We invite you to join our RnD’s Data Platform team and take opportunity to:

• contribute to the design and the development of projects in the area of advanced analytics and data science
• support number of big data and data science services that are used by the other SOFTSWISS flagman products
• research, develop and integrate new data processing tools and technologies

Responsibilities:

• Apply diverse data technologies such as Spark, Kafka, Clickhouse, and other similar tools from Big Data technology landscape to build business-critical, scalable and robust data pipelines and intuitive data products that power data discovery & analysis in a self-service manner;
• Design an extensible, highly scalable and optimised real-time data analytics platform;
• Own the data products critical for product innovation and recommendation engines;
• Continually acquire new data sources to develop an increasingly rich dataset that characterizes users, content, and marketing;
• Be comfortable outside of your comfort zone – explore new tech, make your own tool, or find a new way to address an old problem.

Requirements:

• Senior experience in software engineering, deployment, and integration with data delivery systems and other components, building microservices, providing APIs for models access;
• Proficiency in at least one high-level programming language (Scala, Java, Python or equivalent);
• Experience in data environments, such as Data Lakes, Data Warehouses, Data Marts, Data transformation concepts and working with large data volumes;
• Experience in building ETL pipelines to perform feature engineering on the large-scale datasets using Apache Airflow
• Experience with sourcing and modeling data from application APIs.
• Experience with building stream-processing applications using Spark-Streaming, Kafka Streams or others.

Would Be a Plus:

• Experience with low-latency NoSQL datastores (such as HBase, Cassandra, MongoDB), Relational databases (such as MySQL, Postgres) and Search systems (such as ElasticSearch, Solr) is a plus;
• Experience with running Machine Learning models in production is a plus;
• DevOps tools (e.g. Ansible, Docker, Kubernetes);

Masters, Ph.D., or equivalent experience in Software Engineering, Mathematics or Computer Science.

Work Conditions:

• Work in an international IT product company with offices in 4 countries
• Remote full-time work or work from a comfortable office. It doesn’t matter where you work from, what matters is the result
• Flexible schedule. It is enough to coordinate time zones and have intersections of working hours with the team
• Paid 4 Sick Days and 1 Day Off per calendar year
• Sports program compensation
• Free online English lessons with a native speaker
• Large payments under the referral program, in which the bonus is received by both the employee who recommends and the candidate who accepts the offer
• Training, internal workshops, participation in international professional conferences and corporate events
• A wide relocation program for both employees and newcomers.