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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, focusing on building and maintaining data pipelines, data modeling, and developing Data Lakes/Lakehouses using Delta Lake. Proficient in utilizing Azure Data Factory and PySpark on Databricks to orchestrate data workflows.
Highest-signal resume keywords
Data Engineering LeadershipData Pipeline DevelopmentData Lake/Lakehouse ConstructionAzure Data FactoryPySpark on Databricks
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 ModelingSQLDelta LakeData Pipeline OrchestrationAzureDatabricksPySpark
Tools & Technologies
Azure Data FactoryDatabricksAirflow
Tech Stack
Tools & technologiesAirflowAzurePySparkSQL
About the role
Key responsibilities & impact- Provide technical leadership for data engineering initiatives
- Develop and maintain data pipelines
- Work on data modeling
- Build Data Lakes/Lakehouses with Delta Lake
- Use SQL on a daily basis
- Work with Azure Data Factory and PySpark on Databricks
Requirements
What you’ll need- Strong knowledge of Azure
- Strong knowledge of Databricks
- Experience with data modeling and building Data Lakes/Lakehouses using Delta Lake
- Experience orchestrating pipelines (e.g., Airflow or similar tools)
- Experience with Azure Data Factory
- Experience with PySpark on Databricks
- Knowledge of SQL
- Portuguese fluency or proficiency is not explicitly required
Benefits
Comp & perks- Meal and food allowance (Flash Card)
- Health insurance
- TotalPass fitness benefit
- Home office allowance
- Learning incentive programs (Udemy)
- Corporate English classes at affordable rates