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Senior Analytics Developer

Posted 21 days agoViewed

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💎 Seniority level: Senior, 5+ years

💸 Salary: 82000.0 - 134000.0 CAD per year

🔍 Industry: Software Development

🏢 Company: SOCi👥 501-1000💰 about 2 years agoAdvertisingFood and BeverageRetailFinancial ServicesMarketingReal EstateProfessional ServicesSoftware

🗣️ Languages: English

⏳ Experience: 5+ years

Requirements:
  • 5+ years of experience working with cloud based data engineering platforms (Airflow, FiveTran, Stitch, etc.).
  • Expert-level proficiency in SQL and hands-on experience with cloud-based data warehouse platforms (e.g., Snowflake, Redshift, BigQuery).
  • Proficiency building transformations and data models using declarative programming (dbt, Snowflake Dynamic Tables, SQLMesh).
  • Strong knowledge of data modeling, schema design, and data governance principles.
  • Experience with “Data Hub” or equivalent open source data catalog platform is a plus.
  • Proficiency in programming languages such as Python or Java.
  • Demonstrated experience optimizing performance and managing complex datasets.
  • Excellent leadership and communication skills, with a proven ability to mentor and guide team members.
Responsibilities:
  • Own the relationship with one or more business team stakeholders for the data team.
  • Collaborate with business teams to identify, document and develop analytic solutions.
  • Collaborate with data analysts, engineers and other stakeholders on data lake models.
  • Develop and maintain data pipelines collecting data from various source systems.
  • Develop and maintain data model transformations for use in analytic models.
  • Ensure data accuracy, quality and consistency with monitoring and validation processes.
  • Maintain our data catalog, and document data pipelines, transformations and models.
  • Monitor, and respond to production incidents in the data lake.
  • Optimize queries, and data engineering activities for performance and cost.
  • Assist in implementing data governance and security best practices.
  • Document processes, workflows, and data definitions to support knowledge sharing.
  • Guide user story breakdown sessions, and contribute to quarterly planning sessions.
  • Provide mentorship and coaching to junior Analytics Engineers.
  • Be willing to adapt to changes in the job description as necessary by the business and accept all other duties as assigned
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