Senior Data Engineer – Azure
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Job Description
Senior Data Engineer responsible for designing and maintaining Azure data solutions. Collaborating on ETL processes, ensuring data integrity and availability for analysis.
Responsibilities:
- Design, implement, and maintain data ingestion, processing, and storage solutions using Azure platform tools such as Azure Databricks, Azure Data Factory, Azure Data Lake, and SQL databases;
- Develop and optimize ETL (Extract, Transform, Load) workflows using PySpark to ensure data integrity and quality;
- Model and structure data efficiently to meet the organization's analytics and business intelligence needs;
- Monitor and troubleshoot data infrastructure issues, ensuring system availability and scalability.
Requirements:
- Strong knowledge of Azure Databricks, Azure Data Factory, and Azure Data Lake;
- Experience developing ETL solutions and data modeling;
- Programming skills in languages such as Python, Scala, or Spark;
- Familiarity with Big Data concepts and cloud data architectures;
- Intermediate to advanced English.
Benefits:
- Meal/food allowance (Flex Card)
- Wellhub
- Health insurance
- Dental insurance
- Life insurance
- Birthday day off (one day off during your birthday month)
- Childcare assistance for both men and women
- Certification reimbursement
- English Pass
- FIAP tuition partnership
- SESC benefits
- Extended paternity and maternity leave (Empresa Cidadã)
- Marriage leave
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