ShyftLabs is seeking a skilled Data Engineer to support in designing, developing, and optimizing big data solutions using the Databricks Unified Analytics Platform.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of hands-on 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 problem-solving and analytical skills with an ability to work in a fast-paced environment.
Benefits
- Hybrid Flexibility: 3 days per week in our downtown Toronto office.
- 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.