Data Streaming Engineer
Etihad
Employer Active
Posted 13 hrs ago
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Experience
5 - 7 Years
Job Location
Education
Bachelor of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Design, develop, and deploy event-driven applications using Confluent Stream Processing, Apache Flink, and Kafka.
Build real-time data ingestion, transformation, and processing pipelines that meet performance, scalability, and reliability requirements.
Collaborate with data engineers, architects, and business stakeholders to define streaming use cases and implement solutions.
Optimize CEP applications for throughput, latency, and fault tolerance.
Implement monitoring, alerting, and performance tuning for streaming applications.
Ensure best practices for data governance, schema management, and security in Kafka/streaming ecosystems.
Provide support for production systems, troubleshooting issues, and ensuring high availability of event-processing pipelines.
Lead a team of Software Associates/Engineers
Contribute to the low-level architecture/technical design aligned to the high-level solution and business requirements
Work within the agile development team to analyse and decompose stories into tasks for simpler implementation
Proactively identify new frameworks/tools/processes to enhance the efficiency of the development team
Responsible for the end-to-end quality of your own deliverables
Desired Candidate Profile
Bachelor s Degree in related field such as Computer Science, Computer Engineering or Software Engineering.
5+ years of experience in real-time event processing or streaming data engineering.
Hands-on expertise in Confluent Platform (Kafka Streams, kSQL, Schema Registry, Connectors).
Strong development experience with Apache Flink for stream processing (stateful computations, windowing, event-time processing).
Proficiency in programming languages such as Java, Scala, or Python for building Flink/Kafka applications.
Solid understanding of distributed systems, event-driven architecture, and microservices.
Experience with cloud-based streaming solutions (AWS Kinesis, Azure Event Hubs, GCP Pub/Sub) is a plus.
Familiarity with DevOps practices, CI/CD pipelines, containerization (Docker/Kubernetes).
Strong problem-solving skills, with the ability to work in a fast-paced, agile environment.
Knowledge of complex event pattern detection and advanced analytics over streaming data.
Department / Functional Area
Keywords
- Data Streaming Engineer
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Etihad
Etihad Airways, the national airline of the UAE, was formed in 2003 and quickly went on to become one of the world s leading airlines. From its home in Abu Dhabi, Etihad flies to passenger and cargo destinations in the Middle East, Africa, Europe, Asia, Australia and North America. Together with Etihad s codeshare partners, Etihad s network offers access to hundreds of international destinations. In recent years, Etihad has received numerous awards for its superior service and products, cargo offering, loyalty programme and more. All this ties into Etihad s ambitious Journey 2030 strategy. The airline plans to double its fleet size and triple the number of customers over the next six years as it sets out to be the airline everyone wants to fly!
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