Job Description
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
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)
- 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 5 years of experience working with OLAPs
- Microsoft Azure or AWS Data engineer certification a plus
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