Senior Data Engineer

Full TimeRemoteTeam 501-1,000Since 2013H1B No SponsorCompany SiteLinkedIn

Location

California

Posted

15 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

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