[Job - 24309] Senior Data Developer + Databricks, Brazil

We aretech transformation specialists, uniting human expertise with AI to create scalable tech solutions.
With over 7.400 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history.
Artificial Intelligence is our reality.
Key Responsibilities
Design and Develop Data Pipelines: Create robust, scalable data pipelines using Databricks, Apache Spark, and SQL to transform and process large datasets efficiently.
Data Architecture: Collaborate with data architects to design data models and architecture that support data analytics and machine learning applications.
Performance Optimization: Monitor and optimize the performance of existing data pipelines and workflows to ensure high throughput and low latency.
Collaboration with Stakeholders: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical specifications.
Data Quality and Governance: Implement data quality checks and governance practices to ensure data consistency, accuracy, and compliance.
Documentation and Best Practices: Maintain comprehensive documentation for data pipelines and processes, and contribute to the establishment of best practices within the team.
Mentorship: Provide guidance and mentorship to junior team members, fostering a culture of learning and collaboration.
Requirements for this Challenge
Experience: 5+ years of experience in data engineering or a related field, with a focus on data pipelines and ETL processes.
Soft Skills: Excellent communication in English and Portuguese, with the ability to work effectively in a team-oriented environment and engage with clients.
Technical Skills: Proficiency in Databricks, Apache Spark, SQL, and Python (or Scala).
Cloud Technologies: Experience with cloud platforms such as Azure, AWS, or GCP, particularly related to data storage and processing solutions.
Big Data Technologies: Experience with additional big data technologies such as Hadoop, Kafka, or Airflow.
Data Modeling: Strong understanding of data modeling concepts and experience with relational and NoSQL databases.
Problem-Solving: Excellent analytical and problem-solving skills, with the ability to troubleshoot complex data issues.
Education: Bachelor's degree in Computer Science, Information Technology, or a related field.
Nice to Have
Certifications: Databricks certification (e.g., Databricks Certified Developer) or other relevant certifications.
Machine Learning: Familiarity with machine learning frameworks and concepts, and experience integrating data engineering with machine learning workflows.
Data Visualization: Knowledge of data visualization tools (e.g., Tableau, Power BI) to help communicate insights effectively.
Agile Methodologies: Experience working in Agile development environments and familiarity with tools such as JIRA or Confluence.
Our benefits
Health and dental insurance
Meal and food allowance
Childcare assistance
Extended paternity leave
Partnership 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
And many more
At CI&T, inclusion starts at the first contact.
If you are a person with a disability, it is important to present your assessment during the selection process.
This way, we can ensure the support and accommodations that you deserve.
If you do not yet have the assessment, don't worry: we can support you in obtaining it.
We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage.
Count on us to make this journey side by side.
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