Sr. Cloud Data Engineer

Overview We are a dynamic and innovative company seeking a highly skilled Senior Cloud Data Engineer to join our team. We pride ourselves on our collaborative culture, where creativity and cutting-edge technology intersect. The ideal candidate will lead the design, implementation, and optimization of our cloud-based data infrastructure, ensuring efficient data processing and storage. Your expertise will be instrumental in driving data strategy and enabling advanced analytics to support business objectives. If you are a seasoned data engineering professional with a passion for cloud technologies and a commitment to delivering high-performance data solutions, we invite you to apply and help us elevate our data capabilities. Salary: $154,568 - $197,128 per year Location: TX, New Braunfels, US, 78132 Employment option: Job type: Full time Responsibilities Lead the design and architecture of scalable, reliable, and secure data solutions in the cloud. Design, develop, and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing various technologies. Provide guidance and mentorship to junior and mid-level data engineers, and lead data engineering projects. Monitor and optimize data systems for performance, scalability, and security. Troubleshoot complex data-related problems and database errors. Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions that meet business objectives. Provide documentation as appropriate including design documentation. Automate data workflows and processes. Analyze complex data sets to derive actionable insights and support data-driven decision-making processes. Keep up-to-date with the latest advancements in cloud and data engineering technologies and best practices. Qualifications Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related field. C1+ English level Proven experience in designing and implementing complex data pipelines and ETL processes. 5+ years of experience in cloud data engineering. Experience in data warehousing, data modeling, and database design. Strong experience with big data technologies such as Hadoop, Spark or Kafka. Extensive experience with cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure. Strong database management skills, including SQL and NoSQL databases. Deep understanding of ETL processes and tools. Advanced knowledge of Amazon Redshift, including cluster management, performance tuning, and optimizing data storage. Strong understanding of data warehousing concepts and architectures, including star and snowflake schemas. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts. Ability to manage multiple tasks and projects simultaneously. Strong attention to detail and accuracy. Excellent problem-solving skills and the ability to work under pressure. Strong communication and collaboration skills. About Company 7-Eleven, Inc. is the premier name in the convenience-retailing industry. Based in Irving, Texas, 7-Eleven operates, franchises and/or licenses more than 13,000 stores in the U.S. and Canada. In addition to 7-Eleven stores, 7-Eleven, Inc. operates and franchises Speedway, Stripes, Laredo Taco Company and Raise the Roost Chicken and Biscuits locations. Known for its iconic brands such as Slurpee, Big Bite and Big Gulp, 7-Eleven has expanded into high-quality sandwiches, salads, side dishes, cut fruit and protein boxes, as well as pizza, chicken wings and mini beef tacos. 7-Eleven offers customers industry-leading private brand products under the 7-Select brand including healthy options, decadent treats and everyday favorites at an outstanding value. Customers can earn and redeem points on various items in stores nationwide through its 7Rewards loyalty program with more than 50 million members, place an order in the 7NOW delivery app in over 2,000 cities, or rely on 7-Eleven for bill payment service, self-service lockers and other convenient services. Find out more online at #J-18808-Ljbffr