Senior Data Engineer

Responsibilities

• Design and build batch and streaming data pipelines to support automated data ingestion, ML feature engineering and analytics across multiple product domains.
• Own end-to-end delivery of complex, ambiguous data initiatives, including architecture, implementation, testing, deployment, monitoring, and documentation.
• Develop and evolve the data platform to support large-scale data processing using modern cloud-native technologies.
• Automate data operations (validation, quality checks, alerting, backfills, and recovery workflows) to reduce manual effort and improve consistency.
• Optimize cost, performance, and reliability of data workloads.
• Partner closely with cross-functional teams (Data Science, Product, Engineering) to understand requirements, translate them into technical solutions.
• Evaluate and adopt new technologies (new processing engines, storage formats, orchestration tools, GenAI-assisted ingestion) to keep the platform modern and efficient.
• What You Bring
• 5+ years of hands-on data engineering experience, building and maintaining production-grade data platforms and pipelines.
• Strong programming skills in general-purpose language (such as Python or Scala) for data processing, and SQL for data analytics.

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