Python Engineer

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.

Key Qualifications

• 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.

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.