SpectraMedix named top value-based contract analytics solution provider by Healthcare Tech Outlook  >> Learn More

 

 

 

 

ROLE: LEAD DATA ENGINEER

LOCATION: GURUGRAM(HYBRID 02 DAYS FROM OFFICE)

EXPERIENCE: 7-10 YEARS

 

DESCRIPTION:
REAL-TIME, ACTIONABLE ANALYTICS THAT FACILITATE HEALTHCARE ACCOUNTABILITY

 

SpectraMedix offers a portfolio of products that enable hospitals or ambulatory care practitioners to improve the quality of patient care, achieve financial goals and successfully transition to performance and risk-based payment models.

Our cloud-based, turnkey clinical analytics solutions transform real-time and retrospective data into predictive, actionable analytics that drive performance improvement and results across the continuum of care. Timely information that integrates with multiple workflow systems allows hospitals to anticipate and solve clinical challenges, effectively coordinate care, and maximize incentives for CMS and Joint Commission initiatives such as the Readmissions Reduction Program, Core Measures Compliance, the Value-based Purchasing Program, and Meaningful Use Stage 2 Compliance for Clinical Quality Measures, and Accountable Care Organizations (ACOs). SaaS delivery enables quick deployment and scaling of our solutions for the range of hospitals and ambulatory care settings.

 

ROLE: LEAD DATA ENGINEER

LOCATION: GURUGRAM(HYBRID 02 DAYS FROM OFFICE)

EXPERIENCE: 7-10 YEARS

 

ROLES & RESPONSIBILITIES:

  • Data Engineering and Management: Create, maintain, and update data models; build infrastructure for optimal data extraction, transformation, and loading (ETL)
  • Migration and Implementation: Lead the migration of legacy Java-based data pipelines to Databricks; design and maintain scalable data pipelines using Databricks and Spark
  • Performance Analysis and Optimization: Analyze and optimize Databricks jobs and queries; monitor and tune Databricks environments for scalability and reliability. Address data-related technical issues; assist teams with data transformation workloads; perform root cause analysis to identify improvement opportunities
  • Technical Improvement: Implement best practices for efficient data processing and storage; develop processes that support data transformation, workload management, data structures, and metadata
  • Technical Leadership: Lead and mentor a team of data engineers; serve as the go-to person for Databricks-related queries; conduct Proof of Concepts (POCs) to demonstrate Databricks capabilities

 

TECHNICAL REQUIREMENTS:

  • Proficiency in Python/PySpark
  • Proven experience with Databricks and Spark, including building and optimizing data pipelines
  • Strong data modelling experience and advanced SQL knowledge
  • Experience with Delta Lake and performance analysis in Databricks
  • Knowledge of message queuing, stream processing, and scalable big data stores
  • Experience with any ETL Tool / Big Data technologies in past is preferable

 

EDUCATIONAL QUALIFICATIONS:

  • Bachelor’s or Master’s degree in Engineering, Computer Science, or a related technical field

Please email your resume to jobs@spectramedix.com