data platform engineer.

For a client in the banking industry, we are looking for individuals to fill the position of Data Platform Engineer

We are building a modern Data Analytics Platform in the cloud to help the bank be even more data-driven. This is a joint effort of the bank's units and you will be part of a distributed, multinational and multicultural team. There is a lot of work and fun along the way.

The technology stack is:
Kubernetes, Python, Java/Scala, Kafka, Kafka Streams, Kafka Connect, Kafka Schema Registry, Airflow, Atlas, Amundsen (Flask + ReactJS), Cassandra and Elasticsearch.

• Flexible hours, possibility of remote work,
• Working on international projects,
• Training and education opportunity,
• Free English courses,
• Access to the newest technologies.

• Data Analytics Platform software components integrations,
• Security by design,
• Data Analytics Platform components design and development.

• You have wide experience in developing backend solutions in Python,
• You have experience in Kubernetes and Helm,
• You are familiar with contributing to opensource projects and reusing them,
• You are able to lead complex software integrations.
• English level - B2.

You'll get extra points for:

• Experience with data-related projects,
• Experience with one or more technologies: Alluxio, Superset, Hive, Airflow, Ranger.

Employment agency entry number 47