Senior Big Data Engineer, Fintech
Channel VAS
Athens, Attica, Greece
πριν από 2 μέρες


Channel VAS, the global Fintech leader, is looking for creative individuals that want to join our journey to redefine the Fintech world as we know it, through mobile devices.

Could this be you? Join a team creating amazing products and services that are currently delivered to over 500 million consumers through over 40 telco and finance partners in more than 30 countries.

If being a part of the worlds #1 company in mobile Fintech sounds cool to you, if you find the fields of Big Data, Analytics, Technology and Finance fascinating, then join our team of 200 likeminded individuals, that assist in evolving our technology, products, and services every day.

With unceasing growth in mind, we meticulously look for talented professionals in various positions. Professionals that will provide excellent and steer accessible financial services to most people possible at any chance.

We welcome you to share our vision to lead the global economic and social development, with financial inclusion for all, through mobile value-added services.

Join us as we adapt to our new reality, during and after the pandemic and as we keep performing and offering the same level of extraordinary Fintech solutions and turning challenges into opportunities.

Data is at the core of Channel VAS growth plan and the Data Engineering team is a significant contributor to data-driven automated decision making.

We are currently leveraging and ingesting data from multiple sources into our large-scale big data clusters and we are in the process of optimizing and modernizing our processes and infrastructure as the company scales.

We are looking for a Senior Big Data Engineer to join our growing Data Engineering team. As part of our team you will be able to design and implement highly scalable end-to-end batch and streaming data pipelines and contribute to Channel VAS success.

What you will do

  • Lead the team technically in improving scalability, stability, accuracy, speed and efficiency of our existing Data systems
  • Be comfortable navigating the following technology stack : Scala, Spark, java, Golang, Python3, scripting (Bash / Python), Hadoop, SQL, S3 etc
  • Design, build, test and deploy new libraries, frameworks or full systems for our core systems while keeping to the highest standards of testing and code quality
  • Work closely with experienced Data Engineers, Solution Architects, ML engineers and System Administrators for the design, delivery and support of the companys end-to-end data processing workflows
  • Develop, maintain and optimize our core libraries for batch processing and ingestion of large volumes of data to the big data infrastructure
  • Build and maintain CI / CD orchestration
  • Design and develop end-to-end data processing pipelines
  • What you will bring

  • Bachelor's or Master's degree in Computer Science or Informatics
  • 5+ years of experience in Data engineering
  • Working experience in software / data engineering and / or operations / DevOps / DataOps
  • Working experience with the Apache Hadoop ecosystem (YARN, HDFS, HBase, Spark)
  • Working experience with relational and NoSQL technologies
  • Systems administration skills in Linux
  • Experience with the deployment, configuration and maintenance of distributed systems and data / software engineering tools
  • Optional requirements (will be considered a plus) :

  • Familiarity with infrastructure as code, e.g. Ansible
  • Good understanding of Hadoop ecosystems
  • Experience with data and ML flow engines and tools, e.g. Apache Airflow, Apache NiFi
  • Passion for learning new technologies and eagerness to collaborate with other creative minds.
  • Benefits

  • Comprehensive private healthcare insurance
  • Continuous training
  • Company phone and laptop
  • Αναφορά αυτής της εργασίας

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