Keurig Dr Pepper - Frisco, TX
posted 16 days ago
About the position
Keurig Dr Pepper is seeking a Senior Principal Data Engineer, Data Analytics who can collect, store, and enable the analysis of data at scale. As a Senior Principal Data Engineer, Data Analytics, you will build & manage the data integrations necessary to support value creation, growth, and delivery of business and IT results. You will design and implement the data and analysis infrastructure, including complex databases, and develop different technical tools/services to enable large scale machine learning solutions. You will work closely with Architects, Data Analysts, and others to determine what data management systems are appropriate and which data is needed for analysis. Additionally, you will collaborate with Data Analysts and Data Scientists to develop scalable and production-ready Advanced Analytics and supporting software. Your role will also involve building and maintaining data management systems that combine core data sources into data warehouses or other accessible structures to support reporting and analytical systems.
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 appropriate data management systems and necessary data for analysis.
- Collaborate with Data Analysts and Data Scientists 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
- 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 programming 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, 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 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).
- Proven ability to lead a team, set strategy, and monitor progress towards goals.
- Strong communication skills to facilitate business requirements gathering.
- Proven ability to build, manage and optimize data pipelines that facilitate data movement.
- Proven ability to reduce manual data work and improve productivity.
- Proven ability to build robust data operations and identify critical issues quickly for debugging and troubleshooting.
- Proven ability to articulate and solve problems or answer questions with data.
- Proven ability to turn data insights into recommendations for clients and internal stakeholders based on context.
- Proven ability to communicate technical information to both technical team members and non-technical coworkers.
Benefits
- Robust benefits for health, wellness, personal and financial well-being.
