Full-Time MDIG - Data Engineer

Your Responsibilities: Designing, building, and operating core components of our data platform enabling product teams, data analysts, and data scientists to autonomously iterate with and launch data processing jobs/models/reports into production. Implementing and maintaining microservices and frameworks, from data ingestion to consumption, leveraging Google's cloud computing platform. Such services may include: batch and streaming ingestion, data governance services, data analytics & processing framework. Advising, providing guidance, and setting standards for engineers, data scientists, and data users on consumption of platform services, pipeline development, and data storage.

Must possess at least 3 years of BI, analytics, statistics, and/or reporting experience. Strong technical background and current modern BI and reporting technologies. Good understanding of cloud technology (preferably Google Cloud Platform with BigQuery). Building back-end components using SQL, Python. Good knowledge of version control with Git and scheduling tools such as AirFlow/Cloud Composer and/or Control-M. Ability to work as part of an international team, share knowledge actively, and contribute with your own ideas and expertise.

Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems. Very good fluency in English (written and verbal).

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