Senior Data Modeler
LOUISVILLE, KY, United States
USD 130K-149K (estimate) Senior-level Full Time
Tasks
- Analyze and improve data model and workflow performance scalability and maintainability
- Architect scalable ETL and ELT pipelines
- Build and optimize distributed data processing workflows
- Collaborate on access controls encryption secrets management and compliance
- Define data modeling standards best practices and naming conventions
- Design and optimize data models for enterprise reporting analytics and data science
- Design data lake and data warehouse architecture including partitioning and schema evolution
- Develop and optimize batch and streaming data ingestion frameworks
- Ensure data pipeline performance reliability observability and recoverability
- Maintain data dictionaries ER diagrams and metadata documentation
- Mentor junior engineers and modelers
- Optimize SQL PySpark and Python for analytics performance
- Translate business requirements into data structures
- Troubleshoot and resolve data engineering and pipeline issues
Perks/Benefits
- N/A
Skills/Tech-stack
API Management | Automated testing | Azure | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Event | Azure Event Hubs | Azure SQL | Azure SQL Database | Azure Synapse | Azure Synapse Analytics | CI/CD | Data Cataloging | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lakehouse | Data Modeling | Data Vault | Data Vault Modeling | Databricks | Databricks Delta | Databricks Delta Lake | Delta Lake | Dimensional Modeling | ELT | ETL | Event Hubs | Git | Kafka | MDM | NoSQL | Postman | Power BI | PySpark | Python | Qlik | Relational modeling | SQL | SQL Database | Scala | Secrets management | Snowflake Schema | Spark Streaming | Star Schema | Synapse Analytics | Tableau | Vault modeling
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