General Dynamics Information Technology
General Dynamics Information Technology
General Dynamics Information Technology (GDIT) सरकारी और रक्षा संगठनों को परामर्श, डिजिटल आधुनिकीकरण और एप्लिकेशन सेवाएँ प्रदान करती है। इसका कार्य कृत्रिम बुद्धिमत्ता, क्लाउड कंप्यूटिंग, साइबर सुरक्षा, उच्च-प्रदर्शन कंप्यूटिंग और क्वांटम तकनीकों के साथ-साथ लॉजिस्टिक्स और आपूर्ति शृंखला प्रबंधन, खुफिया और मातृभूमि सुरक्षा से जुड़े महत्वपूर्ण कार्यक्रमों तक फैला हुआ है। कंपनी परामर्श, स्वास्थ्य सेवा और लॉजिस्टिक्स क्षेत्रों में भी काम करती है, तथा इसकी भर्ती पहलों में विविध टीमों और कर्मचारियों के कल्याण पर जोर दिया जाता है। GDIT की भूमिकाएँ उन पेशेवरों के लिए उपयुक्त हो सकती हैं जो उभरती तकनीकों को जटिल सार्वजनिक क्षेत्र और राष्ट्रीय सुरक्षा चुनौतियों पर लागू करने में रुचि रखते हैं।

Senior Azure Cloud Data Engineer

Modernize Indian Health Service clinical records by building Azure data pipelines and scalable healthcare data models. Develop ETL workflows and PySpark transformations for enterprise health data.

विवरण

  • Modernize Indian Health Service health records by creating a central repository for clinical data and longitudinal patient records.
  • Build Azure data pipelines that consolidate clinical information from more than 200 healthcare facilities.
  • Automate ETL workflows for high-volume JSON and HL7 FHIR data with Azure Data Factory and Azure Data Lake.
  • Develop and optimize PySpark processes to transform and enrich large healthcare datasets.
  • Create and maintain enterprise data models that standardize clinical information across facilities and sources.
  • Set up monitoring and alerts for data quality, reliability, and pipeline performance.
  • Work with architects, data engineers, and stakeholders to shape cloud data architecture and integration patterns.
  • Guide teams on Azure cloud and data engineering practices.
  • Contribute to the Indian Health Service Four Directions Data Warehouse modernization project.

आवश्यकताएँ

  • Relevant technical training, certifications, or a degree plus at least three years of relevant experience, or an equivalent combination of education and experience.
  • At least three years of related experience.
  • Ability to lead big data engineering work on database migrations and Azure data pipeline initiatives.
  • Extensive experience with Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure Data Factory, Azure Monitor, and Spark clusters.
  • Proficiency in SQL and data modeling for enterprise databases and analytics environments.
  • Strong Python skills, including PySpark, and experience with .NET.
  • Experience building infrastructure as code with Bicep, ARM templates, or Terraform.
  • Experience developing RESTful APIs in Azure.
  • Demonstrated experience implementing CI/CD pipelines and DevOps practices for data solutions.
  • Ability to obtain Public Trust Level 5 clearance.
  • Must have lived in the United States for at least three of the past five years to be eligible for clearance.
  • U.S. citizenship is not required.
  • Work visa sponsorship is unavailable.
  • A master's degree in computer science, information systems, or a related field is preferred.
  • Relevant Azure certifications are preferred.
  • Experience with healthcare data systems, clinical workflows, HL7 FHIR, Power BI, Agile methods, and technical leadership or mentoring is preferred.

लाभ

  • 401(k) plan with company match.
  • Customizable health coverage, with medical, dental, and vision plan options.
  • Health Savings Account options.
  • Flexible work weeks where available.
  • Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave.
  • Typically 15 days of paid leave per calendar year.
  • 10 paid holidays each year.
  • Up to 160 hours of paid family leave in a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage.
  • Life insurance.
  • Accidental death and dismemberment insurance.
  • Personal accident insurance.
  • Critical illness insurance.
  • Business travel and accident insurance.
  • An internal mobility team to help employees shape their careers.
  • Collaborative teams and career development opportunities.

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