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

• 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.

• 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 No
  
  SQL 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.

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 7

Rewards loyalty program with more than 50 million members, place an order in the 7

NOW 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