Description:

Fusemachines is a 10+ year old AI company focused on delivering advanced AI products and solutions across various industries.
The role is a remote, consulting position for 3 months with a possibility of extension.
The primary responsibility is to design, build, and maintain the infrastructure for data integration, storage, processing, and analytics to optimize digital channels in the food services industry.
The position requires a mid-level engineer who is knowledgeable about modern data integration frameworks, big data, and cloud technologies.
Candidates must be proficient in data programming languages such as Python and SQL, as well as AWS Cloud and Snowflake Data Platform.
The data engineer will build data pipelines and models to support advanced AI/ML analytics projects aimed at enhancing customer experience and driving global revenue growth.

Requirements:

A full-time Bachelor's degree in Computer Science or a similar field from an accredited institution is required.
At least 3 years of experience as a data engineer with strong expertise in Python, Snowflake, PySpark, and AWS is necessary.
Proven experience in delivering large-scale projects and products for Data and Analytics as a data engineer is essential.
Candidates should have 3+ years of data engineering experience with Snowflake and AWS, with certifications preferred.
Proficiency in Python and other programming languages for data integration and automation is required.
Strong experience with ELT/ETL tools, including custom solutions for APIs, databases, flat files, and event streaming is needed.
Experience with distributed data technologies such as Spark/PySpark, DBT, and Kafka for large datasets is necessary.
Advanced SQL skills for optimized data integration and manipulation are required.
Candidates must be skilled in AWS Data Warehousing and Snowflake development, including knowledge of Snowflake architecture and services.
Familiarity with data security in Snowflake, including RBAC and encryption, is required.
Experience with streaming technologies and task orchestration, preferably Apache Airflow, is necessary.
Strong knowledge of AWS Cloud Computing services is required.
Understanding of data modeling, database design, data quality, and governance is essential.
Strong problem-solving skills for troubleshooting data pipelines and optimizing performance are necessary.

The position offers the flexibility of remote work.
Candidates will have the opportunity to work on innovative projects in the AI field.
The role provides a chance to collaborate with cross-functional teams and contribute to global growth.
Employees will be part of a diverse and inclusive work environment, as Fusemachines is committed to equal opportunities.
The position may lead to further contract extensions based on performance and project needs.