Intelcom | Dragonfly, a leader in last-mile logistics, is seeking a Data Engineer Lead for a strategic role. This position involves defining specifications, designing data integration flows, improving data organization, developing DevOps practices for data, feeding analytical environments, creating automated data validation requests, and resolving data quality issues. The lead will also contribute to technical documentation, maintain data repositories, seek platform improvements, manage security for analytical platforms, and build a data governance model. Additionally, the role includes prioritizing mandates, defining career paths, supervising, mentoring, and evaluating the data engineering team, and promoting Agile methodology.
Define specifications and requirements for mandates in collaboration with stakeholders.,Design data integration flows using platforms like Snowflake (SQL, Tasks, Stream, Pipe), AWS (Lambda, Kinesis firehose, S3, etc.), and Azure (Data Factory, Azure SQL DB, etc.), and tools such as DBT.,Improve the organization of data to better support different loading frequencies.,Participate in the development of data Dev Ops practice, including automated deployments.,Feed different analytical environments (OPS datamarts, Finance, Sales & Marketing, HR, etc.).,Create automated data validation requests.,Investigate data quality and ETL issues and work to resolve them.,Contribute to the technical documentation of data flows.,Establish and maintain data repositories.,Be on the lookout for possible improvements to the platform and methodology.,Responsible for the different analytical platform from a security (accesses) standpoint.,Build a data governance model for the company with the help of the Data Architect.,Prioritize mandates in collaboration with stakeholders to guarantee business objective fulfillment.,Define career path for each member of the data engineering team and support their growth.,Supervise and mentor the data engineering team.,Evaluate the performance of the data engineering team while promoting career retention, training and growth.,Promote and implement an Agile methodology among the data engineering team.
Advanced skills in Snowflake Data Cloud.,Advanced skills in SQL language, Window functions and recursive queries.,Proficiency in Apache Airflow or equivalent.,Proficiency in cloud computing platforms (AWS, Azure, GCP).,Knowledge of DBT (analytics engineering).,Knowledge of data modeling (Kimball).,Understands the architecture of Power BI services (workspace concepts, dashboards versus reports, Apps, etc.).,Applicable knowledge of languages like Python/R to present more complete visuals (asset).,Sufficient knowledge of the Python language for data integration.,Bachelor’s degree or higher in a relevant field (Information Technology, Data Eng., Masters in BI, mathematics, etc.).,Strong interest in cloud computing technologies and modern platforms.
Bachelor’s degree or higher (Information Technology, Data Eng., Masters in BI, mathematics, etc.)
Adaptable to a fast-paced environment
Intelcom is a leading last-mile carrier in the e-commerce sector, headquartered in Montreal. Driven by a robust technological platform, the company optimizes delivery routes to provide predictable, fast, and simple experiences for consumers. With a vast network of sorting stations across Canada and a growing international presence through its Dragonfly brand, Intelcom manages hundreds of thousands of parcels daily.
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