About the opportunity:The Data Engineer is responsible for designing, developing, testing, documenting and optimizing up-to-date data architectures that power business analytics and AI-driven solutions. You will collaborate with key IT stakeholders in software development, business analysts and other areas to build scalable solutions to transform data into key insights. You will be responsible for ensuring the business has access to reliable, accurate metrics that can scale with our company’s growth.The attributes we are looking for:Application, database and Data Pipeline DevelopmentDesign and build scalable data pipelines using AWS services like AWS Glue, Amazon Redshift, and S3.Develop efficient ETL processes for data extraction, transformation, and loading into data warehouses and lakes.Create and manage applications using Python, SQL, Databricks, and various AWS technologies.Quickly develop innovative Proof-of-Concept (POC) solutions and services to address emerging needs.Provide Run/DevOps support and manage the ongoing operation of data services.Automate repetitive tasks and build reusable frameworks to improve efficiency.Ensure that data services are reliable, maintainable, and seamlessly integrated with existing systems.Optimize performance of queries, pipelines, and storage systems for scalability and efficiencyMonitoring and troubleshootingDetect issues in pipelines, fix failures, and ensure smooth data flow.Ensure the business has access to reliable and accurate metrics.Ensure Data Security and ComplianceEnsures compliance with Lactalis’s data policies and regulatory standards, controls access and protects sensitive data against breaches.Partner closely with product managers, data scientists,



business analysts to deeply understand data needs and deliver solutions that are both technically sound and highly relevant to their objectivesWhat you will bring:Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s preferred).AWS Data Engineering certification is an asset3+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics rolesProficiency in designing and implementing Data Pipeline on AWS using native and configurable AWS servicesStrong experience with AWS Services: S3, Lake Formation, Glue, EMR, EC2 Athena, Lambda, EventBridge, SNS, SQSProficiency in SQL, Python and Spark for Data Engineering tasksExperience in CI/CD development and deploymentStrong understanding of Data Lake architecture, data governance and security best practicesStrong understanding of data science principles to support the requirements for machine learning workflows, feature engineering, and model deploymentExcellent design and troubleshooting skillsGood communication skills, both verbal and writtenWhat Lactalis will offer:A Performance-Based Bonus System4 Weeks of VacationA Pension Program with an Employer Match at 100% of up to 6%Tuition reimbursement plan of up to $3,000/yearA Volunteer Day to give back to your communityLearning and Development opportunitiesA commitment to internal career advancement with potential for international mobilityDEI Commitment:We apply an equal access to employment program and invite women, aboriginal people, visible minorities, and people with disabilities to apply.Note: Lactalis Canada does not conduct credit or background checks through LinkedIn. If required, we’ll contact you after signing a Job Offer.Compensation:Base salary range:$88,400 – $110,500+Please note: Along with a comprehensive Total Rewards package, your actual base salary will be fair, competitive, and be based on your skills, experience, and qualifications.#J-18808-Ljbffr

📌 It Data Engineer - $88,400 - $110,500 A Year (Winnipeg)
🏢 Lactalis
📍 Winnipeg