Data Engineer, Consultant
USD 125K-164K (estimate) Senior-level Full Time
Tasks
- Apply advanced data modeling techniques
- Architect scalable secure highly available data solutions
- Collaborate in agile DevSecOps pod model
- Communicate technical concepts to stakeholders
- Define data engineering standards patterns and frameworks
- Drive incident analysis stabilization and performance tuning
- Embed data quality testing security and observability
- Implement data products from development to production
- Lead data pipeline design
- Optimize performance reliability and cloud cost
- Prepare AI ML ready governed datasets
- Provide design and code review mentorship
- Translate business requirements into technical architecture
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Airflow | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Synapse | Azure Synapse Analytics | CI/CD | Compliance | Data Architecture | Data Factory | Data Lake Storage | Data Modeling | Data Quality | Data Vault | Data Vault 2.0 | Data Warehousing | Data integration | DataOps | Databricks | Dimensional Modeling | Infrastructure as Code | Observability | Privacy | SQL | Security | Snowflake | Synapse Analytics | Tidal | “as-code”
Education
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