Senior Data Engineer

2 weeks ago


seattle, United States Optomi Full time

Important notes:

  • (Role is hybrid; 3 days a week onsite/in-office)Multiple locations: Seattle, WA; San Jose, CA; Santa Monica, CA; or Glendale, CA
  • Due to client constraints and the nature of the role: please do NOT apply for this opportunity if you need to do so through a third party or if you require sponsorship
  • Role is a (full-time) long-term W2 contract role that is eligible for conversion to full-time(FTE) at any time with client


Summary:

Optomi, in partnership with a Flagship Enterprise in the Media & Streaming space, is inviting applicants for a talented Data Engineer to join a Data & Ad Platforms team. As a Data Engineer, you will help build a next-generation data analytics platform utilizing the most advanced big data technologies. You should be willing to go to the depths to tackle complex problems and have the curiosity to explore and learn new technologies for innovative solutions. Are you someone who enjoys answering difficult data questions and enjoy the startup play hard/work hard environment? If so, then this is a great role for you


What the right candidate will enjoy:

  • Design, architect, develop, scale, and improve our data platform and its services
  • Implement large-scale high-throughput solutions using on-premise and cloud technologies such as Kafka, Flink, Spark, Hadoop/Hive, AWS Lambda, Terraform, Kubernetes, etc.
  • Participate in novel solutions to challenging technical problems, introduce new technologies to our data platform and its services
  • Diagnose and debug issues in development, staging and production environments
  • Collaborate with product/program managers, software developers and analysts in an open, creative environment


Experience of the right candidate:

  • 3+ years of Software or Data Engineering experience is required
  • Bachelor's Degree in a STEM field required (15+ years of experience in lieu of STEM degree is acceptable)
  • Strong programming (Scala/Java) skills required; ideally additional skills in Python
  • Experience with real-time processing and/or streaming technologies like Kafka, Flink, Storm, Spark Streaming, etc is required
  • Expertise utilizing Spark for big data processing required; Experience with Hadoop/Hive and AWS EMR highly desired
  • Knowledge of cloud big data services and technologies required (AWS Preferred)
  • Knowledge of lambda architecture and data-warehousing concepts


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