Role and Responsibilities
· Develop and automate large-scale, High-Performance, Scalable data pipelines (batch and streaming) to drive faster analytics
· Ability to design new Data Architecture with excellent run-time characteristics such as low latency, fault-tolerance, and availability
· Optimize data processing
· Troubleshoot data-related issues
· Monitor and optimize data pipelines and systems for performance, scalability, and cost-effectiveness.
· Establish and enforce data governance policies and procedures to safeguard patient data and ensure compliance.
· Implement processes and tools to ensure data quality, consistency, and compliance with healthcare regulatory requirements.
· Collaborate with cross-functional teams
· Development of high-quality database solutions
· Develop, implement and optimize stored procedures and functions using T-SQL
· Review and interpret ongoing business report requirements
· Monitoring and maintenance of Power BI Services
· Analyze existing SQL queries for performance improvements
· Document data infrastructure, processes, and workflows to ensure knowledge sharing and maintainability, contributing to a culture of continuous improvement and innovation within the team.
Qualifications and Education Requirements
· Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
· Strong programming skills in languages such as Python, Java, and SQL.
· Familiarity with big data technologies such as Apache Hadoop, Apache Spark, and NoSQL databases.
· Experience with data engineering, with a focus on building and maintaining data pipelines, data models, and scalable infrastructure.
· Strong skills in SQL and experience with data querying, transformation, and manipulation (SSIS).
· Knowledge of data governance, data security, and privacy practices.
· Knowledge of data warehousing concepts and methodologies.
· Excellent problem-solving and troubleshooting skills.
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