DataOps Engineer, Specialist I

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Create automations for the data platform utilizing infrastructure as code, ensuring durability, high performance, and user-friendliness while upholding governance and security standards;

• Oversee the data layer and its associated services, guaranteeing they remain observable, scalable, and adaptable to fulfill the platform’s requirements;

• Enhance engineering team productivity by designing and implementing frameworks, methodologies, and standards that streamline team operations;

• Guide and develop team members in data engineering best practices to encourage scalability and cloud automations, working collaboratively with all teams;

• Transform business requirements into effective, reusable technological solutions for the platform, promoting a data-driven environment;

• Formulate and test hypotheses, swiftly adjusting to shifts in priorities or circumstances;

• Operate independently while consistently depending on and contributing to the team;

• Take ownership of the data platform by identifying and refining requirements for enhancements, optimizations, and technological advancements;

• Track platform availability, performance, capacity, and usage trends, suggesting tactical or strategic adjustments as necessary.

⛳️ Requirements

• CI/CD & Data Automation: Extensive experience in building and maintaining CI/CD pipelines (preferably GitHub Actions), focusing on the automated deployment of infrastructure and data pipelines.

• Cloud: Proficient in cloud computing, ideally with Google Cloud Platform (GCP).

• Backend Development: Skilled in Python and TypeScript, with a solid history of creating robust APIs and scalable services.

• Distributed Architecture: Significant experience with microservices architecture and patterns of distributed systems.

• AI Ecosystem: Proficient in developing and integrating AI agents and implementing MCPs.

• Data Engineering (Differential): Familiarity with Data Lakehouse architectures, data modeling, and data pipelines.

• Technical independence for decision-making, comprehensive architectural vision, and the capability to lead the resolution of complex challenges.

🏝️ Benefits

• Health

• Medical and dental plan

• Medication assistance

• Health allowance for family members

• Free psychotherapy sessions

• Telemedicine and second medical opinion

• Free flu vaccination

• Health care programs

• Food

• Meal voucher or local restaurant allowance (depending on work model)

• Food allowance

• Christmas food allowance

• Well-being and quality of life

• Gym and fitness studio plan

• Home office allowance (hybrid and remote work models)

• Pet health plan

• Birthday day off

• Up to 40% discount on our products

• Employee membership (agreements and partnerships, multi-brand store, gyms via TotalPass, courses and more)

• Travel and accommodation program

• Family

• Childcare assistance

• Child nutrition credit

• Babysitter assistance

• School supplies assistance

• Legal, psychological and social guidance

• Support for atypical parents

• Extended parental leave (180 days for mothers and 120 days for fathers)

• Mobility for on-site work

• Transportation voucher and parking (hybrid and on-site models)

• Financial security

• Life insurance

• Support in the event of parents' death

• Private pension

• Payroll-deductible loans

• Benefit packages are configured according to eligibility rules.