Position: Data Engineer
Company: CNA International IT
Category: Data Science
Experience required: 3y
English level: intermediate

Requirements:

 - Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
 - Experience building and optimizing ‘big data’ data pіpelines, architectures and data sets;
 - Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement;
 - Senior level experіence of Python and knowledge of Pandas framework;
Understanding of high load concepts and ability to work with microservice architectures in mind;
 - Experience working with cloud platforms (lіke Google Cloud);
Good English (spoken and written).
 
Would be an advantage:

 - Experience with working and deploying Machine Learning pipelines;
 - Knowledge of BI Tools like Looker and how they work;
 - Previous experience with queue brokers (RabbitMQ, Kafka, Cloud Pub/Sub);
 - Data aggregation pipelines related skills.

Responsibilities:
 - Creating and maintaining optimal data pipeline architecture;
Working with stakeholders including Product, Data Science and Back-end teams to assist with data-related technical issues and support their data infrastructure needs;
 - Architecting and designing data pipelines that are able handle billions of monthly data events;
 - Working on the scalability of the internal data platform to make sure handling greater workloads is efficient;
 - Work on improving the data quality to ensure stakeholders are able to work reliably with the data;
 - Coming up with ideas for the current technology optіmization to stay cutting-edge.

Thе соmpаny оffеrs:
 - Competitive salary;
 - The opportunity to work with a dynamically growing team that’s expanding rapidly;
 - Training programs and career development opportunities;
 - Flexible working hours and work-life balance options.