Senior Data Engineer

Role & responsibilities

GRUBBRR is seeking a mid/senior-level data engineer to help build our next-generation analytical and big data solutions. We strive to build Cloud-native, consumer-first, UX-friendly kiosks and online applications across a variety of verticals supporting enterprise clients and small businesses.

Behind our consumer applications, we integrate and interact with a deep-stack of payment, loyalty, and POS systems. In addition, we also provide actionable insights to enable our customers to make informed decisions. Our challenge and goal is to provide a frictionless experience for our end-consumers and easy-to-use, smart management capabilities for our customers to maximize their ROIs.

Responsibilities:

• Develop and maintain data pipelines
• Ensure data quality and accuracy
• Design, develop and maintain large, complex sets of data that meet non-functional and functional business requirements
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud technologies
• Build analytical tools to utilize the data pipelines
• Build reports using commercial reporting tools such as Power BI

Skills:

• Solid experience with SQL & NoSQL
• Strong Data modeling for data lake, data warehouse, data marts including dimensional modeling and star schemas
• Proficient with Cloud data integration technologies like Azure Data Factory
• Proficient with Python (Pandas, Airflow)
• Proficient with reporting tools such as Microsoft Power BI
• Knowledge of Hadoop or similar Big Data technology
• Knowledge of Apache Kafka, Spark, Hive or equivalent
• Knowledge of Azure or AWS analytics

Qualifications:

• BS in Computer Science, Applied Mathematics or related fields (MS preferred)
• At least 8 years of experience working with OLAPs
• At least 4 years of experience with Microsoft Azure Data Factory and Power BI.
• Microsoft Azure or AWS Data engineer certification a plus