Oferta pracy

Data Engineer

ING Tech PolandAbout the company

  • Konduktorska 35, Katowice
    Katowice, Silesian
  • Offer expired 13 days ago
  • Remote recruitment
  • substitution agreement
  • full-time
  • specialist (Mid / Regular)

ING Tech Poland

Konduktorska 35

Katowice

Technologies we use

Expected

  • Scala

  • Java

Optional

  • Python

  • SQL

  • noSQL

  • Docker

  • Kubernetes

  • Openshift

About the project

The team manages data pipelines and datasets for many advanced analytics projects within ING.

Your responsibilities

  • Developing data pipelines

  • Data engineering

Our requirements

  • You have knowledge of data manipulation and transformation,

  • You have hands-on experience building complex data pipelines,

  • You have great programming skills in a statically typed language, e.g. Scala or Java,

  • You are oriented on delivering great quality results,

  • You are focused problem solver,

  • You are able to work in distributed teams and multinational environment.

Optional

  • You have great skills in interpreted languages, e.g. Python,

  • You have experience with both SQL and noSQL databases,

  • You have experience with using deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD.

  • You have a learning attitude - not only to master new algorithms and technologies, but also on the interpersonal level,

  • You have hands-on experience managing and further developing distributed systems and clusters for both batch as well as streaming data (S3/Spark and/or Kafka/Flink).

What we offer

  • Professional development

  • Certificates and knowledge transfer

  • Training budget

  • Access to the newest technologies

  • International projects

  • Stability of employment

  • Fully equipped workstations

  • Benefits

  • sharing the costs of sports activities

  • private medical care

  • sharing the costs of foreign language classes

  • sharing the costs of professional training & courses

  • life insurance

  • integration events

  • corporate gym

  • video games at work

  • parking space for employees

  • leisure zone

Our Stack Execution:

  • Docker / Kubernetes / Openshift Processing: Apache Spark, Apache Flink,

  • Apache Airflow Storage: Ceph (S3), Apache Kafka, PostgreSQL, Apache Cassandra (and other noSQL DBs), Apache Druid, Apache Avro

  • Apache Parquet Programming: Scala/Java, Python

  • ReactJS Data Security and Lineage: Apache Atlas, Apache Ranger