- 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.
- Experience leading teams and working with multiple stakeholders.
- 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.
- 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.
- 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.
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Description
SummaryWe are looking for a strong and experienced software engineer who has a focus on Platforms/Systems within the analytics space.
Description