Software Engineer II

R1-Rc

Dadri

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Job summary

R1 RCM India is seeking a Data Engineer with 5-8 years of experience to join the Data Platform team. The role involves planning, designing, and implementing a centralized data warehouse for ETL, reporting, and analytics across the company.

Key qualifications include Python/Scala, PySpark, Spark SQL, and extensive Azure Cloud experience with Databricks and Delta Lake. The ideal candidate thrives in a fast-growing healthcare data environment and collaborative Agile teams.

Qualifications

  • Deep knowledge of Python/Scala and PySpark.
  • Experience with Spark SQL and data pipelines.
  • Strong understanding of Azure cloud services and Databricks.

Responsibilities

  • Collaborate with Agile teams to design and implement data solutions.
  • Build and maintain ETL processes and centralized data warehouse components.
  • Develop dashboards and analytics across applications.

Skills

Python
Scala
PySpark
Spark SQL

Tools

Azure Databricks
Azure Blob Storage
Azure Data Lake
Delta Lake

Job description

R1 RCM India is proud to be recognized amongst India's Top 50 Best Companies to Work For 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.Position SummaryDescription:We are seeking a Data Engineer with 5 - 8 year 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.Qualifications:Deep knowledge and experience working with Python/Scala and PySparkExperienced in Azure Data bricks, Azure Blob Storage, Azure Data Lake, Delta lake.Experience working with Spark SQLExperience in creating pipelines and databricks dashboardsExperience with Azure cloud environmentsExperience with acquiring and preparing data from primary and secondary disparate data sourcesExperience working on large scale data product implementation, responsible for technical delivery.Good understanding of OOPs and design patternsExperience working with agile methodology preferred.Healthcare industry experience preferred.Responsibilities:Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutionsWork with other team with deep experience in ETL process, distributed microservices, and data science domains to understand how to centralize their dataShare 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.comVisit us on Facebook
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