Senior Data Engineer at Logiciel Behavox (Montreal, QC, Canada)

About Behavox

Behavox is shaping the future for how businesses harness their most important raw material - data. Our mission is bold: Organize enterprise data into actionable information that protects and promotes the business growth of multinational companies around the world.

From managing enterprise risk and compliance to maximizing revenue and value, our data operating platform presents a widespread opportunity to build multilingual, AI / ML - based solutions that activate data for every function within a global enterprise.

Our approach is unique, and it’s validated by our customers who tell us to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way we are.

We are looking for fearless innovators who have an insatiable appetite for building what no one has built before.

About the role

The Data Operations team is responsible for the creation and management of large datasets that are used by our analysts and engineers to train and test machine learning applications and analytics. Due to their variation and complexity, it is vital that our datasets are named, formatted, structured, stored, categorized and catalogued consistently, enabling rapid, coordinated and effective development of applications across the Data Science functions.

As our sole Senior Data Engineer, you will be responsible for the technical solutions and processes that facilitate and automate the dataset lifecycle. This will be and exciting opportunity for a talented individual looking to:

1. Build something new and have ownership of success

2. Gain exposure to cutting edge ML and data analysis techniques

3. Become a vital part of the company mission with responsibility for the 'oil' that makes our platform run

What You'll Do

  • Ensure smooth data transition from production to delivery
  • Develop new pipelines for new datatypes or use cases
  • Liaise with Data Science leaders to address questions and opportunities to improve or introduce new processes
  • Prepare data for ML pipeline
  • Transform unstructured data into standardized formats

What You'll Bring

  • Experience designing data storage technologies and techniques (structured & unstructured)
  • Experience building reproducible data transoformation pipelines
  • Project management (in order to lead and manage complex programs)
  • Expertise in python for data analysis and visualization (Jupyter notebooks / Pandas / Matplotlib / Seaborn)
  • Experience with data engineering and transformation techniques & technologies

What We Offer

  • A truly global mission with a passionate community in locations all over the world
  • Huge impact and learning potential as our aspirations require bold innovation
  • Highly competitive compensation with 100% bonus pay already integrated
  • Benefits include fully covered health coverage for employee and family
  • Generous time-off policy and flexible work schedule

About Our Process

We take Talent very seriously and we are building a community of extraordinary individuals working together in very high performing teams. We also know that the best Talent always has options so we believe that the process has to be a two way assessment - the company AND the candidate assessing the business needs alignment, the career next step alignment, and the cultural alignment.

During the process we will begin by exploring the core factors regarding salary and location along with core experience and skills and values alignment. We will then deep dive explore the critical technical competencies we have identified for the role, and then we will deep dive in behavioral competencies.

The most aligned candidate will then be asked to do a practical work task simulation activity so we can make sure that you will enjoy the kind of work the role requires, and this task will typically be presented and discussed with a group of colleagues and managers. Finally we will ask you to meet with a number of our senior leaders to make sure that you are making the most informed call possible.

Please let the company know you found this position via aijobsdb.com so we can keep providing you with quality jobs.