Senior Data Engineer

Senior Data Engineer

Toronto, ON Full Time

Salary Range : $110,000 - $125,000 CAD annually

Zonda is redefining the future of housing. We are perfectly placed in the heart of the fast-growing real estate industry.

We are making big bets on the future of real-estate, trailblazing a 2030 vision for the industry. Here at Zonda, you’ll be able to use your passion and curiosity to drive the next generation of real estate analysts, advisors, and technologists.

Zonda is looking for a passionate Senior Data Engineer to evolve and expand our team. Zonda looks for people who can grow, think, dream, and create.

When you join our team, you’ll be in a unique position to make a positive impact with every project. You’ll use your full range of skills to build great experiences and learn about the real estate industry, economics, and data.

You’ll be supported with the necessary tools, and you'll be working with an awesome and like-minded team. Our teams are innovative, diverse, multidisciplinary, and collaborative - all working to build the future of housing.

As a Senior Data Engineer, you will play a crucial role in designing, implementing, and optimizing our data infrastructure.

You will be embedded in an application scrum team working on a large-scale application. Your expertise in SQL Server query optimization, Snowflake, and performance tuning will be instrumental in ensuring the efficiency and reliability of our data systems.

Database Design and Development :

• Design and implement robust, scalable, and performance-optimized database solutions using SQL Server and Snowflake.
• Develop and maintain database procedures, schemas, tables, indexes, and views to support application requirements.

SQL Server Query Optimization :

• Analyze and optimize SQL queries for maximum efficiency and performance.
• Identify and resolve performance bottlenecks in database systems through the use of query plans.
• Collaborate with application developers to enhance query performance and database responsiveness.

Data Modeling :

• Work closely with data engineering to design and implement data models that align with business requirements.
• Ensure data integrity and consistency across the database environment.

ETL Processes :

• Design, implement, and maintain ETL processes for efficient data extraction, transformation, and loading.
• Collaborate with cross-functional teams to integrate data from various sources into the SQL Server database.

Monitoring and Maintenance :

• Implement effective monitoring solutions to proactively identify and address potential issues.
• Perform routine maintenance tasks such as backups, restores, data purges, and index de-fragmentation.
• Experience with Unix and Powershell scripting technologies

Collaboration and Documentation :

• Collaborate with cross-functional teams, including data scientists, product analysts, and application developers, to understand data requirements.
• Participate in architectural discussions and technical decision-making processes.
• Effectively communicate technical concepts to non-technical stakeholders.
• Document database design, configurations, and procedures.

Qualifications :

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proven experience as a Data Engineer with a focus on SQL Server and Data Warehouses like Snowflake.
• In-depth knowledge of SQL Server database design, query optimization, and performance tuning.
• Proficiency in writing complex SQL queries and stored procedures.
• Experience with database scalability and writing deep queries accessing large datasets
• Experience with ETL tools and processes (eg. SSIS, Airflow, AWS Glue, Talend, or similar).
• Experience with cloud technologies (S3, EC2, Linux)
• Experience with GitHub and CICD systems
• Experience with database security best practices.
• Excellent problem-solving and analytical skills.
• Effective and proactive communication skills and ability to work collaboratively in a team environment.

Preferred Skills :

• Knowledge of cloud-based database solutions (e.g., Amazon RDS (SQL Server), Azure SQL Database).
• Experience with cloud Orchestration tools (e.g. Airflow, Talend, ADF, etc)
• Experience with other database technologies (e.g., MySQL, PostgreSQL).
• Certification in SQL Server or related technologies.
• Experience of Geo Spatial data and queries

Why People Love Working Here

• We offer meaningful work and opportunities for career growth
• Interesting product roadmap with room for innovation
• Competitive Salary
• Employee Assistance Program (EAP)
• Live Meditation Sessions
• Employee Recognition Platform
• Virtual Wellness Program
• Visionary Leadership Team

Inclusion & Equal Opportunity Employment

Zonda (formerly Hanley Wood Meyers Research) is proud to be an Equal Opportunity Employer committed to diversity, inclusion & belonging.

Here at Zonda, we are interested in every qualified candidate who is eligible to work in Canada.