R1 RCM Recruitment 2026
R1 RCM
QualificationB.E / B.Tech / B.Sc (Computer Science, IT, Engineering, or related)
Key Responsibilities
- Design, develop, test, and maintain robust data pipelines and ETL/ELT streaming workflows.
- Develop, optimize, and tune complex SQL queries, relational stored procedures, and structural database objects.
- Build and manage cloud-based data solutions utilizing the Snowflake data cloud and Databricks environments.
- Develop clean, maintainable data processing and automation scripts using Python.
- Monitor and troubleshoot data pipeline issues promptly to guarantee total data quality, reliability, and low uptime lag.
- Collaborate actively with business analysts, stakeholders, and sister engineering squads to capture data requirements.
- Support structural data validation, comprehensive testing, and database platform performance optimization routines.
- Document technical architectural designs, pipeline data flows, and configuration schemas.
Skills & Eligibility
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a closely related technical field.
- 0 to 3 years of hands-on experience in production software development or structural data engineering.
- Strong working knowledge of standard SQL and relational database management system (RDBMS) concepts.
- Hands-on experience or practical internship exposure working within the Snowflake environment.
- Familiarity with Databricks and distributed computing concepts like Apache Spark.
- Proficiency in using Python for structured data parsing, extraction, and script automation.
- Understanding of data warehouse concepts, schemas (Star/Snowflake), and ETL/ELT pipelines.
- Prior experience developing business dashboards and metric reports with Power BI.
- Exposure to hyperscaler cloud environments like Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
- Familiarity with Git version control trees and automated CI/CD practices.
- Basic understanding of Agile methodologies and sprint planning cycles.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a closely related technical field.
- 0 to 3 years of hands-on experience in production software development or structural data engineering.
- Strong working knowledge of standard SQL and relational database management system (RDBMS) concepts.
- Hands-on experience or practical internship exposure working within the Snowflake environment.
- Familiarity with Databricks and distributed computing concepts like Apache Spark.
- Proficiency in using Python for structured data parsing, extraction, and script automation.
- Understanding of data warehouse concepts, schemas (Star/Snowflake), and ETL/ELT pipelines.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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