UI Developer

In this vital role, you'll be responsible for designing, building, maintaining, analyzing, and interpreting data to provide actionable insights that drive business decisions. This position involves working with large datasets, developing reports, supporting and executing data governance initiatives, and visualizing data to ensure it's accessible, reliable, and efficiently managed. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture and ETL processes.

Roles & Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing.
• Serve as a key team member, assisting in the design and development of data pipelines.
• Create data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems.
• Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions.
• Take ownership of data pipeline projects from inception to deployment, managing scope, timelines, and risks.
• Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
• Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency.
• Implement data security and privacy measures to protect sensitive data.
• Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions.
• Collaborate and communicate effectively with product teams.

What We Expect of You

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications and Experience

• Master's degree with 1 to 3 years of experience in Computer Science, IT, or a related field
• OR
• Bachelor's degree with 3 to 5 years of experience in Computer Science, IT, or a related field
• OR
• Diploma with 7 to 9 years of experience in Computer Science, IT, or a related field

Must-Have Skills

• Hands-on experience with big data technologies and platforms such as Databricks, Apache Spark (PySpark, SparkSQL), workflow orchestration, and performance tuning on big data processing.
• Proficiency in data analysis tools (e.g., SQL) and experience with data visualization tools.
• Excellent problem-solving skills and the ability to work with large, complex datasets.

Preferred Qualifications

Good-to-Have Skills

• Experience with ETL tools such as Apache Spark, and various Python packages related to data processing, machine learning model development.
• Strong understanding of data modeling, data warehousing, and data integration concepts.
• Knowledge of Python/R, Databricks, SageMaker, and cloud data platforms.

Professional Certifications

• Certified Data Engineer / Data Analyst (preferred on Databricks or cloud environments).
• Certified Data Scientist (preferred on Databricks or Cloud environments).
• Machine Learning Certification (preferred on Databricks or Cloud environments).

Soft Skills

• Excellent critical-thinking and problem-solving skills.
• Strong communication and collaboration skills.
• Demonstrated awareness of how to function in a team setting.
• Demonstrated presentation skills.

Shift Information

This position requires you to work a later shift and may be assigned a second or third shift schedule. Candidates must be willing and able to work during evening or night shifts, as required based on business requirements.