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Accelere: Data Engineer

Accelere

This is a Full-time position in Lancienne-Lorette, QC posted January 23, 2021.

One of our clients is looking to hire a” Principal Data Engineer” at Québec City, Quebec,Canada.

Please find the job details below-About the company:We are 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 cataloged consistently, enabling rapid, coordinated and effective development of applications across the Data Science functions.As our sole Principal Data Engineer, you will be responsible for the technical solutions and processes that facilitate and automate the dataset lifecycle.What You’ll Do:Data 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 Bring:Expertise 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 Offer:A truly global mission with a passionate community in locations all over the worldHuge impact and learning potential as our 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