Data Engineer - Snowflake

Capgemini • Montreal, QC

1d • CA$79,000 - CA$101,000 • Onsite

About The Position

We are seeking a highly motivated Data Engineer with strong expertise in Snowflake Databricks Python and SQL to design develop and support scalable data and analytics solutions The ideal candidate will have experience building data pipelines optimizing largescale data processing workloads and developing cloud native applications that support business critical reporting analytics and operational processes

Requirements

• Strong experience with Snowflake Data Cloud
• Hands-on experience with Databricks and Apache Spark
• Advanced Python programming skills Pandas Pyspark NumPy REST APIs
• Expert level SQL development and query optimization
• Experience building ETLELT solutions and data pipelines
• Good understanding of data warehousing dimensional modeling and data lake architecture
• Experience with cloud platforms such as Azure AWS or GCP
• Knowledge of Git CICD pipelines and Agile development practices
• Experience troubleshooting performance issues across databases and distributed environments
• Experience with Snowpark Cortex AI or Databricks AI capabilities
• Knowledge of orchestration tools such as Airflow or Azure Data Factory
• Familiarity with Kafka streaming data or event driven architectures
• Experience with Power BI Tableau or other analytics reporting platforms
• Understanding of financial services or enterprise data platforms
• 5+ years of software application development experience
• 3+ years of experience with Snowflake and cloud based data platforms
• 2+ years of hands-on Databricks Spark development experience
• Proven track record delivering largescale data and analytics solutions
• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management abilities
• Passion for automation performance optimization and continuous improvement.

Responsibilities

• 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 CICD 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

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed