Data Engineer (Python, R)

Short Description

Gartner is looking for a Data Engineer (Python, R) who has experience with SQL and NoSQL databases, Postgres and Snowflake.

Job Description

What You Will do:
  • Build analytics tools utilizing scripting languages to implement machine learning techniques that provide actionable insights, increase operational efficiency/scalability and reduce redundancy.
  • Use descriptive and inferential statistics to inform a wide array of insights within the organization.
  • Design and develop data platforms including the prototyping, and development of data extract, transformation, cleansing and integration of structured and unstructured data using a wide variety of data sources based on SQL and AWS ‚??big data‚?? technologies.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

What You Will Need:
  • 3+ years of experience with a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • Strong hands-on experience with Python/R with a proven ability to execute advanced statistical methodologies required
  • Experience implementing machine learning algorithms, building and optimizing data models using structured and unstructured data
  • Experience with SQL and NoSQL databases, Postgres and Snowflake preferred
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift is preferred

Who you are:
  • A good combination of technical and interpersonal skills with strong communication skills.
  • Highly motivated, ambitious, able to work independently, in a fast-paced environment.
  • Having high attention to detail and focus on work quality and ownership.

Data Engineer (Python, R)
Mid-Senior-level Technology Full-time Engineering | Information Technology | Other Data Engineer | Python
Gartner, Inc. is a global research and advisory firm providing insights, advice, and tools for leaders in IT, Finance, HR, Customer Service and Support, Legal and Compliance, Marketing, Sales, and Supply Chain functions across the world.