Senior Data Engineer

Senior Data Engineer (325074)

	Not specified
	Financial Services
	Mohandseen, Giza, Egypt Sheikh Zayed City, Giza, Egypt

Collaborate with cross-functional teams, including data scientists, data analysts, and software engineers, to design, develop, and maintain data engineering solutions using Scala and Python.
Drive the exploration and implementation of new data engineering technologies, frameworks, and tools to enhance performance, scalability, and efficiency.
Work closely with infrastructure and operations teams to understand and optimize hardware and resource consumption in data engineering projects.
Develop a deep understanding of the underlying hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
Participate in the design and architecture of data pipelines, ensuring high performance, fault tolerance, and scalability.
Conduct research and stay up-to-date with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.

Bachelor’s degree from a reputable university.
Minimum 4 years of relevant experience as a Software Engineer, Preferably Minimum 2 years of experience in Data Engineering.
Excellent proficiency in Spark, Scala, Python, MongoDB, and hands-on experience building robust and scalable applications.
Solid understanding of data structures, algorithms, and object-oriented programming principles.
Experience with distributed data processing frameworks such as Apache Spark is highly desirable.
Strong interest in gaining knowledge of hardware infrastructure, resource consumption optimization, and project development in data engineering.
Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra) is beneficial.
Excellent ability to work in an Agile development environment and manage multiple priorities effectively.
Familiarity with Apache Hive, Hadoop HDFS, and other relevant data engineering technologies is a plus.
Excellent problem-solving and analytical thinking skills.
Excellent communication and collaboration skills, with the ability to work effectively in a team setting.
Proficiency in Arabic and English languages, both written and verbal is a must.