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 sister Data Engineering team to engineer custom solutions when required
Participate and provide 8x5 support to our stakeholders and platform users when required
Key Qualifications
2+ 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
Nice to Have
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
Bachelor's degree