About the role
from listingAbout the Role
We are seeking a highly skilled and experienced Sr. Data Analytics Engineer, to join our Customer Support Data (CSD) team within Uber’s Community Operations (CommOps) organization. As a key member of our team, you will be responsible for driving the design, development, and governance of data solutions to address complex business and technical challenges. Your expertise in Data engineering, data systems, and data governance will play a critical role in building scalable and efficient data platforms and tools while ensuring data integrity and compliance.
This is a unique opportunity to make a significant impact on our organization, contribute to the success of our team, and champion data governance practices.
As a Senior member of the team you should be able to work through different areas of Data Engineering & Data Architecture including the following:
Data Architecture & Modeling - Understand existing sources & data models and identify the gaps and building 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
Data Migration - From Hive/other DBs to Cloud/other DBs and vice versa
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, 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
Bachelor's Degree in computer science or similar technical field of study or equivalent practical experience.
8+ 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
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.