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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 |
Description
- 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.
- 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.
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