Data Streaming Developer

We are looking for a talented and motivated Data Streaming Developer with hands-on experience in Apache Kafka and Apache Flink to join our team. In this role, you will be responsible for designing, developing, and maintaining real-time data-streaming applications and pipelines that power our data-driven solutions.

The ideal candidate is passionate about data technologies and stream processing, has a strong technical background, and thrives in a collaborative environment. You will work closely with data engineers, architects, and other technical stakeholders to deliver scalable and efficient data-streaming solutions.

• Development and Implementation:
  • Design, develop, and deploy real-time data streaming applications using Apache Kafka, Apache Flink and Apache Spark
  • Build and maintain data pipelines for ingesting, processing, and delivering streaming data
  • Integrate Kafka, Flink and Spark with other data systems, such as databases, data lakes, and analytics platforms
• Optimization and Troubleshooting:
  • Optimize Kafka topics, partitions, and consumer groups for high throughput and low latency
  • Tune Flink jobs for performance, scalability, and fault tolerance
  • Build resilient architectures using multi-region clusters and high-availability patterns
  • Monitor and troubleshoot data streaming applications to ensure reliability and performance
• Collaboration and Support:
  • Work closely with data architects, engineers, and analysts to understand requirements and deliver solutions
  • Collaborate with Dev Ops teams to deploy and manage streaming applications in production environments
  • Provide technical support and guidance to team members on Kafka and Flink best practices
• Innovation and Improvement:
  • Stay up-to-date with the latest developments in low latency data and stream processing technologies
  • Propose and implement improvements to existing data streaming processes and infrastructure

• Education:
  • Bachelors degree in Computer Science or Engineering, or equivalent work experience
• Experience:
  • 2+ years of hands-on experience with Apache Kafka and Apache Flink
  • Proven experience in developing and deploying real-time data streaming applications
  • Familiarity with distributed systems, event-driven architectures, and stream processing concepts
  • Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
• Technical
  
  Skills:
  
  
  • Proficiency in programming languages such as Java, Scala, or Python
  • Strong understanding of Kafka components (e.g., brokers, producers, consumers, Kafka Connect, Schema Registry)
  • Hands-on experience with Flink APIs, stateful stream processing, and event time processing
  • Knowledge of data serialization formats (Avro, Protobuf, JSON) and messaging protocols
  • Familiarity with SQL and No
    
    SQL databases
• Soft Skills:
  • Strong problem-solving and analytical skills
  • Excellent communication and teamwork abilities
  • Self-motivated and able to work independently in a fast-paced environment

• Experience with other stream processing frameworks (e.g., Kafka Streams, Spark Streaming)
• Knowledge of data governance, security, and compliance best practices
• Familiarity with modern data stack tools (e.g., Snowflake, Databricks)
• Certifications in Kafka, Flink, or cloud platforms

• Competitive salary and benefits package
• Opportunities for professional growth and development
• A collaborative and innovative work environment
• The opportunity to work with a variety of clients in various industries, solving hard problems in data engineering and high-performance computing
• Flexible working hours and remote work options