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About the Client
The health and fitness software and payment processing provider in the United States, Puerto Rico, Canada, and Mexico. Founded in 1981, they currently work with 7,000+ health clubs. Customer offerings include payment processing and gym management solutions that allow managers to track memberships and schedules and automate payment processing functions.
● Support the migration from Synapse to Databricks across multiple data streams.
● Design and implement scalable solutions for:
• Initial data load
• Data mart and consumption layer
• Reporting and Power BI integration
● Collaborate with product and business teams to understand requirements and deliver data-driven solutions.
● Optimize data pipelines for performance, scalability, and reliability.
● Ensure best practices in data modeling, ETL/ELT processes, and storage optimization.
● Write unit and integration tests to ensure data quality and consistency.
● Diagnose and resolve issues in data pipelines, performance bottlenecks, and integration points.
● Keep up with evolving technologies in the data engineering and cloud ecosystem, recommending improvements to keep the stack up to date.
● 8+ years of professional experience in data architecture and cloud-based data platforms.
● Proven expertise in designing and leading large-scale implementations on Databricks.
● Deep knowledge of data warehousing, lakehouse architecture, and consumption layer design.
● Strong background in enterprise data modeling, governance, security, and compliance.
● Ability to define reference architectures and best practices for scalable ETL/ELT pipelines.
● Proficiency in Python, PySpark, and SQL with the ability to guide engineering teams on performance optimization.
● Experience integrating analytics and reporting solutions, including Power BI, into enterprise data platforms.
● Demonstrated ability to review, mentor, and elevate the technical capabilities of engineering teams.
● Experience working in agile teams using SCRUM methodologies.
● Strategic mindset with a focus on scalability, cost optimization, and long-term platform evolution.
👍English: upper-intermediate
🌍 Location: EU, Brazil
📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!