Auto req ID: 272809BR
Locations: Vitoria-Gasteiz, Spain; Barcelona, Spain
PepsiCo is using the power of data to transform the way our world famous portfolio of brands are sold every day.
Our Data Science & Analytics group influences every aspect of how we sell and move our products.
In just a short period of time, they've built new capabilities that have defined the data science roadmap across all of our brands.
Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world.
Join PepsiCo's Data Management and Operations team which develops quality data collection processes, maintains the integrity of our data foundations and enables business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.
Role SummaryAs a Senior Data Engineer, you will be the key technical expert 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 empowered to create & lead a strong 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.
What will you be doing more specificallyActive 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 capture 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.Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.Develop and optimize procedures to "productionalize" data science models.Define and manage SLAs for data products and processes running in production.Prototype new approaches and build solutions at scale.Create and audit reusable packages or libraries.Qualifications/RequirementsMinimum Qualifications:
4+ years of experience with software development, data engineering, or systems architecture.4+ years of experience with Data Lake Infrastructure, Data Warehousing, and ETL/ELT pipelines.4+ 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 in at least one cloud (Azure, AWS, GCP).Experience in data profiling and data quality using tools like Apache Griffin, Deequ, Informatica and Great Expectations.Extensive experience with object-oriented design and coding and testing patterns, including experience with engineering Azure Data platforms and data infrastructures.Production projects experience in Data Analytics, Data Visualization, Data Security, Data Modelling.Experience in building complex data sets from multiple data sources, both internally and externally.Preferred Qualifications:
Experience in Cloud platform - Azure eco-system.Strong Experience in Python, SQL and Experience with big data tools: Spark, Kafka and Hadoop.Operate with CI/CD and Agile standard framework with DevOps team.Additional Qualifications:
Ability to communicate complex ideas effectively and great negotiation skills.Excellent communication skills, both verbal and written, along with the strong ability to influence senior level management and stakeholders.Strong change manager: comfortable with change, especially that which arises through company growth.Ability to understand and translate business requirements into data and technical requirements.High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.What makes us different?Hybrid work model: combination of remote and collaborative office experience to enable innovation.Entrepreneurial environment in leading international company.Professional growth possibilities & learning opportunities.Diverse team from over 25 countries.Variety of benefits to support your physical, emotional and financial wellbeing.Free Friday afternoon & during the month of August.Relocation package & sponsorship to work in Spain if applicable.
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