Data Engineer

Posted Yesterday

Job Details

Contract

Location

Vancouver, BC

Salary

dollar sign 75 to 95 per hour

Job Description

6 month Data Engineer contract role with a growing team.

6-month Data Engineer contract
Great chance to be part of a large-scale business transformation
Hybrid work environment in Vancouver, 3 days a week in office

What & Why:
As a result of growth our client is looking to add a contract data engineer to their growing team. In this role you will provide on-going analytical, Big Data, Machine Learning, and ETL supports to meet the project needs. As a senior data engineer, you will work cross-functionally with data scientists, machine learning engineers, project managers and industry experts to develop robust AI infrastructure and deployment services for our novel machine learning applications. Key to this role is the ability to demonstrate both traditional data engineering expertise, leveraging cloud/enterprise/open-source solutions, and constructing IT infrastructure for the organization. This is a great chance to join a growing team delivering value to the entire organization.

Who:
This client is one of the most recognizable Canadian brands, a true Vancouver success story who has expanded globally. They are well known for their corporate culture and has won major awards for their accomplishments. They have invested majorly in technology and have had an incredibly successful past few years, including a major strategic acquisition. They have an all-star leadership team who keeps you accountable and provides support while still affording you tremendous autonomy. They are located close to rapid transit in newly renovated offices in downtown Vancouver and have a hybrid work arrangement with 3 days a week in office.

You:
You will bring the following education, skills and experience to the role:

7+ years of data engineering experience developing large data pipelines.
4+ years of development experience, experience in the retail industry would be ideal.
4+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
5+ years of experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
3+ years of experience programming languages (e.g. Python, Pyspark), preferred.
3+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
3+ years of experience with Snowflake, Databricks/EMR/Spark & Airflow a plus.
3+ years of experience with notebook-based Data Science workflow.
Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
Good understanding of SQL Engines and able to conduct advanced performance tuning.

Compensation:
This role pays between $75-95 per hour.

Next Steps:
If the sound of this opportunity excites you, and you’re confident that it’s a good fit for your experience and career goals, then we’d love to hear from you! Please send your updated resume to us by applying to this posting and one of our awesome team of recruiters will be in touch.

About Swim Recruiting

SWIM provides Permanent and Contract Recruitment Services in a variety of specializations and industries. Our well established client network includes small businesses right through to large global corporations.