Data Engineer Apache Flink

Porto, Porto

Winning

We inspire action through science Winning is a consulting firm with a global view: to apply scientific thinking and scientific methods to business challenges. Established in 2012, with a decade of existence with continuous growth. Spread over 4...

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At WINNING CONSULTING we are looking for a Data Engineer Apache Flink profile to join our teams in a project for an important client in the Banking Sector - (Hybrid)

The chosen person will be responsible for developing and maintaining Flink applications, optimizing performance, and troubleshooting any issues that arise.
He/she should have a deep understanding of stream processing and batch processing using Apache Flink. 
Strong programming skills in Java or Scala are required.
Experience with other big data technologies such as Hadoop and Spark is a plus.

To achieve this, you'll need: 


REQUIREMENTS
  • Develop and maintain Apache Flink applications
  • Optimize performance and ensure scalability
  • Troubleshoot and resolve any issues
  • Expertise in Apache Flink
  • Strong programming skills in Java or Scala and SQL
  • Knowledge of stream processing and batch processing
  • Familiarity with big data technologies like Hadoop and Spark
  • AWS data services
  • Proven experience with projects in Flink production Java or Scala and SQL
  • Experience with Hadoop and Spark

Candidate to be based in Paris or in Porto 


WHO WE ARE?

Winning Consulting is a consultancy company that offers consultancy, training, recruitment and research services. We support our clients in the search for innovative solutions, from the application of scientific knowledge to solve complex management problems to the digital and technological transformation of organizations. 

If you want to know more about us, visit our website: https://www.winning-consulting.com/

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: AWS Banking Big Data Consulting Flink Hadoop Java Research Scala Spark SQL

Region: Europe
Country: Portugal

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