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Senior Data Engineer

2 weeks ago


New Canada Retailogists Full time

About the RoleWe are looking for a Senior Data Engineer to be embedded with one of our primary clients for a long term, full-time engagement. You'll be responsible for designing and maintaining scalable data pipelines, enabling analytics, and contributing to a robust data platform that supports BI and AI workloads. You may also be expected to collaborate in academic partnerships and with industry leaders to drive innovation and knowledge exchange.Responsibilities Design, develop, and optimize scalable data pipelines using PySpark and related distributed frameworks. Build and maintain high-quality ETL/ELT pipelines across diverse data sources using AWS services. Model and transform data for analytics use cases across data lakes, warehouses, and semantic layers. Implement robust data validation and quality processes to ensure data integrity. Support BI and analytics workflows, including metric definitions, modelling, and dashboard development. Collaborate in an agile environment with data architects, analysts, scientists, product owners, and scrum teams to deliver end-to-end data & AI products. Work directly with clients to deliver complete data solutions, insights, and reports. Participate in academic and industry collaborations to align data strategies with emerging trends. Required Skills & Experience Strong proficiency in SQL, data analysis, and PySpark (or equivalent distributed processing frameworks). Deep understanding of ETL/ELT, data lakes, data warehousing, and orchestration workflows. Hands-on experience with AWS data and analytics services (e.g., S3, Glue, Lambda, Step Functions). Advanced SQL skills for building efficient, scalable queries over large datasets. Ability to translate business requirements into reliable technical solutions with a focus on data quality. Strong interest in analytics and BI; this role includes substantial analytics engineering work. Excellent communication and teamwork skills. Preferred Qualifications Bachelor's or Master's degree in Computer Science, Software Engineering, or related fields. 5+ years of professional experience in data engineering with strong analytical foundations. Experience with at least one BI tool (e.g., Metabase, Looker Studio, PowerBI, Tableau). Familiarity with retail/fashion/wholesale domains, ERP systems (SAP ECC/S4HANA, CDS Views), and supply-chain processes. Experience with cloud-native data platforms (BigQuery, Snowflake, Redshift). Familiarity with dbt and semantic-layer modelling. Experience working in agile product teams and collaborating on academic or industry projects.