onsite
Senior Analytics Engineer - accurx
Data Engineer
Lead the design and implementation of scalable data pipelines and analytical models, driving data-driven decision making across healthcare communication using Python, SQL, Spark, and AWS, while collaborating with Data Engineering and BI teams to deliver actionable insights.
About the role
Key Responsibilities
- Design, develop, and maintain robust data pipelines that ingest, transform, and store healthcare communication data at scale.
- Collaborate with Data Engineering and BI teams to build and optimize data models that support real‑time analytics and reporting.
- Implement advanced analytics solutions using Python, Spark, and SQL to uncover insights and drive strategic initiatives.
- Leverage AWS services (Redshift, S3, Glue) to ensure high availability, security, and performance of data assets.
- Create and maintain interactive dashboards and reports in BI tools such as Tableau or Power BI for cross‑functional stakeholders.
- Document data architecture, pipeline logic, and best practices to enable knowledge sharing and governance.
Requirements
- 5+ years of experience in analytics engineering or related roles within a data‑centric organization.
- Proficiency in Python, SQL, and Spark for data processing and modeling.
- Hands‑on experience with AWS data services (Redshift, S3, Glue, Athena).
- Strong understanding of data warehousing concepts and dimensional modeling.
- Experience building dashboards and reports in Tableau or Power BI.