Senior Data Engineer

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 7 years, we have diligently fostered the largest Data Science Community in Eastern Europe, boasting a network of over 30,000 AI top engineers.

About the client:
The company is the leader in cross-channel TV advertising. They bring best-in-class data, science, software and services to TV, streaming, and video games to deliver unparalleled simplicity, transparency and effectiveness. With TV+® platform, the company can reach audiences on both linear and connected TV at guaranteed scale without wasteful duplication. And with PlayerWON™ platform, the company allows brands to extend their reach to connect with PC and console gamers.

About the role:
We are looking for an experienced and dynamic Data Engineer with a curious and creative mindset to join our Data Services team. The ideal candidate will have a strong background in Python, SQL and Rest API development. This is an opportunity to join a team of amazing engineers, data scientists, product managers and designers who are obsessed with building the most advanced streaming advertising platform in the market. As a Data Engineer you will build services and data processing systems to support the platform. You will work on a team that empowers the other teams to use the huge amount of data efficiently. Using a large variety of technologies and tools, you will solve complicated technical problems and build solutions to make the services robust and flexible and the data easily accessible throughout the company.

Requirements:
- 5+ years of work experience as a Data Engineer.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Proficiency in Python and using it as the primary development language in recent years.
- Proficiency in SQL and relational databases (Postgres, MySQL, etc).
- Ability to design complex data models (normalized and multidimensional).
- Experience building REST services (Flask, Django, aiohttp, etc).
- Experience developing, maintaining, and debugging problems in large server-side code bases.
- Good knowledge of engineering best practices and testing (unit test, integration test).
- The desire to take a high level of ownership of the things you work on.
- Ability to learn new things quickly, maintain a high bar for quality, and be pragmatic.
- Must be able to communicate with U.S. based teams.
- Experience with AWS is a plus.
- Ability to work 11 am - 8 pm EEST.

Responsibilities:
- Build products that leverage our data and solve problems that tackle the complexity of streaming video advertising.
- Develop containerized applications, largely in Python, that are deployed to the Cloud.
- Work within an Agile team that releases cutting-edge new features regularly.
- Learn new technologies, and make an outsized impact on our industry-leading tech platform.
- Take a high degree of ownership and freedom to experiment with new technologies to improve our software.
- Develop maintainable code and fault-tolerant solutions.
- Collaborate cross-functionally with product managers and stakeholders across the company to deliver on product roadmap.
- Join a team of passionate engineers in search of elegant solutions to hard problems.

The client offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

About Data Science UA

We understand that you need more than just a search engine to find IT and technical professionals or to progress your own career, that is why we established Data Science UA.
One place connecting business and developers.

Company website:
https://data-science-ua.com/

DOU company page:
https://jobs.dou.ua/companies/data-science-ua/
Job posted on 10 April 2024
107 views    3 applications

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