Data Pipeline Design & Interactive Dashboard Development

I'm looking for a talented Data Engineer/Analyst who can help design and implement a robust data pipeline in Databricks and create an intuitive, interactive dashboard in Qlik Sense.
The selected professional will be responsible for:
- Developing and optimizing ETL processes in Databricks using Python
- Extracting data primarily from APIs
- Ensuring data integrity, scalability, and performance in the Databricks environment
- Testing and validating data outputs and dashboard functionality
- Building a Qlik Sense dashboard with clear, actionable visualizations

Ideal candidates will have a strong background in data engineering/analysis, with deep experience in Databricks and Qlik Sense. Proficiency in Python is a must, along with excellent skills in SQL and Scala. Strong understanding of API data extraction and ETL processes is essential.

The role demands a keen eye for detail to ensure clean and optimized data flows, as well as the ability to build a user-friendly dashboard to visualize key insights for stakeholders.