Senior Data Engineer
Location
California
Posted
13 hours ago
Salary
$130.3K - $195.5K / year
Bachelor Degree5 yrs expEnglishAWSAzureCloudETLGoogle Cloud PlatformHadoopMS SQL ServerPythonSparkSQL
Job Description
• Translate business requirements into specifications that will be used to implement the required reports and dashboards
• Work with business units to gather requirements, development and delivery of business intelligence & reporting services and lead end to end Data delivery
• Develops and implements business intelligence & analytics to support organizational initiatives
• Build rich and dynamic dashboards using out-of-box features, customizations, and visualizations
• Design and publish custom dashboards for business functions, stakeholders, and corporate users around the company
• Design, model, develop & optimize stored procedures to meet data management and data reporting objectives
• Design and model data flows and ETL procedures ensuring data quality and integrity
• Troubleshoot and resolve issues with the processes used and the content produced by the BI platform
• Provide ongoing maintenance support through troubleshooting, report modifications and optimization
Job Requirements
- 5+ years of professional experience in Data Engineering / ETL development & Reporting services
- 5+ years of experience with BI/Reporting software products (MSBI) and knowledge of Healthcare Industry standards and requirements
- 5+ years of database experience with MS SQL Server
- Write efficient Azure SQL queries and stored procedures for high-performance data processing
- 5+ years of experience in healthcare industry with proven understanding of data terminology
- Healthcare Experience and Clear understanding & working knowledge of HIPAA protocols
- Extensive hands-on experience with Microsoft’s Power-BI/SSRS/Azure Data Factory (ADF)and other cloud-based BI and Reporting services
- Extensive experience in Advance Analytics tools like -Azure ML, CRAN R Library, Azure Functions, Azure Cognitive Services
- Extensive hands-on experience with Big Data platforms (Databricks, Spark, Hadoop, Python or similar) to process and transform large datasets is a plus
- Experience with Azure, AWS or GCP is a plus
- Experience with DevOps pipelines and CI/CD
- BS in Computer Science, IT or equivalent and/or equivalent experience
- Microsoft Azure Certification is a plus.
Benefits
- Health insurance
- 401(k) retirement plan
- Paid time off
- Professional development opportunities