ELT - Data ingestion - Dimensional modeling - Cloud data integration - Data quality validation - Git/CI-CD deployment practices The work supports large-scale enterprise data management and reporting needs across business customers, vendors, and internal technical teams. Key Responsibilities: - Design, automate, support, and enhance sophisticated data extraction, transformation, and loading applications. - Develop and support Oracle database batch applications within data warehouse and data lake environments. - Ingest data from heterogeneous sources into on-premises or cloud data storage platforms, including environments such as Snowflake, AWS, and related cloud data services. - Build and manage ETL/ELT workflows using dbt, Oracle Data Integrator (ODI), Oracle PL/SQL, Oracle SQL, and shell scripting. - Develop dimensional hierarchies and data models to support enterprise data management reports and analytics needs. - Create and improve data solutions that support smooth, reliable data delivery across large volumes of data. - Perform data quality validation, write dbt tests, and help resolve data integrity or reporting issues. - Support API development frameworks and cloud-native data integration technologies as needed. - Support data lake migration from on-premises systems to cloud platforms. - Build incremental models, manage raw data layers, and develop modular dbt models for vendor/application data. - Convert complex Oracle stored procedures into maintainable dbt models using macros, hooks, incremental models, and modular design practices. - Use Git workflows, branching strategies, and CI/CD pipelines to support automated deployment of data solutions. - Collaborate with business customers, vendors, and internal resources to clarify requirements, resolve issues, and support successful delivery. - Provide weekly status updates and maintain required project/time reporting. Qualifications - 10+ years of demonstrated experience in BI development, data engineering, ETL/ELT, data warehouse, data lake, enterprise data management, or closely related services. - Strong knowledge of Oracle database development for batch applications in data warehouse or data lake environments. - Hands-on experience with data ingestion from multiple heterogeneous sources into on-premises and/or cloud data platforms. - Experience using dbt, ODI, Oracle PL/SQL, Oracle SQL, and shell scripting to manage ETL/ELT processes. - Experience developing dimensional hierarchies and data models for enterprise reporting. - Experience creating, maintaining, processing, and analyzing large data volumes. - Experience with data quality validation, reconciliation, and testing. - Knowledge or hands-on experience with API development frameworks. - Knowledge or hands-on experience with cloud-native data integration technologies. - Experience supporting data lake migration from on-premises systems to cloud platforms. - 3+ years of experience building incremental models, handling raw data layers, and building dbt models for vendor/application data. - Proficiency in dbt development, including macros, hooks, incremental models, data quality tests, and model security. - Experience converting complex Oracle stored procedures into modular dbt models. - Expert-level knowledge of Git workflows, branching strategies, and CI/CD pipelines for automated deployment. - Strong communication skills and ability to work with business stakeholders, vendors, and technical teams. Desired Qualifications - Previous experience working on LAUSD Data Lake systems or similar large education/public-sector data platforms. - Hands-on experience with Snowflake, AWS, or other cloud data platforms. - Experience with Oracle Data Integrator (ODI) in enterprise environments. - Experience modernizing legacy Oracle/PL SQL data processes into dbt-based models. - Experience supporting cloud data migration, data validation, and data reconciliation activities. - Experience working with vendor/application datasets and enterprise reporting requirements. - Strong technical problem solver with deep Oracle, dbt, ETL/ELT, data warehouse, and data lake experience. - Experience in Agile, DevOps, or CI/CD-enabled data delivery environments. Physical Requirements - Regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. - Frequently required to talk and hear. - Occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. - Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. - Specific vision abilities required include close vision, peripheral vision, depth perception, and the ability to adjust focus.
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