Senior Data Engineer
Tasks
- Analyze large datasets for trends and bottlenecks
- Architect analytics platforms
- Automate data ingestion transformation and reporting
- Break down ambiguous problems into workstreams and deliverables
- Build and deliver business intelligence solutions
- Build semantic models for self service analytics
- Define telemetry and instrumentation strategies
- Design and scale data pipelines
- Develop data models and reporting frameworks
- Develop executive dashboards scorecards and KPI frameworks
- Develop functional specifications and drive delivery
- Establish data quality governance lineage and observability standards
- Lead cross functional initiatives and execution
- Manage program schedules dependencies risks and stakeholders
- Standardize reporting methodologies and sources of truth
- Support strategic planning and investment decisions with analysis
Perks/Benefits
- 401k matching
- Dental insurance
- Disability insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
Skills/Tech-stack
Analytics Cloud | Analytics Platforms | Apache Airflow | Apache Kafka | Apache Spark | Business Intelligence | Cloud Computing | Data Governance | Data Lakes | Data Lakeshouse | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Databricks | Distributed Systems | ELT | ETL | Google BigQuery | Instrumentation | KPI | Looker | Metadata Management | Observability | Oracle Analytics | Oracle Analytics Cloud | Power BI | SQL | Semantic Modeling | Snowflake | Tableau | Telemetry
Education
Roles
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