Data Engineer

Posted A month ago

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Job Details

Full Time

Location

Vancouver, BC

Salary

dollar sign 110,000 to 120,000 per year

Job Description

Become a Data Engineer supporting data systems and infrastructure for a global company in Vancouver:

Contribute to the on-going success of complex organization vital to the global economy
Be part of a strong, stable organization with a truly caring team environment resulting in exceptionally long tenure levels
Join at a time of exciting growth where you can grow your career as our client launches new data platforms
The position is hybrid with 3 days a week on-site.

What & Why:

SWIM Recruiting is seeking a full-time Data Engineer to join our client in Vancouver. Your experience supporting enterprise-level data infrastructure will play a vital role during a time of exciting global growth for our client. You’ll not only provide day-to-day operational support but also be taking on complex new projects.

You:

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

Around 5 years of experience in a Data Engineer role within an enterprise analytics team.
Experience with deployments to Databrick and strong SQL and Azure Data Factory experience are must
Strong communication skills and ability to collaborate with non-technical members
Growth mindset – willingness to continuously learn and grow
Additional experience with Python, SSIS, SSAS, SSRS, Data Lake, and PowerBI are nice-to-have

Compensation:

The annual salary range for this role is $110,000 to $120,000.

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.