Software Engineer II

Employer Industry: Grocery Delivery Services

Why consider this job opportunity:

1. Salary up to CAD $155,000
2. Flexible work environment with the option to work remotely several days a week
3. Generous learning and development opportunities, including an annual $1,000 Personal Professional Development stipend
4. Work alongside industry veterans with experience from major tech companies like Google, Meta, and Amazon
5. Make a direct impact on millions of customers, retailers, brands, and shoppers from day one
6. Opportunities available across various software engineering roles, including data, frontend, backend, systems, and more

What to Expect (Job Responsibilities):

1. Design, build, validate, and ship high-quality product features with a strong sense of urgency and ownership
2. Collaborate closely with product managers, designers, data scientists, and engineering teams to define project requirements and execution plans
3. Ensure system designs result in highly scalable, robust solutions that improve customer experience and minimize support costs
4. Develop and maintain highly efficient data pipelines for data ingestion, transformation, and delivery
5. Design and build data models to ensure the collection of high-quality data

What is Required (Qualifications):

1. Recent degree in a technology discipline such as Computer Science, Computer Engineering, or Electrical Engineering
2. 2-4 years of work experience in a technology field post-graduation
3. Experience working with distributed systems
4. Proficiency in programming languages such as Python, Ruby, React, PostgreSQL, and Go
5. Strong sense of ownership and intellectual curiosity to understand problems in depth

How to Stand Out (Preferred Qualifications):

1. Previous experience in a fast-paced startup environment
2. Data Engineering experience, including designing and implementing data pipelines and ensuring data quality
3. Familiarity with NoSQL databases
4. Experience with data streaming and big data technologies such as Apache Spark, Airflow, and Hadoop

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