Data Streaming Application developer

Description
Why Ness
We know that people are our greatest asset. Our staff's professionalism, innovation, teamwork, and dedication to excellence have helped us become one of the world's leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee, you will be working on products and platforms for some of the most innovative software companies in the world.

You'll gain knowledge working alongside other highly skilled professionals that will help accelerate your career progression.

You'll also benefit from an array of advantages like access to trainings and certifications, bonuses, and aids, socializing activities and attractive compensation.

Requirements And Responsibilities
We are looking for a skilled Data Streaming application Developer with strong hands-on experience using Apache Kafka and Apache Flink.You will design, develop, and optimize Data Streaming Applications that power event-driven applications, delivering low-latency insights and automated decision-making across the enterprise.

This role is hands-on, requiring strong programming skills, a solid understanding of data streaming concepts, and experience working with distributed systems at scale. A good grasp of data engineering practices is also important to ensure data quality, reliability, and integration across systems.

What You'll Do

• Design, develop, and deploy Apache Kafka and Apache Flink applications for real-time data processing.
• Build pipelines for data enrichment, transformations, joins, and aggregations on streaming data.
• Develop and optimize Flink SQL queries for real-time analytics and stream processing use cases.
• Integrate Flink jobs with Kafka platforms (e.g., Confluent Platform, AWS MSK, Apache Kafka).
• Implement fault-tolerant, stateful streaming applications with checkpoints and savepoints.
• Optimize Flink jobs for performance, scalability, and reliability in production environments.
• Collaborate with data engineers, platform engineers, and business stakeholders to translate requirements into working solutions.

What You'll Bring

• Strong programming skills in Java; experience with Kotlin or Python is a plus.
• Hands-on experience with Apache Flink: DataStream API, Table API, Flink SQL, state management, and event-time processing.
• Proven experience integrating Flink with Kafka or compatible streaming platforms (Confluent, MSK, Ververica).
• Proficiency with SQL and Flink SQL for querying and transforming streaming data.
• Solid understanding of data streaming concepts (event-time, watermarks, windowing, exactly-once semantics).
• Experience building production-grade Flink jobs with fault tolerance and scalability.
• Familiarity with Kubernetes and containerized/cloud-native deployments of Flink.
• Experience with Kafka Streams or ksqlDB.
• Exposure to data lakes/warehouses (e.g., Iceberg, Delta Lake, Snowflake).
• Experience with machine learning pipelines or feature engineering on streaming data.
• Problem solver with the ability to handle complex streaming use cases.
• Collaborative mindset, working effectively with data engineers, platform teams, and stakeholders.
• Curiosity and innovation — passionate about emerging technologies in stream processing.
• Strong communication skills for explaining technical concepts to diverse audiences.
• Confluent Certifications is highly recommended (CCDAK/CCAAK)

Not checking every single requirement?
If this role sounds good to you, even if you don't meet every single bullet point in the job description, we encourage you to apply anyway. For most of the candidates that applied, we found a role that was a very good fit with their skills.

Let's meet and you may just be the right candidate for one of our roles.

At Ness Digital Engineering we are willing to build a work culture that is based on diversification, inclusion, and authenticity.