SkyHive in Vancouver is looking for a Full-time Data Engineer on SkyHive

Data Engineer

JOB Information

intermediate Level
Full-time Job
Posted on: August 29, 2019
Commensurate with Experience

Employer Information

Vancouver, BC V6C 1V5, Canada

Job Offer Details

required optional Skills

Data Mining Data Science Communication Computer Programming Data Analysis Data Model Testing Database Administration Database Architecture Database Management Systems Statistical Analysis

Tools

Amazon Web Services MongoDB

Details

The Opportunity

Are you a data driven person who can deliver stunning insights with your reports? Do you have a strong analytical mind and like to see the whole picture? Do you have a passion for solving complex problems and a high degree of aptitude when it comes to learning new technologies?

If you love data and numbers and understand how important your role is in helping the business scale, then we want to hear from you! Every day, SkyHive's startup environment will present new challenges, opportunities to grow, and a place to build something truly unique.
 
As a Data Engineer, you will help design, implement and deploy data pipelines using cutting-edge tools and products. You will work jointly with our Machine Learning team to help build grower models and ensure their execution.

The Role

•	Manage and enhance the data warehousing environment, taking it through future iterations.
•	Define and implement technical requirements and technical data architectures for the data warehouse.
•	Design and manage the information access and delivery effort for the data warehouse.
•	Build data parsers and processors, and improve performance of data collections tools.
•	Define and implement production release requirements and sustainment architecture.
•	A demonstrated ability to produce high quality technical documentation.
•	Write & maintain scripts to extract, clean, organize and load data across platforms.
•	Manage the data architecture and infrastructure for processing large quantities of data sets.
•	Manage documentation for data models across multiple sets of SQL and NoSQL databases.
•	Integration of additional data sources into data warehouses and tools.
•	Work alongside business to ensure that the data model continues to reflect ongoing needs.


Who are you?

Qualifications (Must haves)

•	A proven track-record of effective data collection, storage, and access.
•	2+ years’ experience working in Data Architecture/ Engineering.
•	Advanced skills in SQL.
•	Fluency in Python.
•	Real world experience with containers (Docker) & container management systems (Kubernetes).
•	Exposure and experience working with AWS and Azure.
•	Strategic, analytical and critical thinking skills.


Nice-to-Haves

•	A familiarity with BigData and scheduling tool is a bonus.
•	MongoDB

Compensation: Varied based on experience.

Who are we?

Recognized as a top startup by Forbes, Startup Grind, and C100, SkyHive is an award-winning AI technology that deepens our understanding of labour markets, workforces and individuals, enabling new ways of acquiring, developing and engaging talent.

Established in 2017 with the mission of tackling global poverty and social inequality, SkyHive aims to utilize its exponential technology to stimulate economic empowerment and lifelong learning; ultimately fostering a stronger, more prepared, and more confident workforce to welcome a brighter tomorrow.

What do we offer?

•	Opportunity to get your foot in the door of a fast-growing tech company
•	Collaborative team environment and culture with a flat organizational design
•	Comprehensive health benefits package & MSP coverage
•	Three weeks’ paid vacation to start, paid holidays and birthday leave!
•	Stock options & gainsharing plan
•	Certified B-Corp Status
•	Paid & unpaid volunteer time off
•	Charitable donation-matching program to support your favorite charity.
•	Opportunity to explore other departments as training and career continues.
•	Professional development assistance program that covers professional continuing education
•	Beautiful office in A1 location with beer and cider on tap and an in-house gym
•	Numerous employee appreciation events throughout the year

When & Where

Where

333 Seymour St, Vancouver, BC V6B 5A7, Canada

When

As soon as possible

Compensation

Commensurate with Experience
No paid relocation expenses offered
Include benefits: Yes