Data Infrastructure Specialist

5 days ago


Singapore beBeeData Full time
Job Opportunity
We are seeking a talented Data Engineer to design and implement robust large-scale data processing and transformation pipelines in the Data Platform team.

The Data Platform builds a scalable compute platform that is used throughout the organization, enabling diverse teams to access data, extract meaningful automated metrics, and perform various ad-hoc analyses on the data. We handle data at the petabyte scale and provide critical functions to improve the development of reliable autonomous vehicles by allowing researchers and engineers to understand how they perform various tasks and scenarios in real-world or simulated environments.

The Data Platform team is responsible for building automated pipelines to perform information extraction from the data, transformation of data into different formats that can be consumed by downstream services, and building interfaces to enable easy access to the data.

Key Responsibilities:

  • Design, build, maintain, and monitor scalable data pipelines in cloud infrastructure.
  • Design and build self-service data platform infrastructure and backend services.
  • Write high-quality, maintainable code.
  • Mentor junior engineers with high-level system design and code reviews.
  • Communicate with stakeholders and team leads to identify system requirements.
  • Take strong ownership and responsibility for reliable and efficient data pipelines.

Requirements:

  • 5+ years of professional work experience as a data pipeline engineer.
  • BS or MS in Computer Science or related field.
  • Expertise with distributed data processing frameworks, such as Spark, Flink, Beam.
  • Expertise with Java, Python, or Go.
  • Experience with AWS services and solutions.
  • Experience with cloud-native backend software development is a plus.
  • Experience with Kubernetes is a strong plus.
  • Strong written and oral communication skills.
  • Comfortable working in a fast-paced, continuous delivery environment.

Skills to Highlight:

  • Oral Communication Skills.
  • Scala.
  • Kubernetes.
  • Big Data.
  • Pipelines.
  • Hadoop.
  • Data Transformation.
  • ETL.
  • Data Engineering.
  • SQL.
  • System Design.
  • Python.
  • AV.
  • Java.
  • Databases.
  • Software Development.

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