Data Platform Technical Duty

In a few phrases, here is the list of the data platform technical duty:
Deployment, maintenance, and administration of data-related open-source tools (e.g. Airflow, Kafka, Marquez)
Development, deployment, and maintenance of in-house data solutions, written in Python and Go
Maintaining and developing infrastructure related to data: e.g. cloud storage solutions, data access policies, and all the infrastructure needed to support the applications in the previous point
Direct monitoring and maintenance of several data-related services

In terms of leadership, we expect you to

Balance technical and business interests in the decision-making for the platform
Have a clear holistic vision of the processes, interactions, and stakeholders related to the platform
Fill the gaps between the platform developers and the platform users
Bring to the platform design the views of the enterprise architecture team
Promote a culture of communication and collaboration among the Data teams

In order to join us, we would like you to have experience with our flavor of data engineering:
Management of cloud storage solutions (ADLSg2, Delta Lake)
And to align with our team’s values
Openness and collaboration: we do our best to support each other in our daily work and in our growth
Platform vision: we highly value the ability to describe clearly what happens on our platform, leveraging it to explain and defend our choices, and to support the users
Pragmatism: we do our best to keep our platform as simple and agile as possible, in order to minimize the maintenance work and have time to focus on the exploration of new things
High-quality software development: we prefer spending 2 hours more on a piece of code today to avoid spending two weeks next month trying to debug it
Cost and security-aware cloud development: we build with quality in our mind, and this means integrating security and sustainability into our platform design
Bachelor’s or master’s degree in computer science (or comparable).
Over 3 years of experience as a Data Platform Engineer or in a similar role.
Python, SQL/dbt,Terraform HCL,Golang,Helm,Airflow,Kafka,Argo,Databricks,Spark,Azure, Kubernetes and DevOps

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