Sr. Data Engineer

About the team

The Business Applications team's mission is to empower Uber's staff to be more productive and successful through our technical solutions, service delivery and innovation. Our team supports Sales and Community Operations teams within Uber Eats, Uber Freight and Uber for Business. We also support Uber's Law Enforcement Response Team improving safety of riders/drivers across the globe. Our team invests in innovation, new business line expansion and integration with external and internal systems.

About the Role

As a Sr Data Engineer in the Business Applications team you will be responsible for working 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 building future state architecture which is scalable, reliable, secure, and efficient.
• Data Pipelines - Design & build scalable 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.
• Applying data modeling techniques to organize and transform data into meaningful and valuable output; and profiling large quantities of data to provide appropriate recommendations for products and/or processes.
• Design, build, automate and maintains data tools and solutions (e.g., pipelines, models, tables) to acquire, process, and store data by ensuring the accessibility, reliability, and quality of data for end users and 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 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.
• Collaborate on architecture and technical design discussions to identify and evaluate high impact process initiatives.
• Lead the implementation of data governance, 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 documentations and specifications on detailed design.
• Be able to work in a globally distributed team in an Agile/Scrum approach.

- Basic Qualifications -

Basic Qualifications

• Master's or Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience.
• 10+ years 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
• Strong SQL skills - knows 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.