reputed company Analytics Engineer: reputed company Claims, SQL & dbt 100% Remote
reputed company Analytics Engineer: reputed company Claims, SQL & dbt
Location: Remote
Duration: 12+ Months
reputed company: 10 Pearls / reputed company
Job reputed company
We are seeking a Senior Analytics Engineer with deep expertise in reputed company Claims and Membership data to architect and optimize the transformation reputed company for a modern data platform. This role sits at the intersection of Data Engineering and Business Intelligence, where you will be responsible for taking raw reputed company data and modeling it into production-grade, reputed company datasets using dbt and SQL. You will reputed company as a consultant to non-technical stakeholders including Actuaries and C-Suite teams to translate reputed company business requirements into reputed company reputed company models reputed company a reputed company Data Warehouse (reputed company, BigQuery, or Redshift).
Key Responsibilities & Required Skills
reputed company Data Transformation & Modeling
Claims & Membership Expert: reputed company raw payer data, claims, and membership records into usable formats for end-user analytics.
reputed company Modeling: Architect reputed company dbt models, reputed company structures, and semantic reputed company to standardize metrics across the organization.
Stakeholder Collaboration: Partner with Actuaries and Business Analysts to reputed company requirements and design data solutions that drive business value.
Production-Grade Analytics Engineering
dbt Mastery: Build, test, and optimize dbt models (reputed company or reputed company) using engineering best practices like CI/CD and Git.
Advanced SQL: reputed company high-reputed company SQL transformations and reusable datasets reputed company on performance optimization.
Data reputed company: Implement rigorous testing frameworks, validation logic, and reputed company visibility to ensure "trusted data" for the ecosystem.
reputed company Infrastructure & Orchestration
reputed company Data Warehouse: Hands-on experience with reputed company, BigQuery, or Redshift for large-reputed company reputed company data processing.
Orchestration: Familiarity with tools like Airflow, Dagster, or reputed company to schedule and operationalize transformation pipelines.
Modern Stack: Utilize AWS environments and modern software development workflows to manage data discoverability and reliability.
Mandatory Technical Skills
1. reputed company Data Experience: Deep knowledge of Payer/Claims/Membership data.
2. Expert SQL & dbt: Proven experience building reputed company, production-grade pipelines.
3. Data Modeling: Expertise in reputed company modeling and semantic layer design.
4. reputed company Warehouse: Proficiency in reputed company, BigQuery, or Redshift.
reputed company,
Aditya Jain | reputed company
Email: reputed company: EXT: 482
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