Hybrid Software Engineer – Data Platform

Posted 2 months ago

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About the role

  • Software Engineer responsible for full ownership of data platform initiatives at Motive. Involved in data management, ingestion, processing, and storage systems.

Responsibilities

  • Design and develop scalable distributed systems and frameworks for data management
  • Focus on addressing fault-tolerance and high availability issues, and work on scaling ingestion pipelines, improving and adding features to ETL framework while maintaining SLAs on performance, reliability, and system availability.
  • Collaborate with engineers across teams to identify and deliver cross-functional features
  • Participate in all aspects of the software development life cycle, from design to implementation and delivery.

Requirements

  • 3+ years Hands-on software engineering experience
  • Backend programming skills including multi-threading, concurrency, etc and proficient in one or more of Python
  • Strong CS fundamentals including data structures, algorithms, and distributed systems
  • Experience in designing, implementing, and operating highly scalable software systems and services
  • Experience building systems using technologies like Apache Kafka, Apache Spark, Airflow, Kubernetes
  • Experience with service-oriented architectures
  • Excellent troubleshooting skills and track record of implementing creative solutions
  • Hands on experience with containerized platforms like Docker and Kubernetes
  • BS in Computer Science or a related field; Masters preferred
  • Excellent verbal and written skills. You collaborate effectively with other teams and communicate clearly about your work.

Benefits

  • Creating a diverse and inclusive workplace
  • Equal opportunity employer

Job title

Software Engineer – Data Platform

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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