
Data Engineer
2 days ago
About Rintel
Rintel is building the future of retail intelligence, helping CPG brands and retailers unlock real-time insights to drive better decisions. Working with top CPGs and retail partners, we're on a mission to revolutionize how retail data is utilized in the MENA region.
What You'll Do
- Design, build, and maintain scalable data pipelines for real-time and batch processing.
- Develop and optimize ETL workflows to ensure efficient data ingestion and transformation.
- Work with cloud-based data warehouses (e.g., Snowflake, BigQuery) to manage large datasets.
- Collaborate with data analysts, product, and engineering teams to enhance data infrastructure and models.
- Ensure data accuracy, reliability, and performance by implementing best practices in data engineering.
- Automate data workflows and reporting processes for efficiency and scalability.
What We're Looking For
- 2+ years of experience in data engineering, preferably in retail, FMCG, or SaaS.
- Proficiency in SQL, Python, and data pipeline frameworks (e.g., Apache Airflow, DBT).
- Experience with cloud platforms like AWS, GCP, or Azure.
- Strong understanding of data modeling, warehousing, and ETL processes.
- Knowledge of big data technologies (e.g., Spark, Kafka) is a plus.
- A problem-solver who thrives on optimizing data systems for performance and scalability.
Why Join Us?
- Be an early team member shaping a high-growth startup.
- Work on cutting-edge AI & retail intelligence solutions.
- Collaborate with industry leaders and fast-track your career.
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