Description:

Fusemachines is a 10+ year old AI company focused on delivering advanced AI products and solutions across various industries.
The company aims to democratize AI and leverage global AI talent from underserved communities.
This full-time position is for a Senior Data Engineer responsible for leading, designing, building, and maintaining data integration, storage, processing, and analytics infrastructure using Microsoft Azure in the Media domain.
The role requires hands-on experience with Python and Pyspark, and the ability to support software development activities in an Agile environment.
The ideal candidate will collaborate with developers to achieve architecture and design objectives as agreed with stakeholders.

Requirements:

A full-time Bachelor's degree in Computer Science or a similar field from a top-tier school is required.
Candidates must have 7+ years of experience with Azure DevOps, Azure Cloud Platform, or other hyperscalers.
At least 7 years of experience as a data engineer with strong expertise in Azure, specifically in generating big datasets from various data sources in the Media industry is necessary.
Proven experience in delivering projects and products for Data and Analytics as a data engineer is essential.
Hands-on experience of 7 years with Python, Pyspark, Jupyter Notebooks, and familiarity with Databricks is required.
Candidates should have experience with data cleansing, transformation, and validation, as well as proven architecture skills on Big Data projects.
Hands-on experience with code versioning tools such as GitHub or Bitbucket is necessary.
Candidates must have experience building pipelines in GitHub, Azure DevOps, or Jenkins.
A minimum of 3 years of hands-on experience with Spark is required.
Strong written and verbal communication skills are essential, along with self-motivation and the ability to work well in a team.

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.