COMPANY DESCRIPTION

PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.

OUR VALUES:

To put Human Experience at the heart of organizations so every person can be seen and understood.

• Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
• Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
• Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
• Dare to innovate: We challenge the status quo with creativity and innovation as our true north.
• Better together: We check our egos at the door. We work together, so we win together.

Overview:
We are seeking an experienced Data Engineer to join our team. The ideal candidate will be responsible for designing, building, and maintaining our data architecture, infrastructure, and systems. The Data Engineer will work with data analysts, data scientists, and other stakeholders to ensure that data is efficiently collected, processed, and stored in a reliable and scalable way.

Duties & Responsibilities:

• Develop, implement and maintain scalable data pipelines and workflows that process large volumes of data efficiently and accurately.
• Collaborate with data analysts and scientists to design and implement data models that support business intelligence and analytics needs.
• Design, build and maintain data warehouses, data lakes, and other data storage and retrieval systems.
• Ensure data quality, reliability, and security by implementing appropriate data governance practices and monitoring systems.
• Develop and maintain automated testing, monitoring, and validation processes to ensure data accuracy and integrity. Continuously evaluate and recommend new data technologies and tools that can enhance our data infrastructure and architecture.
• Work with cross-functional teams to understand their data needs and provide solutions that meet their requirements.

• Assist with service management including monitoring and escalating incidents.Take ownership of small projects or technical tasks within larger initiatives, independently managing timeline and deliverables.

Technical Skills:

• Hands-on experience with Azure Databricks and Unity Catalog.
• Experience with data automation tooling (e.g. Databricks Workflows, Airflow, MLFlow, etc.)
• Fluency in Python, SQL, PySpark. Experience in Apache Spark. Comfortable on the Linux command line. Additional data or system languages (e.g. Java, Scala, Go, R) a plus.
• Direct experience with at least one relational and one non-relational database technology.

• Experience in ETL/ELT processes, data modeling and schema design.Familiarity with data visualization tools such as Power BI.

Minimum Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field
• Minimum of 2 years of experience in data engineering or a related field

• Excellent communication and collaboration skills.Strong analytical and problem-solving abilities.

• Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

• Develop, implement and maintain scalable data pipelines and workflows that process large volumes of data efficiently and accurately.
• Collaborate with data analysts and scientists to design and implement data models that support business intelligence and analytics needs.
• Design, build and maintain data warehouses, data lakes, and other data storage and retrieval systems.
• Ensure data quality, reliability, and security by implementing appropriate data governance practices and monitoring systems.
• Develop and maintain automated testing, monitoring, and validation processes to ensure data accuracy and integrity. Continuously evaluate and recommend new data technologies and tools that can enhance our data infrastructure and architecture.
• Work with cross-functional teams to understand their data needs and provide solutions that meet their requirements.
• Assist with service management including monitoring and escalating incidents.Take ownership of small projects or technical tasks within larger initiatives, independently managing timeline and deliverables