Principal Data Engineer
Tasks
- Architect analytics platforms
- Automate data ingestion and reporting
- Build ETL and ELT processes
- Create KPI frameworks and executive reporting
- Define telemetry and instrumentation strategies
- Deliver business intelligence dashboards
- Design data pipelines for cloud systems
- Develop data models and datasets
- Ensure trusted metrics and sources of truth
- Establish data lineage and observability
- Implement data governance and data quality standards
- Lead cross-functional technical initiatives
- Perform dataset analysis for insights
- Plan schedules dependencies risks and stakeholders
- Translate requirements into technical workstreams
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Apache Kafka | Apache Spark | Business Intelligence | Cloud Computing | Cloud infrastructure | Data Governance | Data Lakes | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Data redaction | Databricks | Distributed Systems | ELT | ETL | Google BigQuery | KPI | Looker | Observability | Oracle Cloud | Oracle Cloud Infrastructure | PII | Power BI | SQL | Snowflake | Tableau
Education
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