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CI&T

Mid-Level Data Developer, Azure, Databricks

CI&T

. Build, maintain, and optimize robust data pipelines, with a focus on low latency, resilience, data quality, and observability .

Posted 10/21/2026full-timeBrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and optimizing data pipelines with a focus on low latency and data quality, utilizing tools such as Apache Spark, SQL Server, and Databricks. Proven ability to implement CI/CD processes and conduct root cause analyses in production environments.

Highest-signal resume keywords
Data Engineering ExperienceApache Spark / PySparkSQL ServerCI/CD ProcessesData Lake Migration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data Pipeline OptimizationData Workflow DevelopmentRoot Cause AnalysisCost-Optimization StrategiesVersion Control with Git
Tools & Technologies
DatabricksDelta LakeCI/CD ToolsGit
Industry Keywords
Data LakeData WarehouseData GovernanceProduction EnvironmentsAI Projects

Tech Stack

Tools & technologies
ApachePySparkSparkSQL

About the role

Key responsibilities & impact
  • Build, maintain, and optimize robust data pipelines, with a focus on low latency, resilience, data quality, and observability
  • Develop scalable data workflows using Apache Spark / PySpark and Databricks
  • Apply efficient partitioning and cost-optimization strategies
  • Structure and manage data using SQL Server and Delta Lake
  • Implement version control with Git
  • Create CI/CD processes to automate deployments
  • Continuously monitor production workflows
  • Investigate failures and perform root cause analyses
  • Drive the continuous improvement of production workflows
  • Contribute to scalable, product-oriented architectures
  • Lead technical initiatives and support the evolution of the data platform

Requirements

What you’ll need
  • Experience in data engineering
  • Experience working in production environments
  • Experience handling large volumes of data
  • Participation in data lake migration, modernization, or development projects
  • Ability to investigate incidents and perform root cause analyses
  • Knowledge of Apache Spark / PySpark and Databricks
  • Knowledge of SQL Server and Delta Lake
  • Experience with Git and CI/CD processes
  • Preferred: experience with AI projects and pipeline automation
  • Preferred: knowledge of data-oriented architectures and governance best practices
  • Preferred: familiarity with Databricks MLflow for model management
  • Preferred: experience working in Data Lake and Data Warehouse environments

Benefits

Comp & perks
  • Health and dental insurance
  • Meal and food allowances
  • Childcare assistance
  • Extended parental leave
  • Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) and TotalPass
  • Profit-Sharing and Results Program (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Free online platform dedicated to promoting physical health, mental health, and well-being
  • Pregnancy and responsible parenting course
  • Partnerships with online learning platforms
  • Language-learning platform
  • Support and accommodations for people with disabilities
  • Dedicated Health and Well-being team
  • Inclusion specialists and affinity groups