Lead, Data Engineer
Tasks
- Build dashboards for actionable insights
- Conduct data architecture review sessions
- Conduct data cleansing
- Create architectural artifacts and documentation
- Develop data pipelines architecture
- Ensure adherence to data standards
- Maintain data frameworks
- Maintain ontologies and ontology resources
- Manage data governance metadata and ontology standards
- Orchestrate data pipelines
- Oversee data ETL ELT pipelines
- Perform requirements decomposition
- Provide design reviews for data sourcing and pipelines
- Recommend data platform improvements
- Use Palantir Foundry for data integration
Perks/Benefits
- 401k match
- Company-Paid Holidays
- Disability insurance
- Education assistance
- Employee assistance program
- Flexible spending accounts
- Health insurance
- Paid time off
- Parental leave
- Work-life balance
Skills/Tech-stack
Azure Data | Azure Data Factory | Business Intelligence | Data Architecture | Data Cleansing | Data Factory | Data Governance | Data Modeling | Data Pipeline Development | Data Warehousing | Data integration | Data pipeline | Databricks | ELT | ETL | Generative AI | JavaScript | LLM integration | Metadata Management | Ontology management | OpenAI | Palantir Foundry | Pandas | Pipeline Development | PySpark | Python | RAG | Retrieval-Augmented Generation | SDLC | SSIS | Semantic Search | Snowflake Cortex | Spark SQL | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer
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