Senior Data Platform Engineer

Há 6 dias

São Paulo, São Paulo, Brasil Ebury Tempo inteiro

Ebury is a global fintech firm dedicated to empowering businesses to expand internationally through tailored and forward-thinking financial solutions.
Since our founding in , we've grown to a diverse team of over 1, professionals across 40+ offices and 29+ markets worldwide.
Joining Ebury means becoming part of a collaborative and innovative environment where your contributions are valued.
You'll play a key role in shaping the future of cross-border finance, while advancing your own career in a dynamic, high-growth industry.
Senior Data Platform Engineer
São Paulo Office - Hybrid: 4 days in the office, 1 day working from home
Join Our Data Team at Ebury São Paulo Office.
Ebury's strategic growth plan would not be possible without our Data team and we are seeking a Data Engineer to join our Data Platform team
Our mission is to develop maintain and improve Ebury's Data Platform with a focus on building scalable, robust, and innovative frameworks.As a Data Platform Engineer, you will work closely with the rest of the team to help develop and improve the Data Platform.
What we offer: Competitive salary and benefits package
Discretionary bonus based on performance
Continued personal development through training and certification
We are Open Source friendly, following Open Source principles in our internal projects and encouraging contributions to external projects Responsibilities: Oversee the design, development, and maintenance of a robust data platform to be consumed across the company
Collaborate with stakeholders to understand their data needs and deliver actionable insights
Drive innovation and explore emerging technologies to enhance our data capabilities
Establish and enforce data governance policies and standards to ensure data quality and security About you: Proficiency in Python for data transformation and validation
Proficiency in SQL for querying and managing large datasets, as well as experience working with structured and unstructured data sources
Data engineering and modelling skills such as slowly changing dimensions and dimensional modelling
Graph database modelling encouraged
Hands-on experience with data warehousing, data lakes, and cloud platforms, including designing and implementing data solutions at scale
Self-motivation and curiosity, with a desire to learn and grow in a fast-paced environment, continuously improving both technical and business skills
Experience with GCP (Google Cloud Platform) tools and services, such as BigQuery, Cloud Run, and Cloud Functions
Fluency in English (Spanish, a plus) If you're excited about this job opportunity but your background doesn't match exactly the requirements in the job description, we strongly encourage you to apply anyway.
You may be just the right candidate for this or other positions we have.
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