Sr Principal Data Engineer, Data Analytics

Full-time - Senior

Frisco, TX

10,001+ employees

Beverage and Tobacco Product Manufacturing

About the position

Keurig Dr Pepper (NASDAQ: KDP) is a modern, leading coffee and beverage company with a bold vision built to deliver growth and opportunity. We operate with a differentiated business model and world-class brand portfolio, powered by a talented and engaged team that is anchored in our values. We seek diversity in our workforce and empower our team of ~28,000 employees to develop and grow. We care for our employees' health, wellness, personal and financial well-being by offering robust benefits. We work with big, exciting beverage brands and the #1 single-serve coffee brewing system in North America at KDP, and we have fun doing it! Come be a part of a company where you can feel valued, inspired, and appreciated at work.

Responsibilities

• Build & manage the data integrations necessary to support value creation, growth, and delivery of business and IT results.
• Design and implement the data and analysis infrastructure, including complex databases.
• Develop different technical tools/services to enable large scale machine learning solutions.
• Work closely with Architects, Data Analysts, and others to determine what data management systems are appropriate and which data is needed for analysis.
• Work closely with Data Analysts and Data Scientists, and others to develop scalable and production ready Advanced Analytics and supporting software.
• Build and maintain data management systems that combine core data sources into data warehouses or other accessible structures to support reporting and analytical systems.

Requirements

• Bachelor's or Master's degree in related field (e.g., Computer Science, Data Science, Software Engineering, Information Systems, etc.) or equivalent combination of education and work experience.
• Typically, 5+ years of experience in data management disciplines, including data integration, modeling, optimization, and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
• 5+ years of gathering and analyzing data, creating visualizations.
• Native-level proficiency/fluent in English.
• Experience in DevOps and Agile technology environments. (preferred)

Nice-to-haves

• Deep knowledge of system development life cycle (SDLC) methodologies (e.g., waterfall, spiral, SAFe, agile, rapid prototyping, incremental, synchronize and stabilize and DevOps).
• Deep knowledge in languages such as (R, Python, Scala etc.).
• Experience with commercial data science platforms (e.g., Python, R, KNIME, Alteryx, etc.).
• Familiarity with modern data storage and access technologies, including caching, application of NoSQL, Key/Value, and RDBMS datastores.
• Proficiency in SQL, PL/SQL, SnowSQL and Oracle.
• Experience with Extract-Transform-Load (ETL) processing and Change Data Capture (CDC) technologies.
• Knowledge of business intelligence tools (such as Tableau, Qlik, PowerBI).
• Understanding of Data Management architectures like Data Warehouse, Data Lake, Data Hub and the supporting processes like Data Integration, Governance, Metadata Management.
• Familiarity with Directory Services (E.g., Windows 2000+ AD, LDAP) and Internet Protocols (E.g., DNS, HTTP, SMTP, SSL).

Benefits

• Medical, Dental, Vision, Disability.
• Paid Time Off (including paid parental leave, vacation, and sick time).
• 401k with company match.
• Tuition Reimbursement.
• Mileage Reimbursement.
• Annual bonus based on performance and eligibility.