Senior Data Engineer

Background:

Do you want to be part of the next big thing and have fun doing it? DataKitchen has an excellent opportunity for a Data Engineer or Customer Success professional to be part of an exciting, growing company delivering a cloud-based DataOps Solution! We are leading the DataOps movement, making it possible for enterprise data teams to turn data into true business value. DataKitchen was honored as 2019 Gartner Cool Vendor and a CRN Big Data “Start-Up to Watch” in 2020. Our company is profitable, rapidly growing and stock will be part of the package.

Day to Day:

• Develop and maintain data pipelines utilizing our DataOps software
• Write Amazon Redshift SQL and leverage other AWS products (S3, Lambda, Glacier) and technologies to transform raw data into analytic assets
• Self-manage and lead client projects
• Run with open-ended requirements to mockup features for clients and then iterate and improve them over time
• Communicate directly with customers; maintain transparency through Jira ticketing and Confluence documentation
• Work in an agile working environment: weekly sprints, daily scrums

Desired Tools and Experience

• 5+ years of hands-on data engineering experience
• MS in a quantitative field (Computer Science, preferred)
• Advanced knowledge of cloud database design and warehousing using a cloud native database (AWS Redshift, Snowflake, Google Big Data, etc.)
• Superior SQL Skills
• Solid experience with at least one object-oriented programming language, preferably Python
• Strength communicating technical details, at both a high level and very detailed
• Knowledge of Commercial Pharmaceutical / Life Sciences data sets (NPP, DDD, Xponent, Plantrak, SPP, Symphony, IQVIA)

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The DataKitchen™ DataOps platform automates and coordinates all the people, tools, and environments in your entire data analytics organization – everything from orchestration, testing, and monitoring to development and deployment.