Databricks Data Engineer building scalable ingestion and ETL pipelines for Avanquest’s global software products. Ensuring data quality, lineage, reliability, and optimized storage.
Responsibilities
Design, develop, and implement robust, scalable data processing and ingestion pipelines.
Write, test, and maintain ETL and data-cleaning scripts, particularly in Databricks.
Continuously monitor, maintain, and optimize existing data pipelines to ensure their performance and reliability.
Ensure data lineage and data quality at every stage of processing.
Explore and deploy data storage solutions and tools suited to the team’s needs.
Write and maintain documentation for data engineering processes and standards.
Requirements
In-depth, proven experience with Databricks is required for this role.
Minimum of 5 years of experience in a similar data engineering role.
Degree in computer science, engineering, or a related field.
Strong proficiency in Python and SQL.
Good knowledge of lakehouse concepts and ETL tools.
Knowledge of dbt and cloud platforms is an asset.
Benefits
A flexible hybrid work model, with an office in downtown Montreal and the option to work remotely from abroad.
Competitive compensation that recognizes your value and talent.
Comprehensive insurance coverage for you and your family.
A bonus program that rewards your performance and ambition.
A generous vacation and time-off policy.
Ongoing professional development and investment in your growth.
A stimulating, diverse, and multicultural environment.
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