Job Title: Senior Developer, Data Engineering
Location: Richmond Hill, Ontario (Hybrid Remote)
Job Type: Full-Time
Key Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
- Optimize and manage data storage solutions, ensuring data is stored efficiently and securely.
- Implement data quality checks and monitoring to ensure the accuracy and reliability of data.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Develop and maintain documentation for data engineering processes and systems.
- Stay up to date with the latest industry trends and technologies in data engineering and recommend improvements to existing systems.
- Mentor and provide guidance to members of the data engineering, business intelligence and data science teams
Qualifications:
- Bachelor’s or master’s degree in computer science, Engineering, a related field or equivalent experience
- 7+ years of experience in data engineering or a related field.
- Strong expertise in SQL and experience with relational databases, preferably Snowflake and/or Microsoft SQL Server with an emphasis on analytical and ETL use cases.
- Strong experience building cloud-native solutions using AWS Lambda, ECS and EMR and deploying these services using infrastructure as code tools. Preference given to candidates with experience with Terraform
- Strong programming skills in Python or another programming language commonly used in data engineering.
- Experience with data pipeline and workflow management tools, preferably Apache Airflow or other dependency graph-based orchestration tools
- Familiarity with cloud-based data storage and processing solutions, preferably AWS
- Knowledge of dimensional modelling techniques and data warehouse schema design
- Experience working with Git, CI/CD pipelines for database schema evolution and environment management
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills.
Preferred Qualifications:
- Experience with data modeling and schema design.
- Knowledge of data governance and data security best practices.
- Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with machine learning and data science concepts.
The pay range that the employer reasonably expects to pay for this position is between CA$90.00 and CA$100.00
Our voluntary benefits offering includes medical, dental, vision and retirement benefits.
Applications will be accepted on an ongoing basis.
Tundra Technical Solutions would like to thank you for the interest you have demonstrated in this opportunity. However, only candidates with the required skills will be contacted.
Tundra Technical Solutions is an Equal Opportunity/Affirmative Action Employer. We welcome and encourage diversity in our workplace.
Not interested in this position, but know somebody who might be? Check out our Referral Reward Program, referrals are a big secret behind our success. As always, we’re on the lookout for great people. And we know that you know great people!
Tundra Technical Solutions is among North America’s leading providers of Information Technology and Engineering staffing and consulting services. Our success and our clients’ success are built on a foundation of service excellence. Rather than continually trying to sell to new clients and companies and simply filling databases with candidates, we focus on developing stronger relationships and deeper knowledge of our existing clients’ challenges and opportunities.
Open ears. Open minds. Open futures