Hybrid Databricks Data Engineer Lakehouse

TEEMA; Toronto; Hybrid; CAD 95,000 - 120,000; Full time

Job summary

A leading data solutions company is seeking a Data Engineer to develop and maintain data pipelines using Databricks in a hybrid work environment. The ideal candidate should have at least 4 years of data engineering experience, proficiency in Python, and a solid understanding of AWS services. This role involves collaborating with cross-functional teams to build data solutions that meet security and compliance standards. Salary ranges from $95,000 to $120,000.

Qualifications

• 4+ years of experience in data engineering is required.
• 1+ years of hands-on experience with Databricks platform.
• Experience with Delta Lake and Lakehouse architecture required.

Responsibilities

• Develop and maintain data pipelines using Databricks Lakehouse.
• Implement ETL/ELT workflows using Spark (Python) in Databricks environment.
• Participate in code reviews and documentation efforts.

Skills

Python programming

Databricks platform

Spark

AWS services (S3, Glue)

Data modelling

SQL

Agile methodologies

CI/CD for data pipelines

Education

Bachelor's degree in Computer Science, Engineering, or related field

Job description

A leading data solutions company is seeking a Data Engineer to develop and maintain data pipelines using Databricks in a hybrid work environment. The ideal candidate should have at least 4 years of data engineering experience, proficiency in Python, and a solid understanding of AWS services. This role involves collaborating with cross-functional teams to build data solutions that meet security and compliance standards. Salary ranges from $95,000 to $120,000.