Data Engineer

About this role

1. About Our Client:

This organization operates in the healthcare industry, focusing on improving health experiences by making healthcare more connected, convenient, and compassionate. It addresses challenges related to simplifying healthcare for individuals, families, and communities through dedicated efforts and innovation.

2. About the Opportunity:

The Data Engineer role involves designing, building, and managing large-scale data structures and ETL workflows that support business applications. This position plays a key role in organizing and standardizing data to generate insights and facilitate reporting, collaborating closely with data science teams to integrate models and automate processes, thereby enhancing data accessibility and quality.

3. Responsibilities:

• Develop large-scale data structures and pipelines to organize and standardize data

• Write ETL processes and design database systems

• Develop tools for real-time and offline analytic processing

• Collaborate with Data Science team to integrate algorithms and models into automated workflows

• Utilize knowledge of Hadoop architecture and optimize queries to build data pipelines

• Apply programming skills in Python, Java, or similar languages to build robust systems

• Build data marts and models to support internal customers

• Integrate data from multiple sources ensuring data quality and accessibility

• Analyze IT environments to assess capabilities and recommend solutions

• Experiment with and advise on tools to meet model and use case requirements

4. Requirements:

• Master’s degree or foreign equivalent in Computer Science, Data Science, Statistics, Mathematics, Analytics, or related field

• Completion of university-level course, research project, internship, thesis, or six months experience in:

• Data collection, storage, tidying, transformation, processing, management, modeling

• Supervised and unsupervised machine learning, data mining

• Programming in Python, R, or MATLAB

• A...