Engenheiro de Dados - Remoto

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CANDIDATE-SE

Vaga ofertada por parceiro do Jobbol:
JOB DESCRIPTIONA global bio-pharmaceuticals company is seeking a a versatile engineer who enjoys working at the intersection of data engineering, software development, and DevOps/MLOps to join their data operations team.
This role involves working with data technologies, including distributed computing frameworks, alongside developing and managing common Python libraries, infrastructure automation, AI-related initiatives, and continuous integration/continuous deployment (CI/CD) workflows.
This is a fully remote role in LATAM and will be a contract until the end of the year with likely extensions.
Responsibilities: · Develop and optimize scalable data processing solutions using Python, SQL, and distributed data technologies.
· Design, develop, and maintain reusable Python libraries and APIs to enhance team efficiency.
· Contribute to AI and automation initiatives to streamline operations and improve workflow efficiency.
· Create and manage CI/CD processes, automating builds, tests, and deployments.
· Manage and automate data-related infrastructure tasks, such as resource provisioning, access controls, monitoring, and workspace management.
· Support future MLOps initiatives, ensuring robust operational deployment of machine learning workflows.
Required Skills: · Proficiency in Python and its ecosystem, with a particular emphasis on data processing libraries and tools.
· Strong SQL for data querying, analysis, and optimization.
· Experience with cloud computing environments, preferably Azure, including services related to storage, identity management, and compute resources.
· Experience building automated CI/CD workflows and scripting in a DevOps environment.
· Knowledge of data infrastructure management practices.
Familiarity with core DevOps principles and an interest in advancing into MLOps practices.REQUIRED SKILLS AND EXPERIENCE- 3+ years of working experience with python development - Strong knowledge of data libraries (panda, polars, or pyspark) - Familiarity with enterprise cloud environments 9azure preferred)Compensation:$18/hr to $22/hr.Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.
Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.