Stream Processing Data Engineer (SPDE)

Posted 13 Hours Ago
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Hiring Remotely in Warsaw, Warszawa, Masovian
Remote
Mid level
Information Technology
The Role
The Stream Processing Data Engineer will develop big data solutions, optimize data workflows, and create applications and data pipelines for efficient data handling. They will ensure performance, scalability, and security while supporting project teams and managing tests. Excellent analytical skills, communication, and continuous learning are essential.
Summary Generated by Built In

Company Description

Arηs is a fully independent group of companies specialized in managing complex IT projects and systems for large organisations, focusing on state-of-the-art software development, digital trust, cloud, data science, mobile development, machine learning and infrastructure services.

We are composed of 16 entities across 8 countries worldwide that are unified by the Arηs Group, with more than 2500 consultants. This corporate structure enables us to respond quickly to market changes and customer requests, and to communicate and make decisions without layers of bureaucracy.

Established in 2016, the Greek entity Arηs Developments Hellas aims to extend Arηs Group activities dedicated to the European market providing high-quality services in Software Development, covering the entire application development lifecycle.

Job Description

  • Developing big data solutions
  • Designing, developing, and optimizing data workflows
  • Creating applications and data pipelines that efficiently handle large volumes of data
  • Ensuring optimal performance, scalability, and security
  • Plans and manages tests
  • Support the project team and the customer on all issues related to quality management

Qualifications

  • Bachelor plus a minimum of 4 years of relevant professional experience 
  • Presents excellent command of English, at least at B2 level
  • Hands-on experience on Apache Flink with Apache Beam
  • Hands-on experience on CDC technology based on Debezium and Apache Kafka
  • Hands-on experience on Transactional Data Lake
  • Works unassisted and guides, junior staff
  • Writes specifications, concept documents, end user and technical documentation, communicates effectively with stakeholders on technical and user requirements matters
  • Strong analytical and problem-solving skills with a focus on security and data integrity
  • Excellent communication and teamwork abilities
  • Committed to continuous learning and staying current with industry trends
  • Proactive in adopting new technologies and best practices for data management
  • Ability to work in a fast-paced and dynamic environment and manage complex data workflows

Desirable

  • CDP Certified Professional and/or CDP Data Engineer Certified
  • Experience in Apache NiFi data flows development 
  • Knowledge of HDFS-based storage solutions 
  • Cloudera Data Platform (CDP)
  • Apache Iceberg
  • Continuous learning through Cloudera University and other professional development courses

Top Skills

Apache Beam
Apache Flink
The Company
Luxembourg
1,493 Employees
On-site Workplace
Year Founded: 2003

What We Do

Arηs Group is a market leader in the management of complex IT projects and systems. Founded in Luxembourg in 2003, we’ve grown organically to encompass 16 entities worldwide with over 2,500 employees in Luxembourg, Belgium, France, Greece, Italy, Portugal, Bulgaria and Jordan. With our focus on getting things done, we help our clients achieve their goals with best-of-breed solutions, superior execution and exceptional services. We offer bespoke software development, data science, infrastructure, digital trust and mobile development to government institutions at national and European level, telecom providers, and financial institutions, among others. Our bold company culture is built around working hard and playing hard, with a flat and agile structure that lends itself to efficiency and employee empowerment. We value our diverse workplace of close-knit teams and provide a place where everyone can be supported to learn and evolve.

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