Channel VAS, the global Fintech leader, is looking for you! A creative individual that wants to be on board our journey to redefine the Fintech world as we know it. Products and services delivered to over 500 million consumers in over 40 telco and finance partners in more than 30 countries.

If being a part of the world’s #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 from MNOs 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.

As aDataOps Engineer, you will work closely with Data Engineers to ensure the efficient, scalable and reliable operation of our demanding data pipelines and workflows, as well as set up, configure, and maintain our growing big data infrastructure.

What you will do

• Operating, configuring and maintaining our big data infrastructure
• Upgrading, reusing and installing new data engineering technologies to facilitate the demanding needs of our demanding big data operations
• Designing, developing and troubleshooting operational data flows, including data storage, transport, backup and archiving
• Designing and developing end-to-end data processing pipelines
• Building and maintaining CI/CD orchestration
• Supporting the development of our core libraries for batch processing of large volumes of data to the big data infrastructure

What you will bring

• Bachelor's or Master's degree in Computer Science or Informatics
• Working experience in software/data engineering and/or operations/DevOps/DataOps
• Strong understanding of operating systems, networking and software engineering principles
• Working experience with scripting languages, e.g. Python, bash, and/or any programming language, e.g. Java, Scala
• Working experience with the deployment, configuration and maintenance of distributed systems and data/software engineering tools
• Experience with Docker
• Experience with CI/CD
• Familiarity with infrastructure as code, e.g. Ansible

Optional (will be considered a plus):

• Experience with the Apache Hadoop ecosystem (YARN, HDFS, HBase, MapReduce). Experience with MapR is a plus
• Experience with relational and NoSQL databases
• 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:

• Collaborative culture
• Challenging work environment
• Comprehensive private healthcare insurance
• Company phone and laptop