Senior Data Engineer

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines within Azure environments.

• Create and enhance Data Lake and Data Warehouse solutions for analytics and business intelligence purposes.

• Develop and sustain data integration and orchestration pipelines utilizing Azure Data Factory or comparable tools.

• Execute data quality validation, monitoring, and cleansing procedures.

• Create and manage dimensional data models employing Star Schema and SCD Type 1 and Type 2 methodologies.

• Develop integrations and automations using Python, including REST API consumption and data transformation workflows.

• Implement CI/CD pipelines for data solutions and facilitate automated deployments.

• Enforce Data Governance practices, such as data lineage, cataloging, access control, and data ownership.

• Collaborate with global stakeholders, analysts, data scientists, and engineering teams.

• Contribute to performance optimization and FinOps initiatives for cloud-based data platforms.

⛳️ Requirements

• Advanced/Fluent English (C1 or above).

• Proven experience working with international clients or on global projects.

• Strong expertise in Azure cloud services, including Azure Data Factory, ADLS Gen2, Azure SQL Database, Azure Functions, Azure Key Vault, and Azure Logic Apps.

• Advanced proficiency in SQL/T-SQL, including CTEs, Window Functions, MERGE statements, Stored Procedures, change detection, and incremental loading strategies.

• Extensive experience with Python for data transformation, REST API integrations, JSON processing, Parquet generation, and error handling and retry patterns.

• Solid grasp of Data Lake, Data Warehouse, and dimensional modeling principles.

• Experience in implementing data quality practices, including completeness checks, referential integrity validation, and anomaly detection.

• Familiarity with Git and CI/CD pipelines for data initiatives.

• Understanding of Data Governance principles, including lineage, cataloging, security, and access management.

• Experience with Apache Spark/PySpark.

• Knowledge of Azure DevOps or GitHub Actions for DataOps and CI/CD processes.

• Familiarity with cloud-based modern data stacks.

• Understanding of FinOps practices as applied to data platforms.

• Experience with multi-entity or multi-source enterprise data environments.

• Knowledge of Data Catalog and Lineage tools.

🏝️ Benefits

• Health and dental insurance.

• Meal and food allowance.

• Childcare assistance.

• Extended paternity leave.

• Partnerships with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass.

• Profit Sharing and Results Participation (PLR).

• Life insurance.

• Continuous learning platform (CI&T University).

• Discount club.

• Complimentary online platform dedicated to physical, mental, and overall well-being.

• Pregnancy and responsible parenting course.

• Partnerships with online learning platforms.

• Language learning platform.

• Health and Well-being team, inclusion specialists, and affinity groups.

• Support and accommodations for individuals with disabilities.