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.

Key Responsibilities

• 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 DevOps 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

Required Qualifications

• 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 NoSQL 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

Preferred Qualifications

• 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

What We Offer

• 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