نظرة عامة على الوظيفة
- مستوي الخبرة
- +7 سنوات
- نوع العمل
- دوام كامل
- نوع مكان العمل
- Not specified
- الموقع
- Not specified
- Job function
- تكنولوجيا المعلومات والتكنولوجيا
- اخر موعد للتقديم
- 09 سبتمبر 2024
عن الوظيفة
Envision Employment Solutions is currently looking for Senior Data Engineers for one of our partners, a very well-known Company.
Job Summary:
As a Senior Data Engineer, you will shape the technical vision of the digital product and build distributed transactional systems. Working alongside peers in design and product, you will bring to life a world-class consumer finance product, driving innovation and creating game-changing experiences for our customers.
If you are passionate about building breakthrough digital products, and if you thrive in a diverse and inclusive team, This is the perfect opportunity for you. Join us at the forefront of digital retail in Egypt and help shape the future of our industry, one breakthrough at a time.
Responsibilities:
- Design, develop, and maintain large-scale data pipelines using Python, SQL, and big data technologies such as Spark and Kafka. - Optimize data pipelines for scalability, performance, and reliability in a distributed environment. - Develop and implement data storage and retrieval solutions using both relational and NoSQL databases. - Work closely with cross-functional teams to ensure effective data integration and management. - Continuously learn and stay abreast of emerging frontend technologies, particularly, and share your knowledge with the team. - Be part of the foundation team at our fintech squad and play a pivotal role in building Egypt's leading consumer finance product. - Lead by example and actively promote a safe, collaborative, diverse, and agile company culture, inspiring others to embrace our values.
المتطلبات
Requirements:
- 5+ years of experience building and maintaining large-scale data pipelines, with expertise in data architecture, data warehousing, and database design. - Proficiency in Python, SQL, and experience working with both relational and NoSQL databases. - Familiarity with data integration and ETL tools, as well as big data technologies such as Spark and Kafka. - Experience with cloud-based data solutions (AWS preferred) and the ability to build and optimize data pipelines in a distributed environment. - Expertise in creating and executing data engineering strategies in line with business objectives and best practices in the industry. - Proven ability to design, build, and optimize scalable, secure, and performant data infrastructures. - Collaborative and agile mindset with strong teamwork skills. - Willingness to continuously learn and improve skills and stay up-to-date with emerging technologies and industry trends.