Primary skill : Python and DevOPs

Nice to have skill : Hadoop and AWS

Description

In this role you will be responsible for engineering, integrating and maintaining an analytics data platform based on a hybrid cloud infrastructure.

Work collaboratively with our Data Engineering team to engineer custom solutions when required.

Participate and provide support to our stakeholders and platform users when required.

3+ years of professional experience with the Python programming language.
2+ years of professional software engineering experience (APIs, services, tooling and automation).
Knowledge and experience in working with Docker, Kubernetes, and related technologies.
Knowledge and experience with DevOps methodologies.
Excellent time management skills with the ability to manage work to tight deadlines.
Experience developing solid and scalable technical solutions to business problems.
Experience with agile development and work management methodologies.
Ability to pick up new technologies relatively quickly.
Ability to communicate effectively (written and spoken).
Ability to work with the multi-timezone development teams and self-manage own work.
A strong work ethic.

Professional experience with Java/Scala based analytics platforms (Hadoop, Spark, Hive, Trino, etc.).
Professional experience with Splunk, Flink, Jupyter Notebook, Apache Airflow (and related technologies) is a big plus.