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Accelere: Principal Data Engineer

Accelere

This is a Contract position in Montreal, QC posted February 22, 2021.

The CompanyOur client is shaping the future for how businesses harness their most important raw material data.

Their 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, their data operating platform presents a widespread opportunity to build multilingual, AI / ML-based solutions that activate data for every function within a global enterprise.Their approach is unique, and it’s validated by their customers who tell them to keep forging ahead because no one else is aggregating, analyzing, and acting on data to uncover opportunities or solve problems quite the way they are.They are looking for fearless innovators who have an insatiable appetite for building what no one has built before.About the roleThe Data Operations team is responsible for the creation and management of large datasets that are used by their analysts and engineers to train and test machine learning applications and analytics.

Due to their variation and complexity, it is vital that their datasets are named, formatted, structured, stored, categorized, and cataloged consistently, enabling rapid, coordinated, and effective development of applications across the Data Science functions.As their sole Principal Data Engineer, you will be responsible for the technical solutions and processes that facilitate and automate the dataset lifecycle.What You’ll DoData creation and synthesisTransformation of unstructured data into standardized formatsIntegration of data from different sourcesAnonymization, pseudonymization, and removal of PIIClassification and labelingStorage and version managementWhat You’ll BringExpertise in python for data analysis and visualization (Jupyter notebooks / Pandas / Matplotlib / Seaborn)Expertise working with databases like SQLExpertise with management and manipulation of very large datasetsGood understanding of Amazon AWS infrastructure including S3 API / CLIStrong knowledge of GitGood understanding of CI/CD automation tooling (for example, Jenkins, Gitlab/Bitbucket pipelines)Experience with data preparation for machine learning and NLP applicationsWhat We OfferA truly global mission with a passionate community in locations all over the worldHuge impact and learning potential as their aspirations require bold innovationHighly competitive compensation with 100% bonus pay already integratedBenefits include fully covered health coverage for employee and familyGenerous time-off policy and flexible work schedule