Software Engineer

Posted 5 Days Ago
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Sector 135, Gautam Buddha Nagar, Uttar Pradesh
Mid level
Fintech • Healthtech • Analytics
The Role
The Software Engineer will design and implement a centralized data warehouse for ETL, reporting, and analytics, working in Azure with Scala, Spark, and various databases. The role involves collaboration with Agile teams to solve business problems through data analysis and innovative solutions, with responsibilities including mentoring and managing peer engineers.
Summary Generated by Built In

R1 RCM India is proud to be recognized amongst India's Top 50 Best Companies to Work For TM 2023 by Great Place To Work® Institute. We are committed to transform the healthcare industry with our innovative revenue cycle management services. Our goal is to ‘make healthcare simpler’ and enable efficiency for healthcare systems, hospitals, and physician practices. With over 30,000 employees globally, we are about 14,000 strong in India with offices in Delhi NCR, Hyderabad, Bangalore, and Chennai. Our inclusive culture ensures that every employee feels valued, respected, and appreciated with a robust set of employee benefits and engagement activities.

Job Description:

  • We are seeking a Data Engineer with 4-6 years of experience to join our Data Platform team. This role will report to the Manager of data engineering and be involved in the planning, design, and implementation of our centralized data warehouse solution for ETL, reporting and analytics across all applications within the company.
  • Deep knowledge and experience working with Scala and Spark.
  • Experienced in Azure data factory, Azure Data bricks, Azure Synapse Analytics, Azure Data Lake.
  • Experience working in Full stack development in .Net & Angular.
  • Experience working with SQL and NoSQL database systems such as MongoDB, Couchbase.
  • Experience in distributed system architecture design.
  • Experience with cloud environments (Azure Preferred).
  • Experience with acquiring and preparing data from primary and secondary disparate data sources (real-time preferred).
  • Experience working on large scale data product implementation, responsible for technical delivery, mentoring and managing peer engineers.
  • Experience working with Databricks is preferred.
  • Experience working with agile methodology is preferred.
  • Healthcare industry experience is preferred.

Job Responsibilities:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions.
  • Work with other team with deep experience in ETL process, distributed microservices, and data science domains to understand how to centralize their data.
  • Share your passion for staying experimenting with and learning new technologies.
  • Perform thorough data analysis, uncover opportunities, and address business problems.
  • Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.

Working in an evolving healthcare setting, we use our shared expertise to deliver innovative solutions. Our fast-growing team has opportunities to learn and grow through rewarding interactions, collaboration and the freedom to explore professional interests.

Our associates are given valuable opportunities to contribute, to innovate and create meaningful work that makes an impact in the communities we serve around the world. We also offer a culture of excellence that drives customer success and improves patient care. We believe in giving back to the community and offer a competitive benefits package. To learn more, visit: r1rcm.com

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Top Skills

.Net
Angular
Scala
SQL
The Company
HQ: Murray, UT
10,001 Employees
On-site Workplace
Year Founded: 2003

What We Do

R1 is a leading provider of technology-driven solutions that transform the patient experience and financial performance of healthcare providers

R1’s proven and scalable operating models seamlessly complement a healthcare organization’s infrastructure, quickly driving sustainable improvements to net patient revenue and cash flows while reducing operating costs and enhancing the patient experience.

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