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R1 RCM Recruitment 2026
R1 RCM
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1 month ago
Qualification
B.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:
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