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Senior Data Engineer
Nimble Solutions —Hyderabad, Telangana
- Full-time
- Azure
- SQL
- Machine learning
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Senior Data Engineer

Nimble Solutions -
Hyderabad, Telangana

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Job details

Full-time

Qualifications

Power BI
Data modeling
Azure
SQL
Machine learning
Scala
EMR systems
Agile
Predictive analytics
Python

Full job description

Description:

Company Overview:

Join a leading Revenue Cycle Management (RCM) company dedicated to transforming healthcare data into actionable insights. We leverage cutting-edge technology to streamline financial and operational processes, improving efficiency and patient outcomes. We are looking for a Senior Data Engineer to help optimize data pipelines and build a next-generation data infrastructure incorporating technologies such as Microsoft Fabric, Azure Synapse, Databricks, and Snowflake.

Job Summary:

As a Senior Data Engineer, you will play a crucial role in designing, building, and maintaining robust data pipelines and architectures. You will optimize data workflows, ensure scalability, and contribute to the development of a new data infrastructure that integrates with Microsoft Fabric, Azure Synapse, Databricks, and Snowflake and other cloud-based technologies. This role requires expertise in cloud-based data solutions, big data processing, and the ability to collaborate with cross-functional teams to enhance healthcare data analytics and operational efficiency.

Key Responsibilities:

Design, develop, and optimize scalable ETL/ELT data pipelines for healthcare RCM processes
Build and maintain a modern data infrastructure incorporating Microsoft Fabric, Azure Synapse, Databricks, and Snowflake and other cloud technologies
Collaborate with data architects, analysts, and engineering teams to improve data accessibility and performance
Ensure data quality, security, and compliance with healthcare regulations (HIPAA, HITRUST)
Optimize database performance and implement best practices for data governance and metadata management
Work with structured and unstructured data, integrating diverse data sources such as EHR/EMR systems, claims data, and financial records
Implement real-time and batch data processing solutions using various cloud data platforms and tools
Support data integration with BI and analytics tools such as Power BI
Mentor junior engineers and contribute to technical best practices

Requirements:

Required Skills & Experience:

5+ years of experience in data engineering or a related field
Expertise in SQL, Python, or Scala for data processing and transformation
Strong knowledge of Azure Data Services, including Microsoft Fabric, Azure Synapse, Databricks, and Snowflake, Azure Data Factory, Synapse, and Databricks
Experience working with large-scale data architectures in cloud environments
Proficiency in ETL/ELT workflows and data pipeline optimization
Hands-on experience with healthcare data (e.g., claims, EMR/EHR, HL7, FHIR)
Familiarity with data security, compliance, and governance best practices in healthcare
Ability to work in an agile, collaborative, and remote environment

Preferred Skills:

Experience with Microsoft Fabric, Azure Synapse, Databricks, and Snowflake in a production environment
Knowledge of other cloud-based data platforms and integration tools
Hands-on experience with Power BI, DAX, and data modeling
Experience with machine learning pipelines or predictive analytics in healthcare
Previous experience in RCM, insurance, or healthcare analytics

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