Grubtech is a unified commerce engine that empowers F&B and quick commerce enterprises through a robust integration platform and essential tools for managing omnichannel operations at scale. We proudly partner with leading F&B and Grocery brands in 18 diverse markets. Headquartered in the UAE, with offices in Egypt, Sri Lanka, and Turkey, we are rapidly expanding into multiple markets as part of our future growth strategy.
The Team
We're a dynamic team of engineers, data scientists and industry leaders. We bring a fresh perspective - but at the same time, we're drawing on 100+ years of combined expertise spanning everything from data science and food technology to logistics and eCommerce platform development. We would love for you to be a part of the team the is transforming an entire industry.
The ideal candidate will have a strong background in data engineering, with a focus on building and maintaining scalable data pipelines, optimizing data workflows, and implementing robust data solutions. This role offers the opportunity to work on exciting projects that drive innovation and impact within the food delivery industry.
Job Role:
- Design, develop, and implement data pipelines using tools and technologies like Apache Spark, Airflow, or Luigi.
- Collaborate with cross-functional teams to understand data needs and requirements and translate them into technical solutions.
- Build and optimize data models, schemas, and structures to ensure data integrity, reliability, and performance.
- Implement data integration processes to ingest, transform, and load data from multiple sources into centralized data repositories.
- Develop and maintain ETL (Extract, Transform, Load) processes for data cleansing, normalization, and enrichment.
- Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
- Perform data profiling, analysis, and validation to ensure accuracy and consistency of data.
- Work closely with data analysts and data scientists to provide them with access to high-quality and reliable data for analysis and modeling.
- Stay up to date with emerging technologies and best practices in data engineering and propose innovative solutions to enhance data infrastructure and capabilities.
- Document technical specifications, data architecture, and process workflows.
Profile:
- Bachelor's degree in computer science, Engineering, or a related field.
- 7+ years of experience in data engineering, with a proven track record of designing and implementing data solutions.
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL).
- Experience with big data technologies and platforms such as Databricks, Spark, Kafka Hadoop etc.
- Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and related services (e.g., S3, Redshift, BigQuery)
- Familiarity with data warehousing concepts and techniques. (e.g., dimensional modeling)
- Experience with version control systems (e.g., Git) and agile development methodologies
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.
