IoT/Data Engineer

IoT/Data Engineer

TeamQuest

Standort

Hexjobs Insights

Poszukiwana osoba na stanowisko Inżyniera IoT/Data. Odpowiedzialność za projektowanie i wdrażanie rozwiązań przetwarzania danych oraz utrzymanie aplikacji w chmurze. Wymagana znajomość technologii Apache Flink oraz SQL.

Schlüsselwörter

Apache Flink
Apache Kafka
Apache Doris
SQL
Linux

Vorteile

  • Atrakcyjna pensja (umowa B2B)
  • Dostęp do szkoleń wewnętrznych i zewnętrznych
  • Możliwość awansu na stanowisko Team Leadera
  • Telefon służbowy do użytku prywatnego
  • Atmosfera pracy bez dress code'u

What you will do

Our client is a rapidly growing IT company specializing in providing comprehensive IT infrastructure solutions. Since its establishment in 2017 in Łódź, the company has continuously expanded its offer, including virtualization, backup, LAN networks, servers and storage, cybersecurity, and cloud solutions. Thanks to a team of experienced specialists, the company ensures audits, consultations, design, construction, implementation, and maintenance of IT systems, also offering IT outsourcing services. We are looking for talented IT professionals who want to join our team and support us in creating innovative solutions for medium and large enterprises from various industries. If you are a network administrator, backup specialist, virtualization, IT security expert, or an information systems engineer, we invite you to apply. Join us and develop your skills in a company that focuses on continuous development and innovation.

IoT/Data Engineer

We offer:

  • Attractive salary (b2b contract)
  • Exposure to new technologies
  • Implementation and maintenance of multiple projects
  • Getting to know various IT environments and infrastructures
  • Access to internal and external training
  • Integration meetings and work in a casual atmosphere (you can check on social media what we mean)
  • Opportunity for promotion to Team Leader position - for individuals showing commitment, initiative, and leadership skills
  • Subsidies for training and courses
  • Integration meetings
  • Company phone for personal use
  • No dress code
  • Coffee / tea

Responsibilities:

  • Designing, creating, testing, and deploying Apache Flink job configurations for stream data processing.
  • Maintaining and developing the Apache Flink cluster, including monitoring, diagnosing, and resolving performance and stability issues.
  • Collaborating with the BI team on designing and optimizing queries and structures in the Apache Doris database, assisting in converting Qlik reports.
  • Implementing and maintaining a data warehouse for reporting and analytical systems.
  • Designing, implementing, and developing a data collection system for water meters and power generators (IoT) using technologies such as MQTT, Modbus.
  • Participating in integration projects at clients, including occasional onsite visits throughout Poland.
  • Contributing to the creation and improvement of processes and best practices related to maintaining production and test environments.

Requirements:

  • Experience working with technologies: Apache Flink, Apache Kafka, Apache Doris,
  • Good self-organization skills, ability to solve problems independently and collaborate with a team.
  • Ability to create and maintain clear pre-implementation and post-implementation documentation.
  • Basic knowledge of databases in the areas of configuration, administration, and optimization (MSSQL, MySQL/MariaDB, PostgreSQL, Apache Doris).
  • Knowledge of SQL and principles of data modeling in analytical and reporting environments.
  • Proficiency in English for reading technical documentation and communicating with the support department of a given manufacturer

Additional advantages:

  • Experience with Change Data Capture (CDC), Zookeeper, Ceph, Keepalived, Proxmox, or a similar stack.
  • Good knowledge of Linux operating systems (RHEL and derivatives, Debian and derivatives) in the scope of daily administration.
  • Experience in the Data Warehouse area, including architecture design, processing processes, and integration of streaming data.

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Aufrufe: 3
Veröffentlichtvor 4 Tagen
Läuft abin 26 Tagen

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