Data Engineer- AWS/azure- Healthcare domain- Gen AI

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Job Overview

Genzeon is seeking a skilled Data Engineer specializing in AWS/Azure within the healthcare domain, with a strong focus on Generative AI technologies. The successful candidate will be responsible for designing, developing, and maintaining data pipelines that enable efficient data flow and accessibility across various healthcare applications. This role involves collaborating with data scientists and analysts to support the implementation of advanced analytics and machine learning models, ensuring data integrity, security, and compliance with healthcare regulations.

Job Responsibilities

• Design and implement data architecture solutions for AWS/Azure within the healthcare domain.
• Develop ETL processes to extract, transform, and load data from multiple sources into data lakes and warehouses.
• Collaborate with data scientists to facilitate the integration of Generative AI models and algorithms.
• Ensure data quality, integrity, and security in compliance with healthcare regulations such as HIPAA.
• Monitor and optimize data pipelines for performance, scalability, and reliability.
• Develop and maintain documentation for data architecture, processes, and procedures.
• Engage in cross-functional teams to understand data requirements and provide support during project cycles.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field; Master's degree preferred.
• Proven experience of 3-5 years in data engineering or a related role within the healthcare industry.
• Extensive knowledge of AWS (e.g., S3, Redshift, Lambda) and Azure services (e.g., Azure Data Factory, Azure SQL Database).
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Proficiency in programming languages such as Python, SQL, or Java.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Solid understanding of data privacy regulations and best practices in healthcare.

Technologies & Tools

The Data Engineer role at Genzeon will involve working with a variety of technologies and tools including AWS services like S3, Redshift, and Lambda, as well as Microsoft Azure components such as Azure Data Factory and Azure SQL Database. Familiarity with programming languages like Python and SQL, along with data visualization tools such as Tableau and Power BI, will be crucial for success in this position. Additionally, knowledge of data integration tools and frameworks will enhance the efficiency of data processing and analytics.

Ideal Candidates

The ideal candidate for this position will possess strong analytical and problem-solving skills, with a keen attention to detail. They will demonstrate excellent communication and collaboration abilities, thriving in a fast-paced, team-oriented environment. A proactive attitude towards learning and adapting to new technologies, particularly in the evolving field of Generative AI, is essential. Furthermore, candidates should exhibit a strong commitment to maintaining data privacy and compliance with industry regulations, reflecting the values of Genzeon in delivering high-quality healthcare solutions.