Azure Databricks Engineer

vzc Головна Вакансії компанії Intellias Azure Databricks Engineer

Project Overview:

Founded in 2005 by a small group of innovative Entrepreneurs as a start-up incubator in Paris, become a global leader in commerce marketing and a publicly traded company in 2013.
Client's business operations and SaaS marketing platforms provide measurable Return On
Investment (ROI) for the leading global brands. Our staff are innovators and leaders in advertising and marketing technology, and support company’s mission to power the world’s marketers with trusted & impactful advertising.

Client's culture is as unique as it is diverse. With offices around the world, our incredible team of circa 2,600 employees collaborates to create an open & inclusive environment. We work together to achieve our goals, push boundaries, and be impactful.

Рекрутерка

Зінаїда Козачук

Responsibilities:

Providing internal IT solutions and services needed to support customer business and IT users, operations and projects in their daily lives with a fast and agile approach;
Supporting strategic evolution of customer and offering smart and innovative solutions while ensuring cost efficiency, privacy, security and compliance.

Requirements:

We are looking for data engineers perfectly familiar with data literacy and proficient with data platform architecture patterns.
Our data platform is leveraging MS Azure services, included ingestion, staging, processing and serving.

We are now entering in a phase of scaling Databricks solution, then we are looking for resources with relevant skills on this technology.

In a nutshell, here is what we are looking for :

Design and build data. Ingest, transform, and publish data from sources and to destinations by using Azure Databricks;
Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes;
Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues;
Develop and maintain scalable data pipelines in data bricks to integrate with enterprise data streams. Build data pipelines that feed business intelligence tools and expose data to end users using Power-BI;
Design and implement Data Architectures.

Higher Education: