Senior Data Engineer

Responsibilities:

• Design and maintain scalable ETL/ELT pipelines using Azure Data Factory and similar tools.
• Optimize data storage in ADLS Gen2 and Azure SQL Database for analytics workloads.
• Implement data quality checks, monitoring, and cleansing to ensure data reliability.

Required Qualifications:

• Advanced/Fluent English (C1 or higher) with experience in global projects.
• Strong expertise in Azure cloud services (ADF, ADLS, Azure Functions, etc.) and advanced SQL/T-SQL.
• Proficient in Python for data transformation, REST API integrations, and automation.

Nice to Have:

• Experience with Apache Spark/PySpark and Azure DevOps or GitHub Actions for DataOps.
• Knowledge of FinOps practices and data catalog/lineage tools.
• Familiarity with multi-entity enterprise data environments.

Benefits:

• Health and dental insurance, meal and food allowance, and childcare assistance.
• Extended paternity leave, partnerships with gyms via Wellhub (Gympass) and TotalPass.
• Profit sharing (PLR), life insurance, and continuous learning platform (CI&T University).