FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering with a focus on centralizing and integrating data from multiple sources, utilizing Medallion Architecture, and ensuring operational reliability through effective monitoring and contingency planning. Proficient in leveraging tools like Databricks and Kafka to support scalable and resilient data ecosystems.
Highest-signal resume keywords
Data EngineeringDatabricksMedallion ArchitectureKafkaResilience and Business Continuity
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data CentralizationData IntegrationData ProcessingPipeline MonitoringContingency Strategy DesignMachine Learning Knowledge
Soft Skills
AutonomyCritical Thinking
Tools & Technologies
AzureKafkaDatabricks
Industry Keywords
Data MeshDomain-Oriented Distributed Data ArchitectureOperational ReliabilityScalable SolutionsData Ecosystem
Tech Stack
Tools & technologiesAzureKafka
About the role
Key responsibilities & impact- Lead the centralization and evolution of the Depositary’s data platform for one of our clients
- Work with informational and transactional data, from capture across different sources through processing and structured, reliable, and resilient delivery
- Organize and evolve the different data layers using Medallion Architecture
- Centralize, integrate, and process data from multiple sources
- Query, consume, and integrate data from other systems using Kafka
- Monitor pipelines and data environments, ensuring operational reliability
- Design contingency strategies and plans to support resilience, availability, and business continuity
- Assess scenarios, identify improvements, and propose scalable, sustainable solutions
- Contribute to the architecture, integration, quality, observability, and resilience of the data ecosystem
- Evolve the platform to support future Machine Learning initiatives
Requirements
What you’ll need- Strong experience in Data Engineering, with proficiency in Databricks and Azure
- Experience with Medallion Architecture
- Knowledge of Data Mesh and principles of domain-oriented distributed data architecture
- Experience centralizing, integrating, and processing data from multiple sources
- Knowledge of and previous experience with Kafka, particularly for querying, consuming, and integrating data from other systems
- Experience monitoring pipelines and data environments
- Strong knowledge of resilience, availability, and business continuity, including the design of contingency strategies and plans
- Architectural vision, with the ability to assess scenarios, identify improvements, and propose scalable, sustainable solutions
- Machine Learning knowledge will be considered a plus
- Senior-level professional profile, with autonomy and critical thinking
Benefits
Comp & perks- Meal or food allowance
- Flexible benefits (Flash)
- Medical insurance
- Psicologia Viva mental health support
- Dental insurance
- Childcare allowance
- Assistance for children with special needs
- Fertility assistance
- Extended maternity and paternity leave
- Transportation allowance or home office allowance (for remote-work contracts)
- Gympass (Wellhub) and TotalPass
- Flexible working hours
- Life insurance
- Partner benefits club
- Partnership with Sesc
- Dress code-free workplace
- Birthday day off
- Beca education incentive program
- Profit-sharing or bonus, based on the achievement of targets and results