IT Strat & Transf Asst Analyst PepsiCo

About PepsiCo

Job Description

As a skilled individual in Azure Data Lake environment and ETL technologies, your primary focus will involve leading development work to ensure timely and budget-friendly delivery of projects. Your responsibilities will encompass playing a crucial role in delivering Enterprise Data Warehouse and Azure Data Lake projects within specified timelines and financial constraints. You will also be responsible for contributing to solution design, aiming for scalability, performance, and efficient reuse of data and other components. Additionally, your role will involve handling L3 responsibilities for ETL processes while complying with enterprise architecture standards. You are expected to possess strong problem-solving skills, with a keen emphasis on achieving business outcomes through collaboration with internal and external stakeholders. Your ability to adapt to change, eagerness to learn and enhance your skills continuously, and commitment to seeking improvement are key traits that will contribute to your success in this role. Effective communication, both written and verbal, along with proficient presentation skills in the English language, will be essential. Being customer-centric and displaying strong teamwork qualities are also crucial aspects of this position. In terms of qualifications, you should hold a Bachelor's degree in Computer Science, MIS, Business Management, or a related field. A minimum of 3 years of experience in Information Technology and at least 1 year of experience specifically in Azure Data Lake is required. Your technical skills should include a proven track record in development activities related to Data, Business Intelligence (BI), or Analytics projects. Knowledge of system development lifecycle, integration, and sustainability practices is expected, along with a strong command of Teradata architecture and SQL. Familiarity with Azure data factory or Databricks is essential, and exposure to Presto, Denodo, Infoworks, as well as data warehousing concepts and data catalog tools like Alation, would be advantageous for this role.,