Sr Data Analytics Engineer, Tech - Data

Uber; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Benefits offered by this job

Bonuses

Equity

Benefits

Job summary

Uber is seeking a Sr. Data Analytics Engineer for the Customer Support Data team within Community Operations in Bengaluru. The role focuses on designing scalable data platforms, governance, and advanced analytics to drive business decisions.

The candidate will build data models, pipelines, and governance frameworks, collaborating across business units, and leading data-driven initiatives in a globally distributed Agile environment.

Qualifications

• Bachelor's degree in CS or equivalent practical experience.
• 8+ years in software development with data engineering/architecture focus.
• Strong SQL including window functions, CTEs and hierarchical queries.
• Hands-on with Hadoop ecosystem (HDFS, Spark, Flink, Hive, Presto).
• Experience with Python and cloud platforms (GCP/AWS/Azure).

Responsibilities

• Design and govern data solutions to address complex business challenges.
• Collaborate with product and data teams on requirements and reporting needs.
• Build dimensional data models to support reporting and analytics.
• Deploy and automate data pipelines and applications for insights.
• Lead data governance and data quality efforts across ecosystems.
• Participate in code reviews and architectural discussions.
• Develop metrics to measure process success and impact.

Skills

SQL

Python

Data modeling

Data warehousing

Hadoop ecosystem

Cloud platforms

Education

Bachelor's degree in CS or related field

Tools

Apache Spark

Apache Flink

Hive

Presto

Tableau

SQL databases (MySQL)

Job description

About the Role

We are seeking a highly skilled and experienced Sr. Data Analytics Engineer, to join our Customer Support Data (CSD) team within the company'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.

Ready to Ride?

This isn't the kind of place where you follow a playbook - it's where you help write one. If you're driven by impact, energized by challenge, and ready to shape how the world moves - we'd love to hear from you.You may be eligible for bonuses, equity, and other compensation, as well as a range of benefits. Explore our benefits.

Offices remain key to collaboration and the company's culture. Unless approved for full remote work, employees must spend at least 50% of their time in-office. Some roles, like those at greenlight hubs, require full-time in-office presence. Ask your Recruiter for details about this role's requirements.

the company is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing this form.