
Senior Data Engineer
Posted Oct 7

Posted Oct 7
This is a fully remote position, open to applicants in Brazil.
• Design, construct, and implement high-quality, high-performance data pipelines in Azure utilizing ADF, Synapse, and Databricks, as well as on-premises platforms when necessary.
• Maintain and support existing data pipelines through proactive monitoring, incident management, problem ticket resolution, troubleshooting, bug fixing, and enhancements to architecture and code.
• Engage in the Data Validation process.
• Ensure that systems comply with business and non-functional requirements, including performance, security, privacy, and GDPR/LGPD regulations.
• Incorporate new data management and software engineering technologies into existing data architectures.
• Analyze and structure raw data; ingest, transform, and make data accessible in data lakes and data marts.
• Collaborate with BI, Data Science, and Software Engineering teams to document and provide consistent data solutions.
• Strong experience in the Azure Cloud data ecosystem, emphasizing ADF, Synapse, Databricks/Spark, and ADLS.
• Development of reports with Reporting Services and dashboards utilizing Power BI.
• Experience in designing, building, and testing ETL/ELT data pipelines, ensuring both performance and reliability.
• Willingness to learn and integrate new frameworks and cloud-native technologies.
• Capability to share knowledge with junior team members.
• Familiarity with the Microsoft SQL Server technology stack.
• Extensive experience in Dimensional Modeling and strong SQL expertise for constructing Data Marts and Data Warehouses.
• Contribution to technical references, assistance in defining data standards, and involvement in code reviews.
• Practical understanding of Software Engineering principles, including advanced Git usage with branches and pull requests.
• Experience in implementing and maintaining CI/CD for data solutions.
• Knowledge of unit, integration, and end-to-end testing.
• Azure or AWS cloud certification is a plus.
• Familiarity with Data Catalog and Lineage processes and tools, such as Azure Purview, is a plus.
• Experience with Python or Scala for scripting and automating data processes is a plus.
• Familiarity with orchestration tools like Airflow is a plus.
• Health and dental insurance.
• Meal and food allowance.
• Childcare assistance.
• Extended paternity leave.
• Partnerships with gyms and health and wellness professionals through Wellhub (Gympass) TotalPass.
• Profit Sharing and Results Participation (PLR).
• Life insurance.
• Access to a continuous learning platform (CI&T University).
• Discount club.
• Free online platform focused on physical, mental, and overall well-being.
• Courses on pregnancy and responsible parenting.
• Collaborations with online learning platforms.
• Language learning platform.
• A dedicated health and well-being team, inclusion specialists, and affinity groups.
• Support and accommodations for individuals with disabilities during the selection process.
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