Senior Data & Analytics Engineer (Azar)
Core
Design, operate, and own Silver+/Mart data products and semantic layers using Airflow and dbt to ensure data integrity, reproducibility, and reliability for business applications.
Role type
Senior Data & Analytics Engineer (Modern Data Stack)
Builds
Production data products, semantic layers, and analytics serving dashboards/reports for internal stakeholders.
Domain
Technology / Data Engineering / Modern Data Stack
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Airflow, dbt, Data Warehouse modeling, CI/CD, Version control, Data Governance, Data Quality testing, Cross-team communication
Preferred skills
Semantic layer frameworks (e.g., MetricFlow), Real-time/Streaming data processing, Data Privacy/Compliance engineering, Product Analytics, Growth Marketing, FP&A, AI/ML
Technologies
Airflow, dbt, Databricks, BigQuery, EKS
Responsibilities
Design and operate Silver+/Mart data products ensuring data integrity and reliability; Build and manage semantic layers including metric definitions and versioning; Operate data quality and observability systems; Standardize analytics serving for dashboards and reports; Contribute to experiment automation and Reverse ETL specifications; Implement data privacy and compliance engineering controls.
Seniority
Senior, hands-on IC