Overview
Skills
Job Details
Position: ETL Developer
Duration: 12+ Months
Location: Remote
AWS pipelines DevOps
Automating data pipelines
Front-end UI nice to have
Query data if needed
Extract data from APIs
Node.JS
Job Summary:
We are seeking a talented and detail-oriented ETL (Extract, Transform, Load) Engineer to join our team. In this role, you will play a key part in designing, developing, and maintaining data integration workflows that support critical business operations and decision-making processes. By collaborating with cross-functional teams, you will ensure that data is accurate, reliable, and optimized for use across our organization. Join us in leveraging data to drive innovation and achieve our mission to bring analytics on demand to Senior Living and Health Care industries.
Key Responsibilities:
Design, develop, and maintain robust ETL processes to extract, transform, and load data from various sources into target systems.
Build and manage scalable, reliable, and efficient data pipelines, ensuring high levels of data quality and integrity.
Collaborate with clients, analysts, and business stakeholders to understand data requirements and develop solutions.
Monitor and troubleshoot data integration workflows to identify and resolve issues promptly.
Develop and consume APIs to support data integration and automation tasks.
Optimize ETL processes for performance, scalability, and cost-efficiency.
Ensure compliance with data governance and security standards.
Required Qualifications:
Proficiency in server side scripting languages such as NodeJS, JavaScript, or TypeScript.
Extensive experience in building and consuming APIs (Application Programming Interfaces).
Strong SQL skills and a solid understanding of data modeling principles.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Strong analytical and problem-solving skills.
Preferred Qualifications:
Familiarity with Business Intelligence (BI) tools such as Power BI or Tableau.
Full stack development (React / Vue / Angular)
Bachelor s degree in computer science, Data Engineering, or a related field.
Certifications in cloud platforms or data-related technologies.
Experience working with data governance frameworks and compliance