Data Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Engineer: Designing, implementing, and optimizing big data pipelines in Databricks with an accent on scalable ETL workflows and data governance. Focus on collaborating with cross-functional teams to enable advanced AI/ML workflows and ensure data integrity.
Location: Hybrid, 3 days per week in the downtown Toronto office. This role is also open to candidates based out of the Calgary area.
Salary: $100,000 - $140,000
Company
helps Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create measurable business impact.
What you will do
- Design, implement, and optimize big data pipelines in Databricks.
- Develop scalable ETL workflows to process large datasets using Apache Spark.
- Implement data governance, security policies, and compliance standards.
- Optimize data lakehouse architectures for performance and cost-efficiency.
- Collaborate with data scientists, analysts, and engineers to enable advanced AI/ML workflows.
- Monitor and troubleshoot Databricks clusters, jobs, and performance bottlenecks.
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.
Nice to have
- Databricks certifications (e.g., Databricks Certified Data Engineer, Spark Developer).
- Hands-on experience with MLflow, Feature Store, or Databricks SQL.
- Exposure to Kubernetes, Docker, and Terraform.
- Experience with streaming data architectures (Kafka, Kinesis, etc.).
Culture & 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.
- Continuous learning opportunities and influence over technical direction.
- Safe, diverse, and inclusive environment.
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