Start Date
Immediate
Expiry Date
22 Jun, 25
Salary
172000.0
Posted On
23 Mar, 25
Experience
3 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Computer Science, Tuning, Information Systems, Creativity, Postgresql, Learning, Writing, Technology, Color, Sql Server, Data Modeling, Relational Databases, Analytical Solutions
Industry
Information Technology/IT
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.
QUALIFICATIONS/REQUIREMENTS:
Minimum Requirements: Master’s degree in Computer Science, Information Systems, Technology or related field and 3 years of data engineering experience in an enterprise environment including 3 years’ experience with: writing, tuning, troubleshooting complex SQL queries, Python code, and C#; Azure Databricks and Delta Lake using Data Factory, Azure SQL databases, and on-premises Microsoft tools (SQL Server DB and SSIS); and analytical solutions and data modeling in relational databases such as MS SQL Server, PostgreSQL and Azure SQL DB. Employer will also accept a bachelor’s degree in Computer Science, Information Systems, Technology or related field and 5 years of data engineering experience in an enterprise environment in lieu of a master’s degree and 3 years of experience.
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.