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Data and Analytics Engineer
Data and Analytics EngineerLancesoft • Montreal, QC, CA
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Data and Analytics Engineer

Data and Analytics Engineer

Lancesoft • Montreal, QC, CA
30+ days ago
Job type
  • Full-time
  • Quick Apply
Job description

Experience Level : Level 4 (advanced) : 7-15 years

Location : Montreal (Day 1 onboarding onsite / in office presence 3x week)

What you'll bring to the role :

  • Experience being a practitioner in data engineering or a related field.
  • Design and implement data pipelines and workflows to support analytics and reporting needs.
  • Develop interactive dashboards and reports using visualization tools like Power BI and Tableau.
  • Collaborate with business stakeholders to understand requirements and translate them into data models and visualizations.
  • Utilize Dataiku and other analytics platforms for data preparation, machine learning workflows, and advanced analytics.
  • Ensure data quality, integrity, and security across all analytics solutions.
  • Optimize performance of dashboards and queries for large datasets.
  • Stay updated on emerging trends in data analytics and visualization technologies.
  • Experience working on Snowflake and Databricks (Min one of the two)
  • Knowledge of database systems (SQL and NoSQL)
  • Experience on Snowflake Cortex will be really appreciated.
  • Familiarity with cloud platforms (AWS, Azure) and their data services.
  • Experience using Jupyter notebooks for data exploration, analysis, and visualization.
  • Excellent communication and collaboration skills.
  • Ability to work independently and as part of a geographically distributed team.

Good to have Skills :

  • Familiarity with programming skills in Python
  • Experience with data warehousing concepts and technologies.
  • Familiarity with data governance and security best practices (e.G., data access control, data masking).
  • Experience with Agile methodologies.
  • Familiarity with data catalog and metadata management tools (e.G., Collibra).
  • Familiarity with CI / CD pipelines and DevOps practices.

Personal skills :

  • Integrity and ownership, good team player.
  • Ability to work under time and resource dependencies and constraints.
  • Ability to find simple and effective solutions.
  • High degree of motivation to expand technical and business knowledge

EEO Employer

Minorities / Females / Disabled / Veterans / Gender Identity / Sexual Orientation

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Data and Analytics Engineer • Montreal, QC, CA

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