Tags: jd Neurio DataEngineer

• Data Engineer - Neurio - Vancouver, British Columbia, Canada - 2873 :website:
• Archived JD

<span class=“timestamp-wrapper”><span class=“timestamp”>[2020-09-03 Thu 18:11]</span></span>

JD

Company Generac Power Systems

Name Data Engineer - Neurio

Req # 55199

Location TBD

Employment Type Full Time

Shift 1st

Are you interested in joining a high-growth company and software team in the Clean Energy industry? Do you want to work huge data sets and loves datasets together to answer business questions and drive growth?

Come join the Clean Energy Team in our mission to accelerate the adoption of renewable energy and create a more intelligent home!

Neurio, a subsidiary of Generac Power Systems, is looking for a Data Engineer to iterate quickly on all stages of data pipeline, including bringing data intelligence products to production.

This position in based in Vancouver, BC, Canada.

Our software combines intermittent energy sources like solar with residential storage systems in order to build a reliable, environmentally sustainable electricity grid. Our applications help homeowners control their appliances and renewable energy sources for energy savings, help them manage and understand their homes’ energy consumption, help installers manage large fleets of devices, and much more.

What will you do?

• Analyze and extract relevant information from large amounts of streaming data to create an event driven data pipeline
• Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation, specifically productizing ML applications
• Propose and validate solutions for real time streaming solutions
• Work closely with scientists and engineers to create and deploy new features

What will you be required to have?

• Production experience with various real time streaming technologies (Flink, Spark, Samza, etc.)
• 3+ years of Production Experience with Java/Scala and Python
• 1 year of expertise in developing big data pipelines using technologies like Kafka or Kinesis
• 1 year of experience with large scale data warehousing, mining or analytic systems.
• 1 year of experience with various AWS services (EC2, S3, Lambda, Kinesis, EMR, Redshift etc.)
• Experience building scalable infrastructure software or distributed systems for commercial online services
• Strong knowledge of SQL and NoSQL? data stores
• Experience with YARN, Kubernetes
• Experience with orchestration tools such as Apache Airflow

What else will you need to be successful?

• Background in Machine Learning and productizing Data Intelligence pipelines
• Strong communication skills and commitment to teamwork
• Sharp analytical abilities and proven design skills
• Strong sense of ownership, urgency, and drive
• Proven leadership abilities in an engineering environment in driving operational excellence and best practices

Why work for us?

• Comprehensive medical benefits
• Employer RRSP contribution matching
• Unlimited vacation (and we genuinely encourage you to use it)
• Work-from-home flexibility
• Spacious new office in the heart of downtown Vancouver

“We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law"

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