About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, weve been helping Fortune 500 companies unlock growth with cuttingedge digital solutions that transform industries and create measurable business impact. Were growing fast and were looking for passionate problemsolvers who are ready to turn big ideas into real outcomes. The Opportunity ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform. This role requires strong expertise in Apache Spark, SQL, Python, and cloud platforms (AWS/Azure/GCP). The ideal candidate will collaborate with crossfunctional teams to drive datadriven insights and ensure scalable, highperformance data architectures. What You'll Be Doing Design, implement, and optimize big data pipelines in Databricks. Develop scalable ETL workflows to process large datasets. Leverage Apache Spark for distributed data processing and realtime analytics. Implement data governance, security policies, and compliance standards. Optimize data lakehouse architectures for performance and costefficiency. Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows. Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks. Automate workflows using CI/CD pipelines and infrastructureascode practices. Ensure data integrity, quality, and reliability in all pipelines. What You Bring Bachelors or Masters degree in Computer Science, Data Engineering, or a related field. 5+ years of handson experience with Databricks and Apache Spark. Proficiency in SQL, Python, or Scala for data processing and analysis. Experience with cloud platforms (AWS, Azure, or GCP) for data engineering. Strong knowledge of ETL frameworks, data lakes, and Delta Lake architecture. Experience with CI/CD tools and DevOps best practices. Familiarity with data security, compliance, and governance best practices. Strong problemsolving and analytical skills with an ability to work in a fastpaced environment. Nice to Have Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer). Handson experience with MLflow, Feature Store, or Databricks SQL. Exposure to Kubernetes, Docker, and Terraform. Experience with streaming data architectures (Kafka, Kinesis, etc.). Strong understanding of business intelligence and reporting tools (Power BI, Tableau, Looker). Prior experience working with retail, ecommerce, or adtech data platforms. Salary Range $100,000 - $140,000 Why Youll Love Working at ShyftLabs Hybrid Flexibility: 3 days per week in our downtown Toronto office. This role is also open to candidates based out of the Calgary area. Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one. Growth & Learning: Continuous learning opportunities and influence over technical direction. Inclusion at ShyftLabs Were building something big, and we want you on the journey with us. If youre ready to use data and innovation to make an impact, apply today and lets grow together. ShyftLabs is an equalopportunity employer committed to creating a safe, diverse, and inclusive environment. We encourage applicants of all backgrounds including ethnicity, religion, disability status, gender identity, sexual orientation, family status, age, and nationality to apply. If you require accommodation during the interview process, let us know and well be happy to support you. #J-18808-Ljbffr
Job Title
Data Engineer