7-Eleven is looking to solve the problem of designing, architecting, and implementing key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
Requirements
- Strong technical foundation in Python, SQL, and experience with cloud platforms (for example, AWS, Azure,).
- Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
- Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
- Agile experience
- Dataiku
- Power BI
Responsibilities
- Lead the design, architecture, and implementation of key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
- Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement innovative solutions.
- Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions.
- Stay up-to-date with the latest data engineering technologies, trends, and best practices, evaluating and recommending new tools and approaches to immediate teams and the broader organization.
- Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders.
- Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner.
- Lead and mentor a team of 2-5 data engineers, providing guidance on technical best practices, career development, and initiative execution.
Other
- Bachelor’s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
- Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
- Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
- Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
- Role is not eligible for sponsorship.