About the Role
As a Sr. Data Engineer in the Business Applications team, you should be able to work through the different areas of Data Engineering & Data Architecture including the following:
- Data Migration - From Hive/other DBs to Salesforce/other DBs and vice versa
- Data Modeling - Understand existing sources & data models and identify the gaps and build future state architecture
- Data Pipelines - Building Data Pipelines for several Data Mart/Data Warehouse and Reporting requirements
- Data Governance - Build the framework for DG & Data Quality Profiling & Reporting
What the Candidate Will Do:
- Demonstrate strong knowledge of and ability to operationalize, leading data technologies and best practices.
- Collaborate with internal business units and data teams on business requirements, data access, processing/transformation, and reporting needs and leverage existing and new tools to provide solutions.
- Build dimensional data models to support business requirements and reporting needs.
- Design, build, and automate the deployment of data pipelines and applications to support reporting and data requirements.
- Research and recommend technologies and processes to support rapid scale and future state growth initiatives from the data front.
- Prioritize business needs, leadership questions, and ad-hoc requests for on-time delivery.
- Collaborate on architecture and technical design discussions to identify and evaluate high-impact process initiatives.
- Work with the team to implement data governance, and access control and identify and reduce security risks.
- Perform and participate in code reviews, peer inspections, and technical design/specifications.
- Develop performance metrics to establish process success and work cross-functionally to consistently and accurately measure success over time
- Delivers measurable business process improvements while re-engineering key processes and capabilities and maps to future-state vision
- Prepare documentation and specifications on detailed design.
- Be able to work in a globally distributed team in an Agile/Scrum approach.
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What the Candidate Will Need:
- Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience.
- 8+ years of professional software development experience, including experience in the Data Engineering & Architecture space
- Interact with product managers, and business stakeholders to understand data needs and help build data infrastructure that scales across the company
- Very strong SQL skills - know advanced level SQL coding (windows functions, CTEs, dynamic variables, Hierarchical queries, Materialized views, etc)
- Experience with data-driven architecture and systems design knowledge of Hadoop-related technologies such as HDFS, Apache Spark, Apache Flink, Hive, and Presto.
- Good hands-on experience with object-oriented programming languages like Python.
- Proven experience in large-scale distributed storage and database systems (SQL or NoSQL, e.g. HIVE, MySQL, Cassandra) and data warehousing architecture and data modeling.
- Working experience in cloud technologies like GCP, AWS, Azure
- Knowledge of reporting tools like Tableau and/or other BI tools.
We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
*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 accommodations@uber.com.