Data Engineer.
What you will be responsible for:
- Develop, optimize, and maintain scalable data pipelines and ETL processes to support ongoing data analysis and reporting needs.
- Investigate and troubleshoot data issues, ensuring data integrity and performance.
- Collaborate with cross-functional teams to define data requirements and implement solutions.
- Work with the TriZetto Facets product suite, including QicLink, to manage healthcare data.
- Utilize Snowflake for data warehousing and Micro
- Strategy for business intelligence and reporting.
- Develop and deploy solutions on AWS, leveraging AWS Lambda for serverless computing.
- Write and maintain clean, efficient, and reusable code in Python, R, and SQL.Implement data streaming solutions using Kafka and integrate various APIs.
- Skills and experience that will make you successful in this role
- Bachelor's degree in computer science, Information Technology, or a related field.
- Minimum of 5 years of experience as a Data Engineer, with significant experience in the healthcare industry.
- Strong understanding of healthcare industry regulations and compliance requirements.
- Must have experience working with TriZetto Facets product suite, including hands-on experience with QicLink.
- Building data pipelines using SQL, R, Python Kafka, and other technologies.
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
- Tech that is used and needed in this role
- SnowflakeMicroStrategyAWS/AWS LambdaETL processes
- Python, R, SQL, KafkaAPIs.