
Senior Data Engineer
Avvale
full-time
Posted on:
Location Type: Remote
Location: Brazil
Visit company websiteExplore more
Job Level
About the role
- Design, implement, and optimize data engineering architectures and processes, ensuring scalability, security, and efficiency.
- Develop and implement data engineering solutions in Azure (Data Factory, Synapse Analytics, Databricks, Data Lake, SQL Database).
- Build high-performance, reliable data pipelines (ETL/ELT).
- Work on data modeling, systems integration, and information governance.
- Ensure best practices for performance, security, and scalability.
- Collaborate with multidisciplinary teams and international stakeholders.
- Participate in meetings and presentations in English at an advanced level.
Requirements
- Proven experience in data engineering/solutions.
- Strong expertise in Microsoft Azure and its core components.
- Experience in ETL/ELT and building data pipelines.
- Knowledge of relational and dimensional data modeling.
- Advanced English for technical reading and collaboration with global stakeholders.
- Experience in multinational environments and large-scale projects.
- Experience with agile methodologies (Scrum/Kanban).
- Knowledge of data governance and process automation.
- Consultative mindset with strategic vision and a results-oriented approach.
Benefits
- 10 business days of vacation
- iFood meal/food card
- Paid maternity/paternity leave program
- Employee referral policy with financial bonus
- Wellhub benefit
- Equipment provided by Avvale
- Optional: Amil 400 health plan + dental (100% covered by Avvale for the consultant)
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLELTdata modelingsystems integrationinformation governanceprocess automationMicrosoft AzureSQL DatabaseDatabricks
Soft skills
collaborationconsultative mindsetstrategic visionresults-orientedcommunicationpresentation skillsinterpersonal skillsadaptabilityproblem-solvingteamwork