Analytics Engineer

Key Responsibilities

• Data Transformation & Modeling: Build analytics-ready datasets using a layered approach (Medallion Architecture – Bronze, Silver, Gold) in Databricks.
• Delta Live Tables (DLT): Design, manage, and optimize DLT pipelines to deliver reliable and automated transformations at scale.
• Enable Self-Service: Deliver curated, governed datasets in BI tools (Looker, , etc.) to empower analysts and business stakeholders.
• Data Quality Monitoring: Implement validation and monitoring processes to ensure accuracy, consistency, and trust in data across all layers.
• Governance & Documentation: Define and maintain data naming conventions, data dictionaries, and semantic models to support standardization.
• Access & Security: Establish and enforce dataset access controls that balance governance with usability.
• Cross-Functional Collaboration: Work closely with Finance, Product, and Operations leaders, as well as analysts, ...