Data Engineer

Role Overview

We are seeking a highly skilled and motivated Data Engineer to join our team in a critical, urgent role. This position is key to building and maintaining robust data solutions. The ideal candidate will possess a strong foundation in data warehousing principles and a keen design mindset to handle complex data challenges.

Key Responsibilities

• Design, build, and maintain scalable and efficient ETL/ELT data pipelines to ingest

• data from internal and external sources (e.g., APIs from EPIC, Workday, relational
• databases, flat files). and data warehouse to ensure data is clean, accessible, and ready for analysis and
• model training.

• Collaborate with the Data Analyst and other stakeholders to understand their data

requirements and provide them with clean, well-structured datasets.

• Implement data governance, security, and quality controls to ensure data integrity

and compliance.

• Automate data ingestion, transformation, and validation processes.
• Work with our broader IT team to ensure seamless integration of data infrastructure

with existing systems.

• Contribute to the evaluation and implementation of new data technologies and

tools.

Required Skills & Qualifications

• ETL/ELT Development: Strong experience in designing and building data pipelines

using ETL/ELT tools and frameworks.

• SQL: Advanced proficiency in SQL for data manipulation, transformation, and

optimization.

• Experience with EPIC EMR and Informatica is required.
• Programming: Strong programming skills in Python (or a similar language) for

scripting, automation, and data processing.

• Data Warehousing: Experience with data warehousing concepts and technologies.
• Cloud Computing: Hands-on experience with at least one major cloud platform's

data services (e.g., Microsoft Azure Data Factory, Azure Fabric, IICS).

• Version Control: Proficiency with Git for code management and collaboration.
• Problem-Solving: Proven ability to troubleshoot and resolve data pipeline issues.
• Data Modeling: Experience with various data modeling techniques (e.g.,

dimensional modeling).

• Real-time Processing: Familiarity with real-time data streaming technologies (e.g.,

Kafka, Azure Event Hubs).

• Education: Bachelor's degree in Computer Science, Engineering, or related field.

Main Skill Sets

• Azure: Experience with Microsoft Azure data services.
• Fabric: Familiarity or experience with Microsoft Fabric.
• Informatica Cloud or PowerCenter: Hands-on experience with either Informatica Cloud or PowerCenter.
• Epic Experience: Highly preferred, but not a mandatory requirement.
• Work Arrangement: The position allows for remote work but local candidates are strongly preferred.