Big Data Engineer & Data Science Engineer
publiée le 5/5/2026 7:57:40 PM
We’re looking for Big Data Engineer & Data Science Engineer to join our growing data team. Big Data Engineer responsibilities: design and manage Big Data platforms using the Cloudera ecosystem (Hadoop, HDFS, Hive, Impala, YARN); build scalable ETL pipelines using Apache Spark, Kafka, or Flume; orchestrate workflows using Apache Airflow; implement data governance and security using Apache Atlas and Apache Ranger; optimize SQL queries and distributed processing performance; design and maintain data warehouse architectures. Big Data Engineer requirements: strong experience with Hadoop ecosystem & Spark; advanced SQL and data pipeline development; experience with Airflow or similar tools; programming skills in Python, Scala, or Java; understanding of data warehousing concepts. Data Science Engineer responsibilities: build scalable data pipelines for ML and analytics (batch and real-time); develop end-to-end machine learning pipelines (feature engineering to training to deployment); train and optimize models using TensorFlow, PyTorch, and Scikit-learn; deploy and monitor models using MLflow, Kubeflow, or similar MLOps tools; develop fintech use cases such as credit scoring, fraud detection, customer targeting and personalization. Data Science Engineer requirements: strong background in machine learning and large-scale data processing; experience with Spark, Kafka, and distributed systems; solid programming skills in Python, Scala, or Java; experience in feature engineering, model tuning, and evaluation; familiarity with MLOps and production deployment. Hybrid work location: Smart Village, October. To apply, send your updated CV to Salma.ashraf@fawry.com and mention the title in the subject line. Smart Village, October (Hybrid)
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