Principal Data Engineer
Tasks
- Analyze large datasets to identify trends and risks
- Architect analytics platforms
- Automate data ingestion transformation and reporting
- Build semantic models for self service analytics
- Define telemetry and instrumentation strategies
- Design, build, scale data pipelines
- Develop data models and reporting frameworks
- Develop executive dashboards and KPI frameworks
- Establish data quality governance lineage observability
- Lead cross-functional data initiatives
- Manage program schedules dependencies risks and stakeholder communications
- Standardize reporting methodologies and sources of truth
- Transform raw data into business insights
Perks/Benefits
- N/A
Skills/Tech-stack
Analytics Cloud | Apache Airflow | Apache Kafka | Apache Spark | Big Data | Business Intelligence | Cloud Computing | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Databricks | Distributed Systems | ELT | ETL | Google BigQuery | KPI | Looker | Metadata Management | Observability | Oracle Analytics | Oracle Analytics Cloud | Power BI | Reporting architecture | SQL | Semantic data | Semantic data modeling | Snowflake | Tableau
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
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