Apache Flink Developer Iași

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Apache Flink Developer
Iaşi
Iași, Județul Iași, Romania

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 Apache Flink Developer to join our team and build
- time stream processing applications. You will design, develop, and optimize Flink jobs that power
- driven applications, delivering
- latency insights and automated
- making across the enterprise.

This role is
- 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 Flink applications for
  - time data processing.

Build pipelines for data enrichment, transformations, joins, and aggregations on streaming data.

• 
  Strong programming skills in Java; experience with Kotlin or Python is a plus.
• 
  Hands-on experience with Apache Flink: Data
  Stream API, Table API, Flink SQL, state management, and
  - 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,
  - once semantics).
• 
  Experience building
  - grade Flink jobs with fault tolerance and scalability.
• 
  Familiarity with Kubernetes and containerized/cloud-native deployments of Flink.
• 
  Experience with Kafka Streams or ksql
  DB.
• 
  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.

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.