Data Engineer

About the Role

Key Responsibilities

• Lead the design, architecture, and implementation of as-hoc data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
• Enhance existing data workflows and systems to improve performance, cost-efficiency, and 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.
• 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.

Requirements

• 4+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools.
• Cloud data engineering experience on Azure, with a deep understanding of Azure services like data factory, databricks, and machine learning. Azure certification is a plus.
• Strong proficiency in SQL, Python, and Pyspark, with proven ability to optimize SQL queries and performance tune data pipelines.
• Experience in building and operating highly available, distributed data pipelines for large-scale data ingestion, processing, and extraction.
• Experience integrating multi-cloud services with on-premises technologies and a strong understanding of data modeling processes.
• Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.

Nice to Have

• Agile experience
• Dataiku
• Power BI

Qualifications

• Experience with data lake infrastructure, data warehousing, and data analytics tools.
• Azure services like data factory, databricks, and machine learning.
• Proficiency in SQL, Python, and Pyspark.

Benefits & Perks

• For a general description of all benefits 7-Eleven is offering in the US for the position, please visit this link.