Data Engineer, Principal (Hybrid)
Tasks
- Apply DevOps and DataOps practices with CI CD automated testing infrastructure as code monitoring and alerting
- Apply data modeling with Data Vault 2 0 dimensional and domain models
- Collaborate using agile methodologies
- Design and optimize cloud data lake data warehouse and data mart solutions
- Enable AI ML ready trustworthy and accessible data assets
- Engineer ELT ETL ingestion and processing
- Identify performance bottlenecks and optimize data workflows
- Implement data quality validation observability lineage and governance
- Lead data pipeline architecture and implementation
- Provide technical mentorship and engineering standards
Perks/Benefits
Skills/Tech-stack
Agile | Azure Synapse | Azure Synapse Analytics | Bitbucket | CI/CD | DBT | DBT Cloud | DBT Core | Data Governance | Data Lineage | Data Management | Data Observability | Data Quality | Data Security | Data Vault | Data Vault 2 | Data Vault 2 0 | Data integration | Databricks | Dimensional Modeling | Distributed Systems | ELT | ETL | Git | Infrastructure as Code | Jira | Lakehouse Architecture | Master Data | Master Data Management | NoSQL | Parallel Computing | Python | SQL | Snowflake | Synapse Analytics | “as-code”
Education
Roles
Data Engineer | Engineer | Principal | Principal Data Engineer
Regions
Countries
States
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