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Data Engineer
Data EngineerOhm Systems • Beaverton, Oregon, USA
Data Engineer

Data Engineer

Ohm Systems • Beaverton, Oregon, USA
[job_card.variable_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Manager Notes :

  • This position can be 100% remote
  • Candidates need to have previous AI / ML experience
  • Work history In Finance Preferred
  • Experienced in Databricks Spark Python snowflake
  • Must have STRONG SQL skills

Role Responsibilities :

  • Contribute to Design and implement data products and features in collaboration with product owners data analysts and business partners using Agile / Scrum methodology
  • Contribute to overall architecture frameworks and patterns for processing and storing large data volumes
  • Contribute to evaluation of new technologies / tools / frameworks centered around high-volume data processing
  • Translate product backlog items into logical units of work in engineering
  • Implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
  • Build utilities user defined functions libraries and frameworks to better enable data flow patterns
  • Work with engineering leads and other teams to ensure quality solutions are implemented and engineering best practices are defined and followed
  • Build and incorporate automated unit tests and participate in integration testing efforts
  • Utilize and advance continuous integration and deployment frameworks
  • Troubleshoot data issues and perform root cause analysis
  • Work across teams to resolve operational & performance issues
  • The following qualifications and technical skills will position you well for this role :

  • Bachelors degree in Computer Science or related technical discipline
  • 7 years of experience in large-scale software development 5 years of big data experience
  • Programming experience Python or Scala preferred.
  • Experience working with Hadoop and related processing frameworks such as Spark Hive etc.
  • Experience with messaging / streaming / complex event processing tooling and frameworks
  • Experience with data warehousing concepts SQL and SQL Analytical functions
  • Experience with workflow orchestration tools like Apache Airflow
  • Experience with source code control tools like Github or Bitbucket
  • Ability to communicate effectively both verbally and written with team members
  • Interest in and ability to quickly pick up new languages technologies and frameworks
  • Experience in Agile / Scrum application development
  • The following skills and experience are also relevant to our overall environment and nice to have :

  • Experience with Java
  • Experience working in a public cloud environment particularly AWS databricks
  • Experience with cloud warehouse tools like Snowflake
  • Experience working with NoSQL data stores such as HBase DynamoDB etc.
  • Experience building RESTful APIs to enable data consumption
  • Experience with build tools such as Terraform or CloudFormation and automation tools such as Jenkins or Circle CI
  • Experience with practices like Continuous Development Continuous Integration and Automated Testing
  • These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same :

  • Desire to work collaboratively with your teammates to come up with the best solution to a problem
  • Demonstrated experience and ability to deliver results on multiple projects in a fast-paced agile environment
  • Excellent problem-solving and interpersonal communication skills
  • Strong desire to learn and share knowledge with others
  • Key Skills

    Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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