Sutherland

Analytics Engineer

Sutherland

full-time

Posted on:

Location Type: Remote

Location: India

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Tech Stack

BigQueryCloudFlaskPythonSQL

About the role

  • Develop comprehensive LookML models that abstract Gold layer complexity into business-friendly metrics
  • Create reusable, governed KPI definitions with consistent business logic and calculations
  • Implement data quality rules and validation checks for business-critical metrics
  • Design aggregate awareness and performance optimization patterns in LookML
  • Document metric definitions, calculation logic, and data lineage for business stakeholders
  • Establish a metrics catalog with clear ownership and SLA definitions
  • Build interactive dashboards and explores in Looker consuming Gold layer BigQuery datasets
  • Design RESTful APIs using Cloud Functions or API Gateway for programmatic data access
  • Implement embedded analytics solutions and white-label BI capabilities where needed
  • Create self-service analytics capabilities for business users with appropriate guardrails
  • Develop row-level security and dynamic data masking within Looker based on user roles
  • Partner with ML teams to expose Gold layer features through Vertex AI for advanced analytics.
  • Monitor data freshness, completeness, and accuracy of Gold layer datasets
  • Create alerting mechanisms for KPI anomalies and data quality issues
  • Establish feedback loops between consumption layer insights and upstream data quality improvements
  • Document business glossary, data dictionary, and metric definitions.

Requirements

  • 4+ years experience with Looker development, LookML, and semantic layer design
  • Strong SQL skills with BigQuery experience and query optimization
  • Deep understanding of dimensional modeling consumed by BI tools (star schema, conformed dimensions)
  • Experience building RESTful APIs for data consumption (Python/Flask, Cloud Functions, API Gateway)
  • Knowledge of BI best practices, dashboard design principles, and data visualization
  • Ability to translate business requirements into technical data models and metrics
  • Experience implementing role-based access control and data security in BI platforms
  • Looker Developer or LookML Developer certification (preferred)
  • Experience with dbt Cloud metrics layer or similar semantic layer technologies (preferred)
  • Familiarity with Vertex AI and exposing analytics features for ML consumption (preferred)
  • Background in healthcare KPIs, clinical quality measures, or population health metrics (preferred)
  • Knowledge of Google Cloud Data Catalog and metadata management (preferred)
  • Experience with embedded analytics frameworks and API-driven consumption patterns (preferred)
  • Understanding of data contracts and SLA management for analytics products (preferred).
Benefits
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Hard Skills & Tools
LookMLSQLBigQueryRESTful APIsPythonFlaskdbt Clouddata modelingdata quality rulesdimensional modeling
Soft Skills
communicationcollaborationproblem-solvinganalytical thinkingattention to detaildocumentationbusiness acumentranslating requirementsfeedback managementownership
Certifications
Looker Developer certificationLookML Developer certification