Databricks Engineer

Astra North Infoteck Inc.; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A technology company in Toronto is looking for a Databricks Engineer to design and maintain data pipelines. The ideal candidate will have over 5 years of experience in data engineering and proficiency in Databricks and Spark. Responsibilities include optimizing data pipelines and ensuring data quality. This role offers competitive compensation and opportunities for professional growth.

Qualifications

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

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.

Skills

Databricks

Apache Spark

SQL

Python

Data Warehousing

ETL

Hadoop

Kafka

Education

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

Job description

Role

Databricks Engineer

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
• Apache Spark
• SQL
• Python
• Data Warehousing
• ETL
• Hadoop
• Kafka