[Job-25824] Data Tech Lead - DataOps, Brazil

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Novembro 14

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CI&T

SiteLinkedInTodas as Vagas

Artificial Intelligence • Cloud Services • SaaS

CI&T é especialista global em transformação tecnológica, ajudando organizações a trilhar sua jornada tecnológica. Com serviços que vão de modernização de aplicações e soluções em cloud a data analytics com IA e experiência do cliente, a CI&T capacita negócios a acelerar o crescimento e maximizar a eficiência operacional. A empresa enfatiza design de produtos digitais, consultoria estratégica e experiências imersivas, assegurando um suporte robusto para empresas de diversos setores.

5001 - 10000 funcionários

Fundada em 1995

🤖 Inteligência Artificial

☁️ SaaS

💰 $5.500.000 Venture Round em 2014-04

Descrição

• Design, build, and optimize data ingestion and transformation pipelines using Databricks and other modern cloud-based data platforms. • Implement and enforce data contracts, ensuring schema consistency and compatibility across services. • Develop and integrate data quality checks (validation, anomaly detection, reconciliation) into pipelines. • Apply DataOps best practices, including CI/CD for data workflows, observability, monitoring, and automated testing. • Collaborate with product, analytics, and engineering teams to understand requirements and deliver reliable, production-grade data solutions. • Drive improvements in data performance, cost optimization, and scalability. • Contribute to architectural decisions around data modeling, governance, and integration patterns. • Mentor junior data engineers and developers, providing code reviews, knowledge-sharing, and best practice guidance.

🎯 Requisitos

• Proven experience in building and managing large-scale data pipelines in Databricks (PySpark, Delta Lake, SQL). • Strong programming skills in Python and SQL for data processing and transformation. • Deep understanding of ETL/ELT frameworks, data warehousing, and distributed data processing. • Strong experience with data pipeline orchestration tools (e.g., Airflow, Dagster, Prefect, dbt, Azure Data Factory). • Hands-on experience with modern DataOps practices: version control (Git), CI/CD pipelines, automated testing, infrastructure-as-code. • Familiarity with cloud platforms (AWS, Azure, or GCP) and related data services. • Strong problem-solving skills with the ability to troubleshoot performance, scalability, and reliability issues. • Advanced English is essential. • Understanding of the entire business side. • Experience with data contracts, schema evolution, and ensuring compatibility across services. • Experience with Databricks Asset BundlesExpertise in data quality frameworks (e.g., Great Expectations, Soda, dbt tests, or custom-built solutions). • Familiarity with DBT, Atlan and Soda. • Integration with Power BIExperience with Data Streaming.

🏖️ Benefícios

• 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 • And many more!