• Gather detailed requirements from business teams for new business intelligence and reporting initiatives • Document requirements and translate them into user stories for the development team • Design and develop data models to support the reporting and analytics needs of the business • Work closely with data engineers and developers to ensure the successful delivery of BI solutions • Test and validate BI deliverables to ensure they meet the defined requirements and provide the expected value • Coordinate with business stakeholders to gather feedback, address issues, and manage ongoing support • Demonstrate excellent attention to detail and strong problem-solving skills to identify and resolve data quality issues • Maintain clear and concise communication with all project team members and stakeholders • Continuously learn and stay up-to-date with the latest BI tools, technologies, and best practices

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.

Role Description Ce rôle peut être exercé entièrement à distance. Durée : 15/06/2026 à 26/06/2027. Un client du secteur public de TEKsystems nécessite un contractuel en intelligence d’affaires et analytique pour améliorer la capacité de livraison en soutien d’un portefeuille de travail en cours. Le candidat retenu doit avoir une expérience démontrée dans le développement de scripts d’extraction, de transformation et de chargement (ETL) en utilisant PowerCenter Informatica. Le candidat idéal aura également de l’expérience avec les technologies des plateformes de données Microsoft et/ou SAP BusinessObjects. La préférence sera accordée aux candidats ayant de l’expérience sur plusieurs plateformes. La portée du travail pour ce contrat sera d’effectuer l’analyse et la mise en œuvre de solutions de rapports et d’analytique. Tâches / livrables incluent : - Coordonner avec les SME pour définir les exigences de rapports. - Travailler avec l’équipe de gouvernance TI pour valider les propositions architecturales de solution. - Examiner et mettre à jour les data marts au besoin. - Développer des scripts ETL pour de nouvelles tables. - Développer des pipelines au sein de Azure Data Factory. - Préparer la documentation technique pour la maintenance. - Former le personnel de support interne. Qualifications - Cinq (5+) années d’expérience dans les 7 dernières années à développer et livrer des solutions réussies d’intelligence d’affaires et d’analytique en utilisant une ou plusieurs technologies pertinentes. - Expérience utilisant PowerCenter Informatica pour créer ou modifier des scripts d’extraction, transformation et chargement (ETL) (5+ ans). - Expérience utilisant SAP BusinessObjects pour créer et/ou gérer un univers d’entrepôt de données et pour créer ou modifier des rapports (5+ ans). - Expérience avec les outils de la plateforme de données Microsoft incluant Azure Data Factory, Azure Synapse Analytics et Microsoft Fabric (5+ ans). - Cinq (5+) années d’expérience appliquant des principes de modélisation de données tels que la modélisation dimensionnelle Kimball. - Cinq (5+) années d’expérience travaillant avec des technologies de bases de données et de scripting, telles que Oracle ou SQL Server. - Deux (2+) années d’expérience mentorant d’autres développeurs en intelligence d’affaires et analytique. Requirements - Connaissance de l’architecture de données cloud (lakehouse, entrepôt de données moderne). - Expérience avec la sécurité Azure : identités gérées, RBAC, contrôles de données. - Familiarité avec CI/CD et DevOps (Azure DevOps, Git). - Certification Azure AZ-104 et Microsoft DP-600 & 700 à jour. - Virtualisation des données utilisant Denodo. - Solides compétences de communication verbale et écrite pour des audiences diverses. Benefits - Le taux de rémunération pour ce poste est de 70,00 $ - 85,00 $/hr. - C'est un poste entièrement à distance.

Role Description DARE TO BE A PART OF THE CHALLENGE! COME AND JOIN OUR TEAM TOGETHER WE CAN MAKE THE DIFFERENCE! Did you know that Accenture is leading the digital transformation in the World? Offer: - Career development according to your profile and interests. - Work in one of the best companies and feel proud. - Access to an innovative methodology and tools. - Direct contact with experts worldwide. - Use of work schemes and cutting-edge technologies. - Constant training. - Work environment based on teamwork and collaboration. - Participation in International Projects. Qualifications - 3–8 years of experience. - Must-have skills: - Power BI - DAX y Power Query - SQL - Fluent in English. - Nice to have: - Fabric - Power BI Service Requirements - Accenture does not discriminate based on race, religion, color, sex, age, disability, nationality, sexual orientation, gender identity or expression, or for any other reason covered by local law. Company Description Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com