Senior AWS Databricks Data Engineer - Hybrid Toronto

Akkodis; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading IT consultancy is seeking a Mid-Senior Level Data Engineer for a contract role in Toronto. Candidates will design, develop, and maintain scalable data pipelines, ensuring data quality and collaborating closely with data scientists. Ideal applicants should have 5+ years of experience, strong SQL skills, and proficiency in Databricks. This hybrid position requires onsite work three days a week, emphasizing a collaborative environment to deliver data solutions effectively.

Qualifications

• 5+ years of experience in data engineering.
• Strong SQL skills and experience with relational databases.
• Proficiency with Databricks and Spark.

Responsibilities

• Design, develop, and maintain scalable data pipelines.
• Collaborate with data scientists to deliver solutions.
• Ensure data quality and integrity across various data sources.

Skills

Databricks

SQL

Python

Data Warehousing

ETL

Hadoop

Kafka

Education

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

Job description

A leading IT consultancy is seeking a Mid-Senior Level Data Engineer for a contract role in Toronto. Candidates will design, develop, and maintain scalable data pipelines, ensuring data quality and collaborating closely with data scientists. Ideal applicants should have 5+ years of experience, strong SQL skills, and proficiency in Databricks. This hybrid position requires onsite work three days a week, emphasizing a collaborative environment to deliver data solutions effectively.