Are you interested in joining a high-growth company and software team in the Clean Energy industry? Do you want to work with massive amounts of real-time energy data, and the latest technologies in IoT, machine learning, big data, and SaaS?

Our client and it’s people help make the world safer, brighter and more productive. They are a team of builders and doers who share a passion for innovation and a desire to outpace their competition. The organization offers an inclusive workplace, empowers its employees to embrace diversity in all forms, celebrates differences, and treats everyone with equity and respect.

This is a great opportunity to join the client’s clean energy team in their mission to accelerate the adoption of renewable energy and create a more intelligent home!

The goal is to reduce global carbon emissions through the manufacturing and sale of renewable power backup systems. They are looking for Data Engineers to contribute to their technical vision and design and build their data intelligence/machine learning pipeline and cloud data store.

The company has recently experience explosive growth from its start-up origin and they need to scale up their technology while continuing to drive innovation of consumer power electronics. They are growing extremely quickly and looking to build out reliable, robust, IoT systems with feature-rich cloud services.

What will you do?
As a senior member of the team, you will have significant responsibility and influence in shaping its future direction. You will iterate quickly on all stages of data pipeline, extracting, transforming,



loading data and scheduling tasks to bring data intelligence products to production.

You should have deep expertise in the design, creation, management, and business use of large datasets, across a variety of data platforms. You should have excellent business and interpersonal skills to be able to work with business owners to understand data requirements, and to build highly scalable time-series and data lake systems.

Successful candidates will have strong engineering and communication skills, as well as, a belief that data driven processes lead to great products. You will need to have a passion for quality and an ability to understand complex systems.

Above all you should be passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions and drive growth.

As part of this role, you will be required to:

Establish scalable, efficient, automated processes for large scale data analyses, model development, validation and implementation,

specifically productizing ML applications

Propose and validate solutions for batch and real-time streaming solutions

Analyze and extract relevant information from large amounts of streaming data to create an event driven data pipeline.





Work closely with scientists and engineers to create and deploy new features

Ideal Skills

Bachelor’s Degree in Computer Science or related field

Experience building scalable infrastructure software or distributed systems for commercial online services

Production experience with various orchestration, batch processing technologies like Apache Airflow.

3+ years of production experience with Python, experience in Java is a big plus.

3+ years of experience with large scale data warehousing, mining or analytic systems.

3+ years of Expertise in developing big data pipelines using technologies like Kafka or Kinesis

3+ years of Experience with various AWS services (EC2, S3, Lambda, Kinesis, EMR, Redshift)

Production experience with various real time streaming technologies (Flink, Spark, Samza)

What else will you need to be successful?

Background in Machine Learning and productizing Data Intelligence pipelines

Strong knowledge of SQL and NoSQL data stores

Experience with YARN, Kubernetes

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 workplace in driving operational excellence and best practices

Employer RRSP contribution matching

Unlimited vacation (and they genuinely encourage you to use it)

Work-from-home flexibility

Spacious new office in the heart of downtown Vancouver

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📌 Senior Data Engineer – IoT (British Columbia)
🏢 Pearlfisher
📍 British Columbia