Data Engineer
Cairo Data & Analytics / Full-time / Hybrid + Data Integration and ETL Development.
+ Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, MongoDB, and flat files) into a centralized data platform.
+ Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability.
+ Optimize data transformation workflows to improve performance and scalability.
+ Data Infrastructure and Platform Management.
+ Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements.
+ Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning.
+ 1-3 years of experience as a Data Engineer or a related role in a data-driven organization (preferred startups).
+ Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services.
+ Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic, Google Bigquery, Mongodb).
+ Proficient in programming languages such as Python, or Java, and experience with SQL.
+ Familiarity with cloud computing platforms such as AWS and its services (Lambda, EC2, and S3).
+ Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams.
+ Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.
+
