Data Engineers with ML OPS, AWS, EMR, and Sagemaker

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Written by AI from the job title and company, not by Executive Staff Recruiters / ESR Healthcare, so some details may not match this job. The employer's own page has the real description.

Job Overview

The Data Engineer with Machine Learning Operations (MLOps), AWS, EMR, and Sagemaker at Executive Staff Recruiters / ESR Healthcare will be responsible for designing and implementing scalable data pipelines, managing data infrastructure, and facilitating the deployment of machine learning models. The successful candidate will collaborate with cross-functional teams to optimize data consumption and processing, ensuring high-quality data engineering solutions that meet the needs of the organization and contribute to advanced analytics and decision-making processes in a healthcare context.

Job Responsibilities

• Design, develop, and maintain robust data pipelines to facilitate the ingestion, processing, and storage of large datasets in cloud environments.
• Implement machine learning models using AWS Sagemaker and ensure their integration into existing workflows.
• Monitor and optimize AWS EMR clusters to enhance performance and cost efficiency.
• Work closely with data scientists and analysts to understand data needs and deliver appropriate solutions.
• Establish best practices for data quality assurance, governance, and documentation across data engineering processes.
• Collaborate with IT and security teams to ensure compliance with data handling and security protocols.
• Investigate and resolve data ingestion and processing issues in a timely manner.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field; Master's degree preferred.
• 5+ years of experience in data engineering or a related field with expertise in MLOps.
• Proficient in AWS services, particularly EMR and Sagemaker.
• Strong programming skills in languages such as Python, Java, or Scala.
• Experience with data modeling, ETL processes, and data warehousing solutions.
• Familiarity with machine learning frameworks and libraries.
• Solid understanding of SQL and NoSQL databases.

Technologies & Tools

The position will involve utilizing a variety of technologies and tools including but not limited to AWS cloud services, AWS EMR for big data processing, AWS Sagemaker for model deployment, along with programming languages such as Python and Java. Additionally, relevant data processing frameworks, version control systems, and data visualization tools may be used to streamline project execution and reporting.

Ideal Candidates

An ideal candidate for the Data Engineer role at Executive Staff Recruiters / ESR Healthcare will possess strong analytical skills and a passion for healthcare data. They should be proactive and able to work collaboratively within a team environment, showcasing excellent problem-solving abilities and a detail-oriented mindset. Effective communication skills are essential, as the role involves engaging with diverse teams and conveying complex technical concepts to stakeholders with varying levels of technical expertise.