Senior Data Engineer - Vice President
USD 125K-188K Senior-level Full Time
Tasks
- Design data models for business intelligence analytics and machine learning
- Design, build and maintain ETL/ELT pipelines
- Develop data pipelines with governance lineage and compliance
- Enforce data quality schema evolution and governance
- Identify and resolve performance bottlenecks in pipelines and queries
- Implement and manage lakehouse architecture using Delta Lake
- Implement data federation connectors for unified querying
- Lead design and architecture of federated data solutions
- Manage stakeholder and client communication and expectations
- Operate in agile development environment
- Optimize Spark workloads and Databricks clusters
- Provide technical leadership and mentor junior engineers
- Support development and deployment of AI models
Perks/Benefits
- 401k
- Life, accident, and disability insurance
- Medical, dental, and vision coverage
- Paid Holidays
- Paid time off
- Sick leave
- Wellness programs
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Agile | Amazon Redshift | Amazon S3 | Apache Iceberg | Azure | Azure Data | Azure Data Factory | Azure Synapse | Azure Synapse Analytics | BigQuery | Cloud Composer | Cloud Dataflow | Cloud platform | Data Factory | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Security | Databricks | Delta Lake | Docker | ELT | ETL | Google Cloud | Google Cloud Composer | Google Cloud Dataflow | Google Cloud Platform | Kubernetes | PySpark | Python | Scrum | Snowflake | Spark SQL | Starburst | Synapse Analytics | Trino | Unity Catalog | Vector Databases
Education
Roles
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