Senior Data Engineer

Key Skills

Azure, Data Analytics, Data Engineering, Data Lake, Data Warehousing, PySpark, Python Programming, Scala Programming, SQL

Job Description

Your mission:

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo's data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Responsibilities

Your day to day with us:

• Active contributor to code development in projects and services.
• Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
• Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
• Responsible for implementing best practices around systems integration, security, performance and data management.
• Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
• Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
• Develop and optimize procedures to “productionalize” data science models.
• Define and manage SLA’s for data products and processes running in production.
• Support large-scale experimentation done by data scientists.
• Prototype new approaches and build solutions at scale.
• Research in-state-of the art methodologies.
• Create documentation for learning and knoweldge transfer.
• Create and audit reusable packages of libraries.

Qualifications

What will you need to succeed?

• 4+ years of overall technology experience that includes at least 3+ years of hands-on software development, data engineering, and systems architecture.
• 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
• 3+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).
• 2+ years in cloud data engineering experience
• Fluent with Azure cloud services. Azure Certification is a plus.

What makes us different?

• Hybrid working model: combination of remote and collaborative office experience to enable innovation
• Flexible work schedule
• Variety of benefits to support your physical, emotional and financial wellbeing
• Professional growth possibilities & learning opportunities
• Volunteering opportunities to help external communities
• Space to be you to promote our Diversity & Inclusion strategy

Being you at PepsiCo:

PepsiCo is an equal opportunity employer, committed to helping people lead healthier lives and supports workforce diversity. We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.

Planet + People:

PepsiCo Positive (pep+) is how we’ll transform the way we create value by operating within planetary boundaries and inspiring positive change for the planet and people in the global food system.

#LI-Hybrid