Senior Database Engineer
Tasks
- Analyze and optimize production data solutions for performance locking scalability
- Build and maintain production data pipelines for reliable performant analytics
- Communicate data architecture designs to business and technical audiences
- Create data governance procedures for regulatory compliance
- Design and build Spark and Azure Data Factory pipelines for batch and streaming
- Design and implement reporting solutions for business stakeholders
- Design and operate hybrid storage patterns for OLTP and analytics workloads
- Develop data lake architectures using Medallion Architecture
- Manage Delta table lifecycles schema evolution Z ordering time travel and Change Data Feed
- Provide technical consulting for application development teams
- Write and optimize SQL across distributed and transactional workloads
Perks/Benefits
- 401k company contribution
- Career progression
- Dental insurance
- Flexible vacation policy
- Health insurance
- Personal growth opportunities
- Vision insurance
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Databricks | Azure SQL | Azure SQL Database | Batch Processing | Change Data Feed | Common table expressions | Cosmos DB | Data Factory | Data Lake | Data Lakehouse | Data Modeling | Data feed | Databricks SQL | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | ETL | EXPLAIN ANALYZE | Elastic | Elasticsearch | Liquid clustering | Logical modeling | Medallion Architecture | Optimize | PGVector | Pandas | Physical Modeling | Plan analysis | PostgreSQL | Power BI | PySpark | Query Optimization | Query Plan | Query plan analysis | SQL | SQL Database | SQL Server | Schema evolution | Streaming | Time Travel | Transaction log | VACUUM | Window Functions | Z-ordering
Education
N/A
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