Associate Manager Data Engineering

Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We are seeking a highly skilled and experienced Azure Data Engineer to join our dynamic team. In this critical role, you will be responsible for designing, developing, and maintaining robust and scalable data solutions on the Microsoft Azure platform. You will work closely with data scientists, analysts, and business stakeholders to translate business requirements into effective data pipelines and data models. Responsibilities * Design, develop, and implement data pipelines and ETL/ELT processes using Azure Data Factory, Azure Databricks, and other relevant Azure services. * Develop and maintain data lakes and data warehouses on Azure, including Azure Data Lake Storage Gen2 and Azure Synapse Analytics. * Build and optimize data models for data warehousing, data marts, and data lakes. * Develop and implement data quality checks and data governance processes. * Troubleshoot and resolve data-related issues. * Collaborate with data scientists and analysts to support data exploration and analysis. * Stay current with the latest advancements in cloud computing and data engineering technologies. * Mentor junior data engineers and contribute to the development of best practices. * Participate in all phases of the software development lifecycle, from requirements gathering to deployment and maintenance. Qualifications * 10+ years of experience in data engineering, with at least 5 years of experience working with Azure data services. * Strong proficiency in Python, and other relevant programming languages. * Experience with data warehousing and data lake architectures. * Experience with ETL/ELT tools and technologies, such as Azure Data Factory, Azure Databricks, and Apache Spark. * Experience with data modeling and data warehousing concepts. * Experience with data quality and data governance best practices. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Experience with Agile development methodologies. * Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred). * Relevant Azure certifications (e.g., Azure Data Engineer Associate) are a plus. Bonus Points: * Experience with machine learning and artificial intelligence. * Experience with containerization technologies (e.g., Docker, Kubernetes). * Experience with DevOps practices and tools. At PepsiCo, you can Dare for Better—helping build a world of greater possibilities, no matter what role you hold. PepsiCo is more than just a food and beverage company. We deliver smiles to foster a better workplace, drive sustainability, and to make a more positive world. We challenge each other to be different, curious, and remarkable. We collaborate, listen, and innovate to move faster and be stronger in the marketplace. And we get to shape our work to fit our lives. Together, we’ll make a positive impact for good. Because when we Dare for Better, we can smile at what’s next. For our careers, families, communities, and the planet.


* Design, develop, and implement data pipelines and ETL/ELT processes using Azure Data Factory, Azure Databricks, and other relevant Azure services. * Develop and maintain data lakes and data warehouses on Azure, including Azure Data Lake Storage Gen2 and Azure Synapse Analytics. * Build and optimize data models for data warehousing, data marts, and data lakes. * Develop and implement data quality checks and data governance processes. * Troubleshoot and resolve data-related issues. * Collaborate with data scientists and analysts to support data exploration and analysis. * Stay current with the latest advancements in cloud computing and data engineering technologies. * Mentor junior data engineers and contribute to the development of best practices. * Participate in all phases of the software development lifecycle, from requirements gathering to deployment and maintenance.


* 10+ years of experience in data engineering, with at least 5 years of experience working with Azure data services. * Strong proficiency in Python, and other relevant programming languages. * Experience with data warehousing and data lake architectures. * Experience with ETL/ELT tools and technologies, such as Azure Data Factory, Azure Databricks, and Apache Spark. * Experience with data modeling and data warehousing concepts. * Experience with data quality and data governance best practices. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Experience with Agile development methodologies. * Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred). * Relevant Azure certifications (e.g., Azure Data Engineer Associate) are a plus. Bonus Points: * Experience with machine learning and artificial intelligence. * Experience with containerization technologies (e.g., Docker, Kubernetes). * Experience with DevOps practices and tools. At PepsiCo, you can Dare for Better—helping build a world of greater possibilities, no matter what role you hold. PepsiCo is more than just a food and beverage company. We deliver smiles to foster a better workplace, drive sustainability, and to make a more positive world. We challenge each other to be different, curious, and remarkable. We collaborate, listen, and innovate to move faster and be stronger in the marketplace. And we get to shape our work to fit our lives. Together, we’ll make a positive impact for good. Because when we Dare for Better, we can smile at what’s next. For our careers, families, communities, and the planet.