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Senior Data Analytics Developer

Company

Neo Financial

Address Calgary, Alberta, Canada
Employment type FULL_TIME
Salary
Category Financial Services
Expires 2023-09-15
Posted at 8 months ago
Job Description
Description


At Neo, we’re reimagining everyday financial services from the ground up and shaping the financial future for millions of people in Canada. We’re a tech company consistently pushing for the next best thing, which provides many opportunities to grow and learn personally and professionally. Ready to materialize your passion into a connected purpose? Come join a high-speed startup in a community of high-achieving dreamers and doers, set on innovating the best solutions.


About The Role:


Neo Financial has an opportunity for a Senior Data Analytics Developer to join our team in Calgary, AB.


We believe that data is a competitive advantage for Neo. As a Senior Data Developer, you’ll play a pivotal role in setting the technical direction for Neo’s data platform and building out key systems and solutions with data at the core.


We use a cloud-based, modern data architecture in our everyday work, including many state of the art tools and technologies. But we believe that a great data engineer with great developer fundamentals can learn any tech.


What you’ll be doing:


  • Develop automated testing for all your projects, ensuring that your solutions are high quality when released, but also helping avoid regressions over time.
  • Lead standup meetings, retrospectives, or technical reviews of product stories
  • Actively make an effort to teach others, mentor the team, collaborate, and be involved.
  • Be an expert with databases including SQL and NoSQL varieties; you should be a master of building and optimizing complex SQL queries.
  • Developing test cases and validations to ensure high-quality data products
  • Providing input and subject-matter expertise on future data products
  • Build solutions using our high-tech data platform that includes Dbt, Snowflake, Apache Spark, Airflow, Kafka, AWS and Databricks (plus more).
  • Develop patterns, abstractions, libraries, templates and other standards to help the team move fast and avoid reinventing the wheel.
  • Own projects and systems in production, ensuring they are operating to the highest standards and meeting challenging SLAs.
  • Working with product teams to define and capture data modeling requirements
  • Perform code reviews to ensure that the work done by the team meets the highest standards and best practices.
  • Write Python or SQL code for most projects, including automated tests.


What we are looking for:


  • Ability to leverage development best practices throughout your work - like source-control, automated testing, CI/CD deployment pipelines, code reviews, etc.
  • Applicants must be eligible to work in Canada and willing to relocate
  • 2+ years of experience in data modeling in an enterprise data warehouse setting.
  • Experience using Dbt, Airflow, s3, and Databricks are highly important.
  • Expertise configuring and using modern Business Intelligence / Analytics services
  • 3+ years of experience creating and maintaining mission-critical reports and dashboards.
  • 5+ years of strong experience with SQL and Python (or similar languages)
  • Strong leadership behaviours including giving confident feedback, presenting solution plans to executives, or participating in mentorship activities every day.
  • Comfortable building solutions in cloud-based environments like AWS, Azure, or similar.


About applying with us:


At Neo, you’ll be working with industry-leading technology that changes the way we live and redefines Canada’s financial future. It’s a serious deal, and we’re building a high performance, mission-driven, and fast-paced team that strives to make a difference in every Canadian's life. We value personal growth, autonomy, leadership at all levels, and the ability to learn quickly from mistakes. We’re a team: in it together, always. Join a world class team building truly disruptive technology, right here in the Canadian prairies.