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Senior Data Developer

Technology transformation specialists combining human expertise with AI to create scalable tech solutions, with over 7,400 employees worldwide.
Campinas, State of São Paulo, Brazil
Data
Senior Software Engineer
Remote
5,000+ Employees
5+ years of experience
Enterprise SaaS · AI

Job Description

CI&T, a global technology transformation company with over 7,400 employees, is seeking a Senior Data Developer to join their team. This role focuses on building scalable and intelligent solutions for large data volumes using modern technologies like Databricks, Azure Data Factory, and Cloudera. The position offers a comprehensive benefits package and the opportunity to work with cutting-edge data technologies.

The ideal candidate will be responsible for designing and maintaining robust data pipelines, implementing data governance practices, and optimizing cloud costs through FinOps principles. They will work with various data architectures including Data Lakes and Data Warehouses, while ensuring high data quality and integrity throughout all processes.

This role requires strong technical expertise in Python/PySpark, SQL, and Azure Databricks, combined with the ability to collaborate effectively with cross-functional teams. The position offers professional growth opportunities through CI&T University and various learning platforms, along with competitive benefits including health insurance, profit sharing, and wellness programs.

Working at CI&T means joining a company that values continuous learning, innovation, and work-life balance. The company has a strong track record of successful partnerships with over 1,000 clients during its 30-year history, making it an excellent opportunity for experienced data professionals looking to make an impact in a global technology company.

Last updated 4 days ago

Responsibilities For Senior Data Developer

  • Design, develop and maintain scalable and robust data pipelines
  • Create data ingestion, transformation and modeling solutions using Databricks, Spark/PySpark, Cloudera and Azure Data Factory (ADF)
  • Ensure data quality, integrity and usability throughout the pipeline
  • Implement CI/CD pipelines for ETL processes
  • Design and maintain Data Lake and Data Warehouse solutions with data governance best practices
  • Apply FinOps concepts for cloud data processing cost optimization
  • Develop and document workflows, processes and data architectures
  • Perform technical troubleshooting of pipelines and data infrastructure
  • Work with concepts like Bronze, Silver and Gold layers, Star Schema, Delta Tables, Delta Sharing and analytical tables
  • Collaborate with technical and business teams
  • Manage technical roadmap for data projects

Requirements For Senior Data Developer

Python
  • Degree in Computer Science, Engineering, IT or related fields
  • Solid experience as a Data Engineer or similar role
  • Advanced knowledge of SQL
  • Advanced knowledge of Python/PySpark
  • Advanced knowledge of Azure Databricks
  • Experience with Azure Data Factory (ADF)
  • Experience with Cloudera (Hive, Impala, HDFS)
  • Experience with ETL/ELT and data pipelines
  • Knowledge of dimensional data modeling
  • Experience with Data Lake/Data Warehouse
  • Knowledge of data governance and quality
  • Experience with CI/CD practices in data environment
  • Strong communication and collaboration skills
  • Ability to work in dynamic environments

Benefits For Senior Data Developer

Medical Insurance
Dental Insurance
Parental Leave
Vision Insurance
  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended parental leave
  • Gym partnership (Wellhub/Gympass/TotalPass)
  • Profit sharing (PLR)
  • Life insurance
  • Continuous learning platform (CI&T University)
  • Discount club
  • Online health and wellness platform
  • Pregnancy and parenting course
  • Online course partnerships
  • Language learning platform

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