Location: Montreal / Hybrid / FACE TO FACE IS MANDATORY - LOCAL CANDIDATES
"Skills Requirement:
- Strong experience with relational databases such as Sybase, DB2, and Snowflake.
- Proficient in Python for data processing and automation tasks.
- Experience with any reporting tools such as Power BI, Crystal Reports, and SSRS.
- Solid understanding of data modeling, stored procedures, and SQL query optimization.
- Familiarity with Unix/K-Shell scripting.
- Knowledge of financial services, particularly investment banking or trading operations.
- Exposure to Agile development methodologies and collaborative team environments.
- Strong communication skills for working with stakeholders and cross-functional teams.
Responsibilities
- Design and implement scalable data solutions using Snowflake and other RDBMS platforms.
- Develop and optimize stored procedures, views, and complex SQL queries.
- Collaborate with business stakeholders to gather requirements and translate them into technical solutions.
- Build and maintain reporting dashboards using Power BI or other reporting tools.
- Perform data analysis, profiling, and validation to support business decisions.
- Participate in Agile ceremonies and contribute to sprint planning, reviews, and retrospectives.
- Support UAT and production deployments, ensuring data integrity and performance.
- Document technical designs and maintain solution documentation as per project standards.
Preferred Qualifications
- 5+ years of experience in database development and data engineering.
- Hands-on experience with Snowflake and Python in a production setting.
- Experience in financial domain projects, especially involving trade lifecycle or regulatory reporting.
- Knowledge of data governance, data lineage, and metadata management.
- Familiarity with cloud platforms (Azure, AWS) is a plus.
- Certification in Snowflake or related technologies is an advantage."