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Staff Software Engineer - Data

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Uber

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let’s move it forward, together.

Job Responsibility:

  • Own the Technical Vision: You will own and drive the technical roadmap for the Payments data ecosystem, balancing long-term architectural scalability with short-term business critical deliveries
  • Navigate Ambiguity: Actively identify strategically important problems and inefficiencies without waiting for instruction
  • Drive Alignment: See the big picture and drive consensus on complex technical decisions across the organization
  • Architect at Scale: Design and implement resilient, cost-effective, and high-scale batch and streaming pipelines that power critical support operations and financial analytics
  • Elevate Data Standards: Define and enforce robust data modeling standards, data contracts, and governance frameworks
  • Optimize & Automate: Identify opportunities to automate manual workflows (like SLA tracking and issue detection) and optimize infrastructure efficiency to lower TCO
  • Raise the Bar: Champion sustainable engineering practices
  • Be a Trusted Mentor: Serve as a humble mentor and technical advisor to both junior engineers and peer leaders
  • Force Multiplier: Act as a role model for judgment and responsibility

Requirements:

  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
  • Experience Level: 10+ years of hands-on experience in Data Engineering, with a proven track record of delivering results at a Staff Engineer level (or equivalent scope) at a premier technology company
  • Expert SQL Competency: 10+ years of hands-on, expert-level SQL experience
  • Data Modeling & Warehousing: Extensive experience designing dimensional data models (Star/Snowflake schemas) and data warehouses
  • Software Engineering Fundamentals: Proficiency in at least one high-level programming language (Java, Scala, Python, or Go)
  • Big Data Ecosystem: 10+ years of experience working with distributed data systems (Hadoop, Hive, Spark) and MPP databases (Vertica, Redshift, etc.)
  • End-to-End Architecture: Experience designing full-lifecycle data systems, including logging, ingestion (Batch/Stream), quality frameworks, and monitoring
  • Technical Leadership: Excellent written and verbal communication skills
  • Mentorship & Growth: A strong passion for driving engineering excellence and mentoring engineers

Nice to have:

  • Technical Strategy & Architecture: Batch Processing Optimization
  • Technical Strategy & Architecture: Streaming & Real-Time
  • Technical Strategy & Architecture: Cloud & Fault Tolerance
  • Modern Data Stack & Languages: Polyglot Engineering
  • Modern Data Stack & Languages: Lakehouse Architecture
  • Observability & Data Trust: Advanced Observability & Data Quality
  • Observability & Data Trust: Data Governance & Contracts
  • Domain & Leadership: FinOps & Cost Strategy
  • Domain & Leadership: Domain Expertise
  • Domain & Leadership: Governance & Mentorship

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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