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Uber Integration Engineer II - Business Applications 
United States, West Virginia 
501574335

22.11.2024
About the Role

As an SPM Data Integration Developer on the Business Technology Engineering team, you will be responsible for gathering and documenting business requirements, designing, building, testing, deploying, and providing post-production support on complex, high-impact cross-functional projects that deliver value to our Commercial and Sales Operations teams. You will collaborate with internal and external partners to ensure our salespeople are measured fairly and paid accurately and on time through our sales performance management systems.

What You’ll Do
  • Configure and Maintain: Develop and sustain data integration solutions to connect and synchronize internal Uber systems and external third-party systems with our sales performance management system.
  • Data Management: Maintain a secure, single source of truth for all sales productivity and performance-related data.
  • Quality Assurance: Implement and ensure adherence to data quality and security measures across all integrations.
  • Custom Solutions: Develop and maintain custom integration solutions using APIs and data integration tools.
  • Process Improvement: Adhere to and enhance rigorous DevOps processes and supporting documentation.
  • Issue Resolution: Monitor, maintain, and troubleshoot issues related to data integrations and data flow.
  • Collaboration: Work with internal and external business partners to develop or enhance systems, processes, and procedures.
  • Platform Management: Support the management, development, ongoing maintenance, and technical support of the sales performance management data integration platform and its peripheral systems.
  • Continuous Learning: Stay current with industry trends and advancements in sales performance management SaaS platforms and data integration technologies.

Must-Have Experience with

  • Data structures and algorithms in Python
  • 3+ years of experience on developing custom integrations using third-party APIs (ex, JDBC connections or REST)
  • Orchestration tools such as Apache Airflow and Kafka
  • Cloud platforms such as AWS, Google Cloud, or Azure is a plus
  • Strong communication and teamwork skills
  • Excellent problem-solving and analytical skills

Good to Have Experience with

  • Traditional ETL tools such as Mulesoft, Informatica, Boomi, Apache Spark, and Talend
  • SQL and data modeling
  • Sales performance management concepts

* Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to .