Competitive Data Engineering Manager
Tasks
- Automate pipelines and agents for competitive intelligence
- Define data schemas validation checks and monitoring
- Design, build, and maintain scalable data pipelines
- Develop automated dashboards and reporting layers
- Enable self serve analytics with reusable data models
- Establish ETL ELT frameworks for data quality and timeliness
- Establish best practices for data governance and pipeline reliability
- Identify scalability bottlenecks and propose technical solutions
- Implement AI driven workflows for data processing analysis and reporting
- Ingest transform and integrate third party vendor datasets
- Onboard external vendor data sources
- Optimize data models storage and compute efficiency
- Provide technical guidance on feasibility timelines and data methodologies
- Standardize unify disparate data sources into scalable data model
Perks/Benefits
- N/A
Skills/Tech-stack
Automation | Data Governance | Data Modeling | Data Pipelines | Data Quality | Data Warehousing | Data integration | ELT | ETL | Language Models | Large Language Models | Machine Learning | Prompt engineering | Python | SQL | Tableau | Third Party | Third-party data | Third-party data integration
Education
N/A
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