Software Engineer II –Decision Intelligence Delivery and Support
6 months ago
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Brief Job Summary
The Data Enablement forDecisionIntelligence & Analytics role works across data-focused projects in support of the Global Product Development and Supply (GPS) organization in the Data and Supply Technology Excellence team (DSTE), including the development, administration, and operation of applications.This role requires a passion for data, with strong programming skills namely SQL, Python, and Java. Strong knowledge of BI domain, data-warehousing concepts, analytics and reporting tools. Experience working in ETL (Extract, Transform & Load) processes. Knowledge of agile project management, cloud computing, SAP, Machine Learning, R, and working with APIsis a plus. Basic Unix knowledge, experience using columnar databases preferred,Should have excellent communication and presentation skills
Role Purpose
Develop, operate, and enhance data management and analytic-focused digital capabilities in support of DSTE team and GPS BIA. This includes development of decision intelligence and analytic solutions from solution design to testing, deployment,support,and full lifecycle management.
Key Responsibilities (role/business capability)
Operations Management: Support the administration and operation of the Decision Intelligence platform and applications, includingleveraging data components from Enterprise Data Lake (EDL) and other source systems. Provide tier-1 support to Decision Intelligence system end-users including, but not limited to user administration, troubleshooting technical issues, triaging support tickets, collaborate with appropriate technical subject matter experts from other teams to resolve issues.
Data Engineering and Analytics: Work with data/analytic technologies primarily Aera Decision Intelligence Platform and other tools such as Tableau, Spotfire, , SQL, Python, Java, AWS/Azure/MS Cloud Products and Domino Data Labs. Build data crawlers to extract data from source systems using proprietary ETL platform. Design and build data warehouse models in columnar databases, including Facts, Dimensions and Measures. Develop data processing scripts using SQL and be able to optimize complex sequences of SQL queries.
Requirements Gathering: Collaborate with different teams across GPS and GPSBIA organizations to assist in developing data requirements, data refinement business rules, acceptance criteria, testing approach, and change management plans for data management for analytic solutions.
Data Knowledge: Develop a thorough understanding of the BIA and GPS data ecosystem and its technologies.
Governance Oversight: Ensure adherence to applicable data governance policies and procedures for GPS and GPS BIA data assets including management of data access policies.
Vendor management and collaboration: deliver and support custom-built data solutions and partner with software vendors and service providers.
Business Structure Analysis: create architectural diagrams and understand infrastructure setups, manage deployments of varying complexities.
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