AWS Databrciks Engineer

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

Location: Toronto, ON Hybrid (3 days Onsite- Tue, Wed, Thursday)

Total Experience: 8-10 Years

AWS: 5 Years

Databricks: 1-2 Years.

Note: Citizens or PR only considered for the TCS role, sorry, OWP won't work.

Responsibilities

• Design, develop, and maintain scalable and robust data pipelines on Databricks.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Optimize and troubleshoot existing data pipelines for performance and reliability.
• Ensure data quality and integrity across various data sources.
• Implement data security and compliance best practices.
• Monitor data pipeline performance and conduct necessary maintenance and updates.
• Document data pipeline processes and technical specifications.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in data engineering.
• Proficiency with Databricks and Spark.
• Strong SQL skills and experience with relational databases.
• Experience with big data technologies (e.g., Hadoop, Kafka).
• Knowledge of data warehousing concepts and ETL processes.
• Excellent problem-solving and analytical skills.

Skills

• Databricks
• SQL
• Python
• Data Warehousing
• ETL
• Hadoop
• Kafka

Seniority level

Mid-Senior level

Employment type

Contract

Job function

• Information Technology
• Banking