About The Position
As a Data Engineer at Gloat, you will be joining a newly dynamic Data Infrastructure team in charge of multiple responsibilities across all data-oriented tasks fueling our incredible R&D team.

You will have the freedom to explore and implement the newest technologies and data solutions in the market.

You will work with some of the best, imaginative and friendliest people.

You will learn new things every day and will always find new challenges.

So what are you waiting for? Come help us change the future of work!

Responsibilities
Advancing Gloats data architecture, data science initiatives, analytics for clients, Internal analytics & more.

Translate business requirements to big data solutions.

Design, build and maintain scalable data pipelines and data management infrastructure of the entire Gloat business ecosystem.

Collaborate with a multidisciplinary team of data scientists, developers , analysts, and stakeholders across Gloat in order to develop and design end-to-end data products to enable business insights and decisions for our enterprise clients and internal teams.

Adapt and solve problems as they arise.

Stay up to date with current best practices in the big data field.

Requirements
2+ years of experience working as a Data Engineer / Software Engineer or a similar role in a SaaS company – MUST.
A deep understanding of software engineering, with at least 2+ years of experience (Python – Advantage).
Advanced proficiency and deep understanding of SQL / NoSQL.
Hands-on experience in a big data production environment.
Hands-on experience implementing ETL (or ELT) best practices at scale.
Experience with one or more of these technologies: Airflow, dbt, Snowflake,Presto / Trino, Spark, MapReduce, Kafka, SQS, Sagemaker.
Familiarity of cloud data related services in AWS & Azure.
Strong data modeling & coding skills, business logic processes, and insight delivery strategy.
Quick learner, team player, independent, imaginative and motivated individual with a passion for data!