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Position: Data Engineering Lead/Senior Data Engineer (Retail industry)
Location: Montreal – Hybrid
Location: Montreal – Hybrid
Whether you are a Senior Data Engineer who is ready to transition into a leadership role or a Lead Data Engineer ready to take on a new challenge, this could be the opportunity for you!
This role is focused on leading the development within their current data stack, including Snowflake, DBT, and AWS serverless architecture as well as mentoring and providing technical guidance to data engineers, developers, and analysts.
Key Responsibilities:
– Lead development within current data stack, including Snowflake, DBT, and AWS serverless architecture
– Mentor and provide technical guidance to data engineers, developers, and analysts
– Oversee the design and development of data pipelines to ingest data from various sources and transform raw data into clean and scalable models to support BI and analytics
– Lead the evaluation and implementation of a data orchestration tool (e.g., Airflow, Dagster) to help coordinate and monitor data pipelines and downstream dependencies
– Implement and monitor data quality processes to ensure accurate, reliable, and timely data delivery to users
– Implement processes to monitor and continually re-evaluate the cost and performance of the infrastructure and tools within our data platform
Who We’re Looking For:
– Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field
– At least five years of experience in data engineering or a related field, at least one year as a technical lead
– Expertise in using DBT on top of modern data warehousing technology
– Strong programming skills in Python (or similar languages) with respect to the manipulation and analysis of large data sets
– Strong technical skills in SQL and data modelling
– Strong understanding of how data and technology fit within strategic business objectives
– Ability and willingness to learn new technologies and take on challenges
A bonus, but not required:
– Experience with AWS technologies such as Lambda, API Gateway, and Event Bridge
– Experience with data streaming technologies like Kafka
– Experience working in retail, e-commerce, marketing, and related data sets
If you are ready to take the lead in data engineering and be part of a dynamic, innovative team, please send your resume in Word format to Jen Chaitman at jen.chaitman@quantum-qtr.com.
REFER A PERM HIRE AND EARN $1,000! For more details, click here. Conditions apply.
OUR VIRTUAL DOORS ARE OPEN! We’re also bringing the interviews to you by various web applications, virtually! Contact us today for your next opportunity.
CNESST permit number: AP-2000414
