The Data Platform Engineer shall be responsible for maintaining current data platforms, troubleshooting issues, ensure data integrity, implement data platform changes, manage security, and provide on-call support. Current data platforms include – SQL Server, Azure SQL Database, Azure SQL Datawarehouse, Azure Data Lake, SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), and PowerBI. Teams supported include: Application Engineering, Data Engineering, Decision Science, and Business Analytics.
A successful candidate for this position must -
- Have experience with cloud computing environments and applications (AWS, Azure, Google Cloud).
- Have experience with setup, deployment and hardening of data-intensive environments using cloud-based database and storage technologies.
- Have experience in creating pipelines to ingest and process structured and unstructured data sources into analytical platforms using batch processes that leverage cloud native toolset.
- Be able to identify the right tools for the right job to deliver testable, maintainable, and modern data solutions.
- Be comfortable with researching data questions, identify root causes, and interact closely with technical resources on various data related decisions.
- Understand how to profile code, queries, and optimize performance.
- Understand query performance optimization techniques and best practices.
- Become familiar with the business and gain domain knowledge.
- Aspire to be efficient, thorough, and proactive.