Azure Data Engineer

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 believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Purpose. For more information on PepsiCo and the opportunities it holds, visit www.pepsico.com. Azure Data Engineer Primary focus would be to do development work within the platform on Azure Data Lake environment and other related ETL technologies. Satisfying project requirements, while adhering to enterprise architecture standards. Responsibilities Deliver Enterprise Data Warehouse and Azure Data Lake projects within time and budget Contribute to solution design and build to ensure scalability, performance and reuse of data and other components Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards. Possess strong problem-solving abilities with a focus on managing to business outcomes through collaboration with multiple internal and external parties Enthusiastic, willing, able to learn and continuously develop skills and techniques – enjoys change and seeks continuous improvement A clear communicator both written and verbal with good presentational skills, fluent and proficient in the English language Customer focused and a team player Qualifications Bachelor’s degree in computer science, MIS, Business Management, or related field 5+ years’ experience in Data Warehouse/Azure Data Lake Technical Skills: Proven experience development activities in Data, BI or Analytics projects Solutions Delivery experience - knowledge of system development lifecycle, integration, and sustainability Good knowledge in Azure DevOps(ADO) Good knowledge of Azure data factory and Databricks Strong Knowledge of Pyspark/ Presto / Databricks SQL is desirable Knowledge of data warehousing concepts and data catalog tools (Alation) Strong knowledge of Teradata architecture and SQL Knowledge of FMCG business processes is desirable Non-Technical Skills: Excellent remote collaboration skills Experience working in a matrix organization with diverse priorities Exceptional written and verbal communication skills along with collaboration and listening skills Ability to work with agile delivery methodologies Ability to ideate requirements & design iteratively with business partners without formal requirements documentation


Deliver Enterprise Data Warehouse and Azure Data Lake projects within time and budget Contribute to solution design and build to ensure scalability, performance and reuse of data and other components Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards. Possess strong problem-solving abilities with a focus on managing to business outcomes through collaboration with multiple internal and external parties Enthusiastic, willing, able to learn and continuously develop skills and techniques – enjoys change and seeks continuous improvement A clear communicator both written and verbal with good presentational skills, fluent and proficient in the English language Customer focused and a team player


Bachelor’s degree in computer science, MIS, Business Management, or related field 5+ years’ experience in Data Warehouse/Azure Data Lake Technical Skills: Proven experience development activities in Data, BI or Analytics projects Solutions Delivery experience - knowledge of system development lifecycle, integration, and sustainability Good knowledge in Azure DevOps(ADO) Good knowledge of Azure data factory and Databricks Strong Knowledge of Pyspark/ Presto / Databricks SQL is desirable Knowledge of data warehousing concepts and data catalog tools (Alation) Strong knowledge of Teradata architecture and SQL Knowledge of FMCG business processes is desirable Non-Technical Skills: Excellent remote collaboration skills Experience working in a matrix organization with diverse priorities Exceptional written and verbal communication skills along with collaboration and listening skills Ability to work with agile delivery methodologies Ability to ideate requirements & design iteratively with business partners without formal requirements documentation