Data Engineer - INTL Brazil

The Senior Data Engineer plays a senior role in the design, development, and maintenance of constructing and populating a data lakehouse. This position helps develop and improve processes and techniques that ensure efficient data processing and high data quality to power analytics. The role applies technical expertise to design data architecture and data models and to build pipelines that populate the various data zones (bronze, silver, and gold) within a data lakehouse architecture.
JOB RESPONSIBILITIES:
 Lead end-to-end technical delivery of complex data and analytics solutions, ensuring scalability, reliability, and alignment to business outcomes
 Design, build, and optimize data pipelines and analytical data models (batch and near real-time) to support enterprise reporting, BI, and advanced analytics use cases
 Assess source systems and data quality, defining transformation logic, data standards, and controls to meet business definitions and governance requirements
 Partner with business and technical stakeholders to translate requirements into technical designs, and contribute to estimation, planning, and delivery sequencing
 Drive data architecture and engineering best practices, including modular design, reusability, performance optimization, and cost efficiency
 Mentor and coach team members, elevating overall engineering capability through guidance, knowledge sharing, and hands-on support
 Perform code and design reviews, ensuring adherence to standards, maintainability, and optimal performance of data solutions
 Lead root cause analysis and issue resolution, implementing preventative measures and performance improvements across pipelines and platforms
 Continuously improve delivery processes, identifying opportunities to increase speed, quality, automation, and reliability
 Implement and enforce data governance practices, including lineage, documentation, data quality checks, and secure data handling
 Collaborate with platform and infrastructure teams to ensure optimal use of cloud data platforms (e.g., Snowflake, Azure), including performance tuning and cost management
 Support DevOps and CI/CD practices for data engineering, including automated testing, deployment pipelines, and environment management
 Ensure operational excellence, including monitoring, alerting, and SLAs for critical data pipelines and data products
 Contribute to platform strategy and tool selection, evaluating new technologies to enhance data engineering capabilities and self-service enablement
 Reads and follows the Underwriters Laboratories Code of Conduct and all physical and digital security practices.
 Performs other duties as directed. None of the foregoing information in any way states or implies that these are the only duties to be performed by an employee occupying this position. Employees will be required to follow other job-related instructions and perform other job-related duties as requested. Duties are not necessarily comprehensive and are subject to change at any time at the discretion of management. Consult the position qualifications for this job when using the position profile for hiring, transfer, or promotion decisions or when providing career guidance.

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• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics or related field
• Deep Experience with data transformation, ETL/ELT and data management
• Deep Experience with writing and optimize complex SQL
• Experience with data modeling using dimensional modeling techniques (Star Schema)
• Experience in cloud infrastructure, computing, on Big Data platforms
• Understanding of structured, unstructured, semi-structured data
• Experience with data streaming, messaging, and event driven data architecture
• Knowledge in data governance and data quality frameworks
• Experience of working in an Agile environment
• Experience working with all NoSQL Databases e.g. Graph, Document, Column
• Knowledge of machine learning and artificial intelligence concepts
• Ability to articulate an idea with strong communication and presentation skills
• Work as part of a small team, sharing ideas and contributing to the strategic goals

Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.