Data Engineer, Media Publishing Platform

The client is a world-leading music analytics provider. They collect data from various music labels and retailers and build reports and charts, breaking data down by different parameters like territory, genre, label, etc. The customers of the client are music labels and large media businesses.

Requirements
-Proven understanding and application of modern data processing technology stacks. This includes Snowflake, Airflow, SQL, and others
-Strong programming skills in Python, shell scripting, and SQL
-Experience with data warehouses/RDBMS like Snowflake (preferred), BigQuery, EMR, etc.
-Experience with Designing and Engineering robust cloud based systems (preferably on AWS)
-Solid foundation in data structures, algorithms, and architecture patterns
-Understanding of Serverless computing, Data Lake and API Frameworks
-Knowledge of Kubernetes/Container platforms-based development
-Understanding/Implementation experience of Caching Frameworks - Redis, Hazelcast, Ignite, etc.
-Experience with Data Analytics tools like Tableau, QuickSight, Power BI
-Spoken English

About DataArt

DataArt is a global software engineering firm. With over 20 years of experience, teams of highly-trained engineers around the world, deep industry sector knowledge, and ongoing technology research, we help clients create custom software that improves their operations and opens new markets. DataArt started out as a company of friends and has a special culture that distinguishes it from other IT outsourcers, such as:
- Flat structure. There are no “bosses” and “subordinates”.
- We hire people not to a project, but to the company. If the project (or your work in it) is over, you go to another project or to a paid “Idle”.
- Flexible schedule, ability to change projects, to work from home, to try yourself in different roles.
- Minimal bureaucracy and micromanagement, convenient corporate services

Company website:
https://dataart.ua

DOU company page:
https://jobs.dou.ua/companies/dataart/

Job posted on 29 July 2022
21 views    1 application


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  • Data Engineering
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