Senior Data Developer

Tech transformation specialists with 30 years of experience, operating in 10 countries with 6,000 employees across 5 continents.
Data
Senior Software Engineer
Remote
1,000 - 5,000 Employees
5+ years of experience
Finance
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Description For Senior Data Developer

CI&T is a global tech transformation company with a strong presence across 10 countries and 6,000 employees worldwide. We're seeking a Senior Data Developer to join our financial sector project in Brazil. This role combines cutting-edge data engineering with business impact, working with Azure cloud technologies and modern data architectures.

The position offers a unique opportunity to work with enterprise-scale data solutions, implementing and optimizing data pipelines using technologies like Azure Databricks, Apache Spark, and Python. You'll be responsible for designing and maintaining robust data architectures, implementing Data Mesh practices, and ensuring efficient data processing through both batch and streaming approaches.

The ideal candidate will bring strong experience in data engineering, particularly with Azure cloud services, and have a proven track record of building scalable data solutions. You'll work in a collaborative environment, partnering with data analysts and scientists to deliver business value through data-driven solutions.

We offer a comprehensive benefits package including health and dental insurance, mental health support, and continuous learning opportunities through CI&T University. Our culture celebrates diversity and inclusion, and we actively encourage applications from underrepresented groups in tech.

This remote position allows you to work from anywhere in Brazil while being part of a global team that's making a significant impact in the financial sector. Join us to be part of a company that combines the disruptive force of AI with human expertise to help major companies navigate technology and business changes.

Last updated 6 days ago

Responsibilities For Senior Data Developer

  • Design, build and maintain robust and scalable data architectures on Azure platform
  • Develop and optimize ETL/ELT pipelines using Databricks
  • Implement batch and streaming data processing solutions using Apache Spark in Databricks
  • Collaborate with data analysts and data scientists to understand business analytical needs
  • Build and optimize data lakes and data warehouses in Azure
  • Implement Data Mesh practices for improved governance
  • Develop scripts and applications in Python and PySpark
  • Design and implement data ingestion solutions
  • Work with SQL and NoSQL databases in Azure
  • Configure and maintain CI/CD pipelines
  • Monitor and optimize data pipeline performance
  • Document architectures, processes and best practices

Requirements For Senior Data Developer

Python
  • Experience in data engineering
  • Experience with Azure Databricks and Apache Spark
  • Experience in Python and PySpark development
  • Strong SQL experience for data manipulation and complex queries
  • Experience with data pipeline orchestration
  • Knowledge of Azure Storage
  • Familiarity with Data Lakes and Data Mesh concepts
  • Experience with SQL and NoSQL databases
  • Knowledge of Infrastructure as Code
  • Experience with CI/CD tools
  • Ability to optimize query and Spark job performance
  • Experience with batch and streaming data ingestion in Azure
  • Knowledge of data governance and cloud security practices

Benefits For Senior Data Developer

Medical Insurance
Dental Insurance
Mental Health Assistance
Parental Leave
  • Health and dental insurance
  • Meal and food allowance
  • Childcare assistance
  • Extended paternity leave
  • Gympass
  • Profit sharing
  • Life insurance
  • Mental health platform partnership
  • CI&T University
  • Discount club
  • Support Program: psychological guidance, nutritionist
  • Pregnancy and parenting courses
  • Online course platform partnerships
  • Language learning platform

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