Data Engineer
On-site Cairo, Maadi, Egypt Data Full time
Description
As a Data Engineer at Nawy, you will hold a pivotal role in designing, implementing, and maintaining data pipelines and infrastructure to support the organization's data needs. Additionally, you will play a key role in data management, ensuring data quality, integrity, and modeling. We are seeking an individual with a strong technical background, hands-on experience with data processing technologies, and a passion for building robust and efficient data solutions.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design appropriate solutions Work closely with IT and infrastructure teams to deploy and maintain data storage and processing systems, including databases, data warehouses, and cloud infrastructure Design, build, and maintain robust, scalable data pipelines to ingest, process, and transform data from various sources, including internal databases and external APIs. Optimize data pipelines for performance, scalability, and reliability, ensuring timely and accurate delivery of data Implement data validation and quality checks to identify and rectify any issues in data pipelines, ensuring data integrity. Explore and evaluate new technologies, tools, and frameworks to improve data engineering processes and capabilities Perform data modeling and schema design to support analytical and reporting requirements Design and build data marts and business layers to facilitate efficient data access and analysis
Requirements
Bachelor’s degree in Computer Science, Information Systems, or other related technical field or equivalent work. Proven experience as a Data Engineer or similar role, with a strong track record of designing and implementing data solutions (1+ years of experience in a similar position). Advanced SQL knowledge/experience - complex queries and query optimization. Proficiency in programming languages such as Python Experienced in the development of data warehouses and proficient in data modeling. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform Experience in building data streams using technologies such as Kafka, Flink, or Spark Streaming considered a plus Strong problem-solving skills and attention to detail. The ability and willingness to learn new technologies on the job.* Self driven, highly motivated, fast learner, ambitious and creative.
