Position: Data Engineer (proptech startup)
Company: Yuvoh
Experience required: 2y
Category: Data Science
English level: intermediate
Published: 2021-05-01T00:00:00+03:00

Proptech Start-Up looking for Data Engineer

**What is the team like**
What matters to us most is understanding and solving our customers’ needs. So you can expect a fast pace and varied challenges being tackled in a collaborative atmosphere. Our team thrives in a friendly, relaxed and open culture, which allows people to share ideas across the business.

**What the company can provide to the applicants**
Practical skills with mentoring from tech and  banking veterans and the ability to work in a fantastic new Fintech startup company.
Commitment to foster a strong working relationship for these applicants with the whole team.
Freedom to develop creative and interesting software from the ground up as part of a dynamic team.Interesting tasks and modern technologies.
We are looking for a data-driven and highly proactive individual who likes to find solutions to problems, and deliver data science projects.

**You should be comfortable with the following:**
Understand the key questions and problems facing our clients
Implement new solutions to support clients
Help clients to gain more insights from using advanced data enrichment

**Key requirements for the role:**
2-3 years of experience as Data Engineer (Big Data)
Experienced in using Python for data pipelines building and Big Data transformations
Good knowledge of SQL
Experience with the Hadoop ecosystem (e.g. Hive, Spark, Presto)
Experience building data integrations using Airflow

**Desirable to have**
Previous experience of working with geospatial data
Experience working with Google Cloud
Docker, K8s
Experience working with streaming technologies (e.g. Kafka, Confluent Cloud)

**Job responsibilities:**
Develop and maintain optimal data pipeline architecture
Identify ways to improve data reliability, efficiency and quality
Prepare data for predictive and prescriptive modelling
Create data tools for data scientist team members
Taking part in the decision-making process in design, solution development and code review
Working in an international distributed (within Europe) team
Delivering the product roadmap and plannings, create estimations