DataOps Engineer
Lisbon, Portugal
há 55 mins
source :

At CGD (Permanent), in Lisbon, Portugal

Expires at : 2021-06-30

CGD, the largest financial institution in Portugal, is looking for an experienced Data Engineer to join our team in Lisbon.

Main requirements

  • Degree in information systems and computer engineering or similiar;
  • 2+ years of experience performing DataOps or DevOps Engineering projects;
  • Ability to explore, coordinate, design and implement automated solutions for deployment and monitoring of applications and systems in production;
  • Experience in monitoring automation of data solutions using tools such as Grafana, ELK;
  • Experience in automation of data solutions deployment and integration and continuous delivery, using tools such as GitLab, Kubernetes, others;
  • Knowledge of Big Data technologies, namely Hive, Spark, Sqoop, Kafka, HBase, Kudu, others;
  • Knowledge and experience in using different NoSQL and / or RDBMS databases, as well as SQL language;
  • Knowledge in object-oriented programming and software engineering (preferably open-source) on large data platforms and on scale infrastructures : Java, Scala, Python;
  • Knowledge in virtual environments, containers and dockers;
  • Experience in building pipeline orchestration solutions, ETL jobs and other applications and processes using tools such as Airflow, others;
  • Experience in the production and automation of tests (unitary, integration, functional, security, others);
  • Ability to adjust and improve the performance of data solutions;
  • Ability to proactively identify and propose solutions to improve and optimize processes and technical resources and solutions that allow reducing inefficiencies, through the choice and use of the appropriate tools, technologies and processes;
  • Experience in operational support for Data Analysis, Data Engineering and Data Science teams, as well as the tools and platforms used and software solutions produced;
  • Ability to document and share knowledge of implemented processes and solutions and good practices;
  • Work experience using agile and waterfall methodologies;
  • Ability to work in multidisciplinary and autonomous teams;
  • Ability to participate in the entire data life cycle, from ideation to delivery of the production solution, contributing to a vision that guarantees its quality, performance, security and scalability;
  • Excellent troubleshooting and support capabilities for different types of platform and application users, both technical and business;
  • Personality focused on learning and continuous improvement, sharing knowledge, ideas, experiences and disseminating good practices;
  • Nice to have

  • Experience in bank or financial sectors is a plus
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