Data Engineer Snowflake / Databricks
Offre en anglaisJob Title: Application Developer – Snowflake / Databricks / Python / SQL Location: Montreal, QC Key Responsibilitie s• Design, develop, and maintain scalable data solutions using Snowflake and Databricks .• Build and optimize ETL/ELT pipelines for structured and unstructured data processing .• Develop high-quality Python applications, automation scripts, APIs, and data integration services .• Write complex SQL queries, stored procedures, views, and performance-tuned data transformations .• Implement data models, data quality controls, validation frameworks, and reconciliation processes .• Co…
- Sur place
- QUEBEC
- Publié 27 juill. 2026
- Postuler avant le 26 août 2026
- 1 poste
Résumé du poste
Job Title: Application Developer – Snowflake / Databricks / Python / SQL Location: Montreal, QC Key Responsibilitie s• Design, develop, and maintain scalable data solutions using Snowflake and Databricks .• Build and optimize ETL/ELT pipelines for structured and unstructured data processing .• Develop high-quality Python applications, automation scripts, APIs, and data integration services .• Write complex SQL queries, stored procedures, views, and performance-tuned data transformations .• Implement data models, data quality controls, validation frameworks, and reconciliation processes .• Collaborate with business analysts, data engineers, architects, and application teams to deliver end-to-end solutions .• Monitor, troubleshoot, and optimize data pipelines and application performance .• Support CI/CD deployments, testing, release management, and production support activities .• Ensure solutions meet security, governance, audit, and regulatory requirements .• Contribute to cloud modernization initiatives and data platform enhancements . Technical Skil ls• Strong experience with Snowflake Data Clou d.• Hands-on experience with Databricks and Apache Spar k.• Advanced Python programming skills (Pandas, Pyspark, NumPy, REST APIs ).• Expert-level SQL development and query optimizatio n.• Experience building ETL/ELT solutions and data pipeline s.• Good understanding of data warehousing, dimensional modeling, and data lake architectur e.• Experience with cloud platforms such as Azure, AWS, or GC P.• Knowledge of Git, CI/CD pipelines, and Agile development practice s.• Experience troubleshooting performance issues across databases and distributed environment s. Preferred Ski lls• Experience with Snowpark, Cortex AI, or Databricks AI capabiliti es.• Knowledge of orchestration tools such as Airflow or Azure Data Facto ry.• Familiarity with Kafka, streaming data, or event-driven architectur es.• Experience with Power BI, Tableau, or other analytics/reporting platfor ms.• Understanding of financial services or enterprise data platfor ms. Key Competen cies• Strong problem-solving and analytical ski lls.• Excellent communication and stakeholder management abilit ies.• Passion for automation, performance optimization, and continuous improvem ent.
Ce que vous ferez
Design and maintain scalable data solutions and ETL/ELT pipelines using Snowflake and Databricks. Develop Python applications and complex SQL transformations while ensuring data quality and security compliance.
Exigences
Requires expert-level SQL and advanced Python skills with hands-on experience in cloud data platforms and distributed environments. Proficiency in data lake architecture, dimensional modeling, and CI/CD practices is essential.
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Snowflake
- Databricks
- Python
- SQL
- Apache Spark
- ETL/ELT
- Pandas
- PySpark
- Data Modeling
- Azure
- AWS
- GCP
- Git
- CI/CD
- Agile
- Data Warehousing
Renseignements supplémentaires
- Expérience minimale
- 5+ ans
- Postuler avant le
- 26 août 2026