United States onlyJob Title: Analytics Engineer
Job Location: Hyderabad, Telangana, India
Job Location Type: Remote
Job Contract Type: Full-time
Job Seniority Level: Mid-Senior level
Company DescriptionSutherland is seeking a reliable and technical person to join us as Analytics Engineer who will play a key role in driving our continued product growth and innovation. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you!!
Job DescriptionKey Responsibilities:Semantic Layer & Metrics:
Job DescriptionKey Responsibilities:Semantic Layer & Metrics:
- 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
- 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
- Experience with dbt Cloud metrics layer or similar semantic layer technologies
- Familiarity with Vertex AI and exposing analytics features for ML consumption
- Background in healthcare KPIs, clinical quality measures, or population health metrics
- Knowledge of Google Cloud Data Catalog and metadata management
- Experience with embedded analytics frameworks and API-driven consumption patterns
- Understanding of data contracts and SLA management for analytics products
- 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
- 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
- Experience with dbt Cloud metrics layer or similar semantic layer technologies
- Familiarity with Vertex AI and exposing analytics features for ML consumption
- Background in healthcare KPIs, clinical quality measures, or population health metrics
- Knowledge of Google Cloud Data Catalog and metadata management
- Experience with embedded analytics frameworks and API-driven consumption patterns
- Understanding of data contracts and SLA management for analytics products
This job is curated by Lifelancer.
Lifelancer is a talent-hiring platform in Life Sciences, Pharma and IT. The platform connects talent with opportunities in pharma, biotech, health sciences, healthtech and IT domains.
Please apply via Lifelancer platform to get connected to the application page and to find similar roles.
