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Senior Data Engineer
Senior Data EngineerScalePad • Vancouver, British Columbia, Canada
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Senior Data Engineer

Senior Data Engineer

ScalePad • Vancouver, British Columbia, Canada
30+ days ago
Job type
  • Full-time
Job description

Were Hiring!

Were looking for brilliant thinkers to join our #Rocketeers. If youve ever wondered what its like to work in a place where people enjoy their work and where talent is more important than the title then keep reading.

What is ScalePad

ScalePad is a market-leading software-as-a-service (SaaS) company with headquarters in Vancouver Toronto Montreal and Phoenix AZ. However we are proud to say our employee reach is now global so we can best serve our partners all over the world.

Our success is no accident : ScalePad provides MSPs of every size with the knowledge technology and community they need to deliver increased client value while navigating the continuously changing terrain of the IT landscape. With a suite of integrated products that automate and standardize MSPs operations analyze and uncover new opportunities and expand value to clients ScalePad is equipping the MSP adventure.

ScalePad has received awards such as MSP Todays Product of the Year G2s 2024 Fastest Growing Product and 2024 Best IT Management 2023 it was named a Best Workplace in Canada by Great Place to Work. ScalePad is a privately held company serving over 12000 MSPs across the globe.

You can contribute to our innovation and appreciate how your work is helping take this company to a higher level of operational maturity. More on that

here.

Your mission should you choose to accept it.

As a Senior Data Engineer your mission is to drive the evolution of our business intelligence data management and operational solutions. Your active involvement in developing innovative approaches will ensure our scalability aligns seamlessly with our vision for growth. Collaborating closely with Data Scientists Business Analysts and Software Engineers you will contribute to the creation of exceptional solutions. Our collaborative work environment values your input as it plays a pivotal role in our continuous innovation process. This unique opportunity empowers you to engage in every aspect of the data engineering cycle with the guidance and resources needed to learn optimize advance and grow every quarter.

Responsibilities.

  • Familiarize yourself with our current initiatives teams and operational workflows to seamlessly integrate into ongoing projects.
  • Master our technology architecture gaining a deep understanding of our systems and infrastructure.
  • Gain insight into our business operations structure needs and cycles to align your work with organizational goals.
  • Join a new development team and kick-off major projects.
  • Collaborate closely with data scientists to enable their projects with robust data engineering solutions.
  • Work on data lake and data warehouse solutions optimizing data storage and retrieval processes.
  • Develop solutions that seamlessly connect different departments fostering efficient data flow and information sharing.
  • You have autonomy in your ability to manage and prioritize your tasks with an innate ability to shift gears when required.
  • You are a sponge when it comes to learning and excel even when outside your comfort zone.
  • Maintain an unwavering commitment to the quality of your work and that of your teammates upholding high standards.
  • Embrace a learning mindset excelling even outside your comfort zone and staying updated on industry trends.
  • Possessing experience in OLAP databases artificial intelligence machine learning and event sourcing is considered an asset.
  • Provide mentoring and support more junior data engineers
  • Help with technical architecture and project planning for complex data-driven features

Qualifications.

  • 5-7 years of hands-on Data Engineer experience with a strong track record of delivering data solutions.
  • Proficiency in Python R C# or equivalent programming languages for crafting data solutions.
  • Strong knowledge of SQL and NoSQL solutions.
  • Familiarity with Agile development methodologies.
  • Experience in conceptual business and analytical data modeling.
  • Proficiency in Databricks PySpark and DBT.
  • Experience with data ingestion tools like Fivetran Airbyte and Airflow.
  • Deep understanding of data pipelines including ETL processes.
  • Commitment to best practices for efficient data pipelines data quality and integrity.
  • Passion for Big Data data mining artificial intelligence and machine learning.
  • Curious mindset love for learning and strong problem-solving skills.
  • Ability to collaborate with business stakeholders to clarify data requirements and develop models.
  • Strong focus on practical and valuable solutions for end-users.
  • Agile and iterative approach to work with the ability to recognize and rectify mistakes.
  • What Youll Love Working As A Rocketeer :

  • Everyones an Owner : Through our Employee Stock Option Plan (ESOP) each team member has a stake in our success. As we scale your contributions directly shape our future and you share in the rewards.
  • Growth Longevity and Stability : Benefit from insights and training from our leadership and founder whose extensive experience in funding and scaling successful software companies creates a stable environment for your long-term career growth. Their proven track record fosters a culture of lasting success.
  • Annual Training & Development : Every employee receives an annual budget for professional development empowering you to advance your skills and career on your terms.
  • Hybrid Flexibility : Enjoy a world-class office at our headquarters in downtown Vancouver Toronto and Montreal
  • Cutting-Edge Gear : Whether in the office or at home youll be set up for success with top-of-the-line hardware.
  • Wellness at Work : Our Vancouver office features a fitness facility outdoor ping-pong tables
  • Comprehensive Benefits : Weve got you covered with an extensive benefits package with 100% medical and dental coverage fully employer-paid RRSP matching after one year of employment and even a monthly stipend to help offset the costs of the hybrid experience.
  • Flexible Time Off : With our unlimited flex-time policy in addition to all accrued vacation allows you to take the time you need to recharge and thrive.
  • Dream jobs dont knock on your door every day.

    ScalePad is not your typical software company. When we hire you we arent just offering you a job but rather we are committing to investing in both you and your long-term career. Youll help shape how this modern SaaS company operates and make a genuine impact on the future of our people product and partners.

    At ScalePad we believe in the power of Diversity Equity Inclusion and Belonging (DEIB) to drive innovation collaboration and success. We are committed to fostering a workplace where every individuals unique experiences and perspectives are valued and where employees from all backgrounds can thrive. Our dedication to DEIB is woven into the fabric of our culture guiding our actions and decisions as we build a stronger and more inclusive future together.

    Join us and be part of a team that celebrates differences embraces fairness and ensures that everyone has an equal opportunity to contribute and grow. Together were creating an environment where diverse voices are not only heard but also amplified where everyone feels valued and where we can all achieve our full potential.

    Please no recruiters or phone calls.

    Required Experience :

    Senior IC

    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

    Monthly Salary Salary : 120000 - 130000

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    Senior Data Engineer • Vancouver, British Columbia, Canada

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