Senior Data Engineer

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CI&T

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $5.5M Venture Round on 2014-04

Consulting • Healthcare • Marketing

CI&T is a global tech transformation specialist focusing on helping organizations navigate their technology journey. With services spanning from application modernization and cloud solutions to AI-driven data analytics and customer experience, CI&T empowers businesses to accelerate their growth and maximize operational efficiency. The company emphasizes digital product design, strategy consulting, and immersive experiences, ensuring a robust support system for enterprises in various industries.

📋 Description

• Design, develop, and maintain scalable ETL/ELT pipelines in Azure environments • Build and optimize Data Lake and Data Warehouse solutions for analytics and business intelligence • Develop and maintain data integration and orchestration pipelines using Azure Data Factory or similar tools • Implement data quality validation, monitoring, and cleansing processes • Create and maintain dimensional data models using Star Schema and SCD Type 1 and Type 2 strategies • Develop Python-based integrations and automations, including REST API consumption and data transformation workflows • Implement CI/CD pipelines for data solutions and support automated deployments • Apply Data Governance practices, including data lineage, cataloging, access control, and data ownership • Collaborate with international 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 higher) • Experience working with international clients or global projects • Strong experience with Azure cloud services, including Azure Data Factory, ADLS Gen2, Azure SQL Database, Azure Functions, Azure Key Vault, and Azure Logic Apps • Advanced knowledge of SQL / T-SQL, including CTEs, Window Functions, MERGE statements, Stored Procedures, change detection, and incremental loading strategies • Strong experience with Python for data transformation, REST API integrations, JSON processing, Parquet generation, and error handling and retry patterns • Solid understanding of Data Lake, Data Warehouse, and dimensional modeling concepts • Experience implementing data quality practices, including completeness checks, referential integrity validation, and anomaly detection • Familiarity with Git and CI/CD pipelines for data projects • 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 • Experience with cloud-based modern data stacks • Familiarity with FinOps practices 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 • Partnership 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 • Free 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 people with disabilities