At a Glance
- Tasks: Deliver impactful data projects using Snowflake, dbt Cloud, and AWS technologies.
- Company: Join a forward-thinking company in Markham, ON, focused on data innovation.
- Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Dynamic, fast-paced environment with a commitment to inclusivity and career advancement.
- Why this job: Make a real difference in data solutions while working with cutting-edge tech.
- Qualifications: 7 years of experience in data engineering and proficiency in multiple programming languages.
The predicted salary is between 103500 - 126500 $ per year.
A Data Engineer - DBT Cloud and Snowflake is responsible for delivering high impact data projects, working with Snowflake, dbt Core/Cloud, AWS Cloud Technologies, and multiple programming languages to build performant, reusable, and maintainable data solutions.
Responsibilities
- Deliver over 10 high impact data projects from inception through warranty.
- Design, develop, and maintain data solutions using Snowflake, dbt Core/Cloud, and AWS Cloud Technologies.
- Develop and maintain code in multiple programming languages such as Python and Java.
- Work with relational databases including Snowflake, PostgreSQL, and Amazon Aurora.
- Utilize tools such as Snowsight and Streamlit.
- Write and optimize SQL, Python, Shell, and Terraform code with a strong focus on performance, reusability, and maintainability.
- Provide strong technical and business presentations.
- Identify and address gaps in data designs and processes with both internal and external stakeholders.
- Use orchestration tools like Zena and AWS Managed Airflow for pipeline orchestration.
- Thrive in fast paced, ambiguous, and high pressure environments.
- Communicate insights effectively using tools such as Qlik and SAP BusinessObjects.
Qualifications
- 7 years of professional experience delivering over 10 high impact data projects from inception through warranty.
- 5 years of experience with Snowflake, dbt Core/Cloud, and AWS Cloud Technologies.
- 5 years of experience with coding in multiple programming languages such as Python and Java.
Required Skills
- Extensive Experience: 7 years of professional experience delivering over 10 high impact data projects from inception through warranty.
- 5 years of experience with Snowflake, dbt Core/Cloud, and AWS Cloud Technologies.
- 5 years of experience with coding in multiple programming languages such as Python and Java.
- Deep knowledge of relational databases: Snowflake, PostgreSQL, Amazon Aurora.
- Skilled in tools such as Snowsight and Streamlit.
- Proficiency in SQL, Python, Shell, and Terraform with a strong focus on performance, reusability, and maintainability.
- Strong technical and business presentation skills.
- Ability to identify and address gaps in data designs and processes with both internal and external stakeholders.
- Hands on experience with orchestration tools like Zena and AWS Managed Airflow.
- Resilience and Adaptability: Proven ability to thrive in fast paced, ambiguous, and high pressure environments.
Mandatory Skills
- Snowflake AI/ML, Snowflake-Data Science.
Preferred Skills
- Qlik and SAP BusinessObjects to communicate insights effectively.
We are committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by applicable law.
Data Engineer in Markham employer: Enterprise Solutions Inc.
Enterprise Solutions Inc. is an exceptional employer located in the vibrant city of Markham, Ontario, offering a dynamic work culture that fosters collaboration and innovation. With a strong emphasis on employee growth, we provide ample opportunities for professional development and skill enhancement, ensuring our team members thrive in their careers. Join us to be part of a supportive environment where your contributions are valued, and you can make a meaningful impact in the insurance technology sector.
