
Senior Data Engineer
1 dia atrás
Unlock the full potential of your data engineering skills in a fast-paced healthcare environment.
About the Role- Migrate on-prem SQL warehouses to Snowflake, leveraging expertise in lifting and shifting existing data marts.
- Design and develop new data marts on top of Snowflake, driving business growth through data-driven insights.
- Create, test, deploy, and maintain robust data pipelines, ensuring seamless integration with AWS workflows.
- Establish a strong foundation for data reporting, empowering stakeholders with actionable intelligence.
This role requires collaboration with DevOps teams to integrate workflows in AWS, ensuring the smooth operation of data pipelines. Experience working within the healthcare industry, provider side, is highly valued. Proficiency in big data tools like Hadoop, Spark, and Kafka is also beneficial.
The ideal candidate possesses 4+ years of data engineering experience, with a deep understanding of SQL concepts, including SSIS, SSAS, and SSRS. Strong analytical and problem-solving skills are essential for success in this role.
Key Responsibilities:
- Develop and implement data pipelines using AWS services.
- Design and optimize data models for efficient querying and analysis.
- Collaborate with cross-functional teams to identify business needs and develop data solutions.
Requirements:
- 4+ years of experience in data engineering.
- Strong understanding of SQL concepts, including SSIS, SSAS, and SSRS.
- Experience working with big data tools like Hadoop, Spark, and Kafka.
- Proficiency in AWS services and cloud integration.
What We Offer:
- A dynamic work environment with opportunities for growth and development.
- Competitive compensation and benefits package.
- Collaborative team environment with experienced professionals.
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