[Job - 30560] Sênior Data Developer (Dabricks

About the role

Ciandt is hiring a Senior Data Developer to join a strategic project focused on large-scale data processing and cloud-based analytics. You will build and maintain data pipelines while evolving the company data platform using distributed processing technologies.

Key facts

What you'll do

• Design and manage data pipelines for ingestion, transformation, and integration across corporate systems.
• Develop solutions using Databricks, Python, PySpark, and SQL.
• Ensure the performance, scalability, and quality of all data processes.
• Handle data manipulation and integration in relational and non-relational environments like MongoDB.
• Monitor operational pipelines to identify and resolve technical issues.
• Support the evolution of data engineering architecture and internal processes.
• Assist in modeling and preparing information for business and technical stakeholders.

Requirements

• Proven professional background as a Senior Data Engineer or similar role.
• Advanced proficiency in Python for data engineering, automation, and AI-related tasks.
• Strong command of SQL for structured data exploration.
• Experience working with MongoDB.
• Hands-on expertise with Databricks, PySpark, and Spark.
• Experience building and optimizing scalable data pipelines.
• Background in cloud environments, specifically Azure Databricks.
• Knowledge of near real-time data processing, preferably with Kafka.
• Experience with MLOps and deploying Machine Learning models within Databricks.
• Proficiency in CI/CD workflows using GitHub and GitHub Actions.
• Familiarity with data engineering best practices including versioning, testing, and code reviews.

Nice to have

• Experience with data modeling and ETL/ELT pipeline construction.
• Understanding of Data Lake concepts and distributed processing.
• Work history in regulated industry environments.
• Practical use of AI tools such as GitHub Copilot, prompt engineering, and automated code review.

Skills & tools

• Databricks
• Python
• PySpark
• SQL
• MongoDB
• Azure
• Kafka
• GitHub Actions
• CI/CD

Practical notes

• Residents of the Campinas Metropolitan Region must work from the local office according to current attendance policies.
• Benefits include health and dental insurance, meal vouchers, daycare assistance, extended parental leave, and life insurance.
• Additional perks include PLR (profit sharing), Wellhub (Gympass/TotalPass), CI&T University access, language learning platforms, and wellness programs.
• Candidates with disabilities should provide a medical report during the selection process to ensure proper support and accommodations.