Job Summary: Develop, maintain, and optimize data pipelines and data structures to ensure information availability, quality, and reliability for analytics and reporting. Key Highlights: 1. ETL process development and maintenance 2. Construction of data tables and analytical data models 3. Collaboration with data analysts and data scientists **Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do?** **Job Objective:** ***Develop, maintain, and optimize data pipelines*** and data structures that ensure information availability, quality, and reliability for analytics and reporting. **Key Responsibilities:** * ***Develop and maintain*** ETL processes. * Integrate internal and external data sources. * Construct data tables and analytical data models. * Monitor and maintain data quality. * Document data flows and processes. * Optimize queries and transformations. * Collaborate with data analysts and data scientists. **Requirements:** * Bachelor's degree or engineering degree in Computer Science, Information Systems, or related fields. * Proficiency in programming languages such as Python, Java, or Scala. * Experience with big data technologies (e.g., Apache Spark, Hadoop). * Knowledge of relational and NoSQL databases. * Strong understanding of data modeling and schema design. * Familiarity with cloud platforms (e.g., AWS, Azure, GCP). * 2–4 years of experience in data engineering.