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Staff Software Engineer

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Uber

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

Staff Software Engineer role in Data, Engineering for Uber's Payments data ecosystem. The candidate will provide strategic leadership, own the technical vision, architect scalable data pipelines, elevate data standards, optimize systems, mentor engineers, and drive engineering excellence.

Job Responsibility:

  • Own and drive the technical roadmap for the Payments data ecosystem
  • Actively identify strategically important problems and inefficiencies
  • Partner with Product, Operations, and Engineering stakeholders to translate ambiguous business goals into clear, actionable technical solutions
  • Drive consensus on complex technical decisions across the organization
  • Design and implement resilient, cost-effective, and high-scale batch and streaming pipelines
  • Define and enforce robust data modeling standards, data contracts, and governance frameworks
  • Identify opportunities to automate manual workflows and optimize infrastructure efficiency
  • Champion sustainable engineering practices
  • Serve as a humble mentor and technical advisor
  • Act as a role model for judgment and responsibility

Requirements:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
  • 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
  • 10+ years of hands-on, expert-level SQL experience
  • Extensive experience designing dimensional data models (Star/Snowflake schemas) and data warehouses
  • Proficiency in at least one high-level programming language (Java, Scala, Python, or Go)
  • 10+ years of experience working with distributed data systems (Hadoop, Hive, Spark) and MPP databases (Vertica, Redshift, etc.)
  • Experience designing full-lifecycle data systems, including logging, ingestion (Batch/Stream), quality frameworks, and monitoring
  • Excellent written and verbal communication skills
  • A strong passion for driving engineering excellence and mentoring engineers

Nice to have:

  • Deep expertise in large-scale Batch Processing systems (Spark, MapReduce, Hive)
  • Extensive experience building real-time data platforms using Apache Kafka, Flink, or Spark Streaming
  • Expert hands-on understanding of designing fault-tolerant, multi-datacenter, and cloud-native architectures
  • Experience with Infrastructure as Code (IaC) (Terraform, Kubernetes)
  • Proficiency in multiple programming languages (Java, Scala, Go, Python) and deep knowledge of various storage engines (MySQL, Cassandra, Redis, Pinot)
  • Experience with modern open table formats like Apache Iceberg, Hudi, or Delta Lake
  • Experience designing end-to-end Data Observability frameworks
  • Ability to implement automated quality gates, anomaly detection, and SLAs
  • Passion for defining and enforcing Data Contracts
  • Track record of driving cost efficiency in big data environments
  • Background in Fintech, Payments, or Operations Analytics, with exposure to complex regulatory environments (GDPR, SOX) and data privacy frameworks
  • Passion for Data Governance and establishing engineering best practices
  • A strong history of mentoring senior engineers

Additional Information:

Job Posted:
February 14, 2026

Work Type:
On-site work
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