:We are seeking the worlds top engineering talent to join our client, a prestigious and globally renowned investment company headquartered in Abu Dhabi.We are hiring for their Engineering division specializing in cloud infrastructure for collecting and providing market data which offers a range of services spanning equities, bonds collaborating across various teams and verticals to deliver cutting-edge solutions.Responsibilities:
Design, develop, and deploy scalable cloud infrastructure for high-frequency market data processing.
Take ownership of complex engineering problems, ensuring high-quality deliverables within specified timelines.
Develop and optimize real-time data processing pipelines using Apache Flink, Kafka, and other streaming technologies.
Implement and manage high-performance databases (SQL, NoSQL, columnar storage) for efficient data retrieval and storage.
Write efficient, production-ready code in Python with a focus on backend and data processing.
Participate in code reviews, architectural discussions, and technical design sessions to maintain high system scalability.
Work closely with stakeholders to translate business requirements into technical solutions.
Stay updated with emerging cloud-native technologies (AWS, Kubernetes, Docker) and incorporate them into development.
Contribute to the continuous improvement of development processes, automation, and best practices.
Qualifications:
Experience: From 5 to 15 years).
Bachelors or higher from a top-tier university in Computer Science, Engineering, or related field.
Proven track record of experience in leading technology companies.
Deep expertise in Python for backend development and high-performance computing.
Hands-on experience with real-time data streaming using Apache Flink, Kafka, or Spark Streaming.
Strong database experience (PostgreSQL, MySQL, Redis, Cassandra, or cloud-native databases like BigQuery, Snowflake).
Proficiency in cloud technologies (AWS, Kubernetes, Docker, Terraform) is a plus.
Solid understanding of software engineering principles, design patterns, and best practices.
Excellent problem-solving skills, ability to think critically and analyze complex datasets.
Strong communication skills and ability to collaborate with cross-functional teams.