This role involves hands‑on development, data pipeline creation, and close collaboration with stakeholders across the organization. We are looking for a self‑starter with strong execution skills and the ability to work independently — someone who can execute on the current strategy while actively contributing to its evolution. This position provides specialist data analysis and expertise to drive decision‑making and business insights, including crafting data pipelines, implementing data models, optimizing data processes, and applying machine learning and AI‑based techniques. WHAT YOU'LL BRING TO THE ROLE Programming skills in Python and experience as a practitioner in data engineering or a related field. Ability to design and implement data pipelines and workflows to support analytics and reporting needs. Experience developing interactive dashboards and reports using Power BI and Tableau. Ability to collaborate with business stakeholders to translate requirements into data models and visualizations. Experience with Dataiku and other analytics platforms for data preparation, machine learning workflows, and advanced analytics. Strong commitment to data quality, integrity, and security across all analytics solutions. Ability to optimize dashboard and query performance for large datasets. Experience working on Snowflake and/or Databricks (at least one required). Knowledge of database systems — SQL and NoSQL. Experience with Snowflake Cortex is a strong asset. Familiarity with cloud platforms (AWS, Azure) and their data services. Experience using Jupyter notebooks for data exploration, analysis, and visualization. Excellent communication, collaboration, and ability to work within a geographically distributed team. GOOD TO HAVE Experience with data warehousing concepts and technologies. Familiarity with data governance and security best practices (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, ownership, and a strong team‑player mindset. Ability to work under time and resource constraints. Ability to find simple and effective solutions. High motivation to expand both technical and business knowledge. #J-18808-Ljbffr
Data And Analytics Engineer
AMARIS CONSULTING
montreal (administrative region), montreal (administrative region)
Published 17 days ago
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