- Implement advanced data engineering solutions using agile methodologies and industry best practices
- Improve the company’s data analysis productivity and process performance
- Design and execute data integration strategies
- Ensure data quality and information security
Requirements
- Degree in Engineering, Computer Science, Mathematics, or Statistics, preferably in a STEM/quantitative field
- Minimum of 8 years of experience in IT with software development
- Experience in cloud programming
- Familiarity with the Microsoft Azure environment
- Strong knowledge of the Databricks platform, including Genie, Lakeflow Jobs, and other features
- Experience with Azure SQL Database
- Experience with Azure Data Lake
- Strong proficiency in Python and SQL
- Experience in software development and applying best practices, including documentation, version control, unit testing, clean code, and CI/CD
- Familiarity with data administration and data governance
- Nice to have: knowledge of Data Mesh
- Nice to have: understanding of the basic principles of LGPD (Brazil's General Data Protection Law)
- Nice to have: Microsoft Azure certification
- Nice to have: experience with API development
Core Competencies
Demonstrates expertise in advanced data engineering solutions, focusing on data integration strategies, data quality, and information security within cloud environments. Proficient in Python, SQL, and the Microsoft Azure ecosystem, with a strong emphasis on best practices in software development.
Highest-signal resume keywords
- Data Engineering Solutions
- Microsoft Azure Environment
- Databricks Platform
- Python Programming
- SQL Proficiency
ATS Optimization Keywords
Hard Skills
- Data Integration Strategies
- Cloud Programming
- Software Development Best Practices
- Data Administration
- Data Governance
Certifications & Qualifications
- Microsoft Azure Certification
Industry Keywords
- Agile Methodologies
- Data Mesh
- LGPD
Tools & Technologies
- Azure SQL Database
- Azure Data Lake
- Genie
- Lakeflow Jobs