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DevOps (with Databricks) Latam
hace 18 horas
The Company
As a prominent startup with a robust SaaS platform, our company specializes in fostering teamwork through interactive visual collaborations within a dynamic shared environment.
They are currently seeking a Senior Data Ops Engineer to take charge of our Data infrastructure. In this dynamic role, you will play a pivotal part in enhancing our global growth by leveraging your expertise to build, manage, and automate our AWS and Azure Data infrastructure, along with overseeing our Data Platform.
**Key Duties**:
Deploy, automate, manage, and maintain AWS/Azure infrastructure for Data
Manage, configure, and maintain Databricks infrastructure
Ensure availability, performance, security, and scalability of the infrastructure
Collaborate on SOC II certification with security and compliance teams
Provision infrastructure using Terraform
Create and maintain ETL processes using Astronomer, Fivetran, Segment, and Databricks to ingest data into our platform
Worldwide community of software enthusiasts dedicated to software craftsmanship. Their aim is to improve the world by creating top-notch software that is of high quality.
Beneficios
**Your Profile**:
4+ years of experience as a DevOps professional with a focus on data engineering
Strong experience with Databricks (is a must), Redshift, S3, Astronomer/Airflow, Fivetran, Segment, DBT, ETL processes, and data integration techniques
Proficiency in DevOps tooling and best practices (VPCs, cluster management, permissions, Databricks configurations, Terraform)
Proficiency in Data Engineering programming languages such as Python, Scala, and SQL
Knowledge of data governance and security practices
Excellent command of English, both written and verbal
Ability to work independently from a remote location with a global team
