[Job - 32615 ] Senior Data Developer, Brazil

CI&T is looking for a Senior Data Developer to join the Global Offerings and Operations area, responsible for sustaining and evolving the data platforms that support the company's product growth. This position is central to ensuring a reliable, stable, and observable data foundation, allowing the platform to scale without compromising delivery quality.

The selected professional will work hands-on developing and evolving pipelines, integrations, processing, and observability mechanisms, covering the full data lifecycle — from the Raw and Trusted layers through Refined and Analytics. This role combines technical depth with the autonomy to investigate and resolve production issues, balancing short-term deliveries with the continuous evolution of the Medallion architecture and Unity Catalog.

Responsibilities

• Pipeline Development: Develops and maintains data pipelines that support the platform's Raw, Trusted, Refined, and Analytics layers.

• Architecture & Governance: Drives the evolution of the Medallion architecture and Unity Catalog, strengthening data governance and reliability.

• Data Integration: Implements integrations with Databricks and ADLS, ensuring continuous data flow across platform layers.

• Data Ingestion: Ingests data from APIs, databases, files, and other sources, standardizing handling from the point of origin.

• Observability: Implements observability sensors that monitor the health, performance, and integrity of the data platform.

• Failure Investigation: Investigates ingestion and processing failures, addressing root causes through log analysis, metrics, and targeted testing.

• Incident Response: Responds to production incidents, driving fixes and improvements that reduce recurrence.

• Data Quality: Implements quality controls and maintains consistent data refresh routines.

• Performance & Cost: Supports performance and cost improvement initiatives by optimizing pipelines and using processing resources efficiently.

• Documentation & Knowledge Sharing: Documents technical solutions and architecture decisions, sharing knowledge with the team through code reviews and technical sessions.

Requirements

• Solid experience building data pipelines in production environments, including incident response and troubleshooting.

• Proficiency in Python and SQL applied to building and maintaining ETL/ELT solutions.

• Experience with large-scale distributed data processing using Databricks and Spark.

• Hands-on experience with at least one major cloud platform (Azure, AWS, or GCP).

• Knowledge of Lakehouse architecture, including Raw, Trusted, Refined, and Analytics layers, and Medallion architecture.

• Knowledge of data quality practices, monitoring, and troubleshooting in data environments.

• Familiarity with version control, CI/CD, and software engineering best practices applied to data.

• Advanced english
  
  

Nice to Have

• Experience with Unity Catalog or other data governance solutions in Lakehouse architectures.

• Knowledge of cloud cost optimization.

• Prior experience supporting (running) production data platforms.

• Certifications in Databricks, Azure, AWS, or GCP.

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