Design and implement scalable data pipelines and architectures on Azure Databricks. Optimize ETL/ELT workflows, ensuring efficiency in data processing, storage, and retrieval. Leverage Apache Spark, Delta Lake, and Azure-native services to build high-performance data solutions. Ensure best practices in data governance, security, and compliance within Azure environments. Troubleshoot and fine-tune Spark jobs for optimal performance and cost efficiency. Lead the migration of Azure SQL to Azure Databricks, ensuring a seamless transition of data workloads. Design and implement scalable data pipelines to extract, transform, and load (ETL/ELT) data from Azure SQL into Databricks Delta Lake. Optimize Azure SQL queries and indexing strategies before migration to enhance performance in Databricks
Numbers & Facts
Location
Cincinnati, OH
Industry
Other/Not Classified
Company Size
100 to 499 employees
Skills
Apache Sparkunmatched
Best Practicesunmatched
Cost Controlunmatched
Data Managementunmatched
Data Processingunmatched
Data Recoveryunmatched
Data Storageunmatched
Database Extract Transform and Load (ETL)unmatched
Identify Issuesunmatched
Information/Data Security (InfoSec)unmatched
Microsoft Windows Azureunmatched
Migration Strategyunmatched
Query Optimizationunmatched
SQL (Structured Query Language)unmatched
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