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CI&T

Senior Data Engineer

CI&T

. Define, build, and deliver high-quality, high-performance data pipelines in Azure using ADF, Synapse, and Databricks, and on-premises platforms when necessary .

Posted 10/7/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in building and maintaining high-performance data pipelines using Azure technologies such as ADF, Synapse, and Databricks, while ensuring compliance with performance, security, and privacy standards. Proficient in SQL, ETL/ELT processes, and collaboration with cross-functional teams to deliver data solutions.

Highest-signal resume keywords
Azure Data Factory (ADF)Databricks/SparkETL/ELT Data Pipeline DevelopmentDimensional ModellingCI/CD Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Azure SynapseSQLData Pipeline MonitoringData ValidationData Lake ManagementReporting ServicesPower BISoftware Engineering PrinciplesUnit TestingIntegration Testing
Soft Skills
Knowledge SharingCollaboration
Tools & Technologies
Microsoft SQL ServerAzure PurviewAirflow
Certifications & Qualifications
Azure CertificationAWS Certification
Industry Keywords
GDPRData GovernanceData CatalogData Lineage

Tech Stack

Tools & technologies
AirflowAWSAzureCloudETLMS SQL ServerPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Define, build, and deliver high-quality, high-performance data pipelines in Azure using ADF, Synapse, and Databricks, and on-premises platforms when necessary
  • Support and maintain existing data pipelines through proactive monitoring, incident and problem-ticket handling, troubleshooting, bug fixing, and architectural and code improvements
  • Participate in the Data Validation process
  • Ensure systems meet business and non-functional requirements, including performance, security, privacy, GDPR/LGPD
  • Integrate emerging data management and software engineering technologies into existing data structures
  • Analyze and organize raw data; ingest, transform, and make data available in data lakes and data marts
  • Collaborate with BI, Data Science, and Software Engineering teams to document and deliver consistent data solutions

Requirements

What you’ll need
  • Solid experience in Azure Cloud data ecosystem, focusing on ADF, Synapse, Databricks/Spark, and ADLS
  • Development of reports using Reporting Services and dashboards using Power BI
  • Experience designing, building, and testing ETL/ELT data pipelines, ensuring performance and reliability
  • Comfort learning and integrating new frameworks and cloud-native technologies
  • Ability to share knowledge with more junior team members
  • Knowledge of Microsoft SQL Server technology stack
  • Robust experience in Dimensional Modelling and strong SQL domain knowledge for building Data Marts and Data Warehouses
  • Experience contributing to technical reference, assisting in defining data standards, and participating in code reviews
  • Practical experience applying Software Engineering principles, including advanced Git use with branches and pull requests
  • Experience implementing and maintaining CI/CD for data solutions
  • Knowledge of unit, integration, and E2E testing
  • Cloud certification in Azure or AWS is nice to have
  • Knowledge of Data Catalog and Lineage processes and tools, such as Azure Purview, is nice to have
  • Experience with Python or Scala for scripting and data process automation is nice to have
  • Experience with orchestration tools such as Airflow is nice to have

Benefits

Comp & perks
  • 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
  • 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 during the selection process