Senior Data Engineer

Who We Are
ghSMART is a leadership advisory firm dedicated to creating value for CEOs, boards, and investors. We partner with our clients to solve their most critical business decisions, becoming their trusted advisor on their most important people and talent priorities. As the first call for some of the world's most influential executives, we offer a data driven perspective on their leadership and talent strategy. Our team is made up of over 175 extraordinary individuals who become trusted advisors to these leaders, helping amplify their positive impact on the world. We advise on the art and science of building winning leadership teams, doing meaningful work every day. We hire the very best talent, and our team has the freedom to work where they choose.
What You’ll Do
As an experienced Senior Data Engineer (who'd like to broaden into Data Science) - you will collaborate with our clients, partners and consultants on research initiatives, playing a pivotal role in querying and deriving insights from our rich dataset. You will be key to establishing efficient data processes and maintaining a modern, scalable research database for ghSMART. 

Responsibilities

• In the immediate term – help with digitization of existing assets by parsing semi-structured data & transforming it
• Work closely with an existing team of engineers and developers to deliver against deadlines
• Collaborate & maintain strong relationships with leadership to understand needs, scope projects, and deliver relevant data insights.
• Participate in data privacy training and rigorously adhere to data privacy and security guidelines to ensure the highest standards of care in handling sensitive data.
• In the long term - act as the custodian and steward of the ghSMART Research Database. Support ghSMART’s research publications by providing data-driven insights and analysis. Assist in training AI models on sanitized ghSMART data to enable advanced analysis and insights.

You Bring

• Education: Bachelor’s degree in computer science, data science, mathematics, or a related field.
• Experience: 5+ years of relevant experience in data engineering or related roles.

Technical Skills (required):
• Programming: Proficiency in Python, specifically the pandas library 
• Data Tools: Proficiency in SQL, Azure Databricks, ETLs & Excel 
• Source control & experience working with or writing CI/CD pipelines in GitHub Actions or equivalent (i.e GitLab CI) 

Technical Skills (preferred):
• Infrastructure as Code (IAC) - Experience with Pulumi or equivalent (e.g. Terraform) 
• Data Security: Experience processing, securing, and managing PII in cloud environments, adhering to …