Sobre

• About the Job

• Dadosfera, a leader in Data & AI Platform Solutions, is seeking exceptional talent in Data Engineering. We’re looking for someone who is passionate about data, thrives in an autonomous, high-learning environment, and enjoys working with cutting-edge technologies. As a Data Engineer, your mission will be to manage large volumes of data, creating solutions and generating insights for our clients.

• Responsibilities
• Lead client projects to ensure high data quality and deliver scalable solutions.
• Develop, maintain, and evolve data pipelines and cloud platforms using DataOps and Data Engineering principles.
• Participate in architectural decisions, address technical debt, and engage in agile methodologies.
• Design and model secure, reliable, and scalable data architecture solutions.
• Engage in internal training and alignment activities to foster continuous growth.
• Minimum Qualifications
• 3+ years of experience in Data Engineering or a related field.
• Bachelor’s degree in a STEM or related field (or equivalent industry experience).
• Proficiency in building and maintaining data pipelines (Tools, Python, Scala).
• Experience in SQL and Python development. *
• Experience with Linux environments and cloud services.*
• Familiarity with CDC ingestion tools (e.g., Debezium, DMS) and data orchestration tools (e.g., Airflow, NiFi).*
• Hands-on experience with Kubernetes and Apache Spark.*
• Preferred Qualifications
• Experience with infrastructure development tools like Terraform or CloudFormation.
• Strong organizational and multitasking skills with the ability to balance competing priorities.
• Experience working in tech startups or with BI tools (e.g., PowerBI, Tableau, Metabase).
• Ability to process and transfer data via custom scripts (e.g., APIs, files).
• Knowledge of relational and non-relational databases.
• Advanced English.

• At Dadosfera, we celebrate diversity in all its forms and are committed to fostering an inclusive environment every day. We have zero tolerance for any form of discrimination. Do you share our values? Then don’t wait—apply today!