Senior Data Engineer (GCP preferred / Azure / AWS) (m/f/d)

Our brand Deutsche Telekom IT Solutions Slovakia entered the life of Košice region in 2006 under the name of T-Systems Slovakia and ever since has been inextricably linked with the region when became one of the founding members of Košice IT Valley. We have managed to grow from scratch to the second largest employer in the eastern part of the country with more than 3900 employees. Our goal is to proactively find new ways to improve and continuously transform into the type of company providing innovative information and communication technology services.

We are hiring to our team Senior Data Engineer who will develop, construct, test, and maintain data architectures, including databases and large‑scale processing systems, ensuring that these architectures fully support the requirements of the business.

In this role, the Senior Data Engineer plays a collaborative part, working closely with the business’s Data and Analytics teams, gathering technical requirements and contributing to exceptional data governance across the organization.

Possible specialization

- Experience with usage of ML tools e.g. Tensorflow, Pytorch
- Knowledge of programing languages used in the field of ML (e.g. Python, R)
- Knowledge of distributed filesystems

Responsibilities

Analyses complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models.; Designs, builds, implementation and maintain the database structures to support business needs including integration of vendor database solutions into data environment.; Contributes to the development of the capacity planning function to properly identify needed hardware, software, database configuration / architecture to support application / business needs.; Manages the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities.; Data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms including data mining.; Works with data to solve business problems and build and maintain the infrastructure to answer questions with data.; Develops and manages scalable data processing platforms used for exploratory data analysis and real-time analytics.; Oversees activities of the junior data engineers, ensuring proper execution of their duties and alignment with business vision and objectives.

Requirements

have education of Information technologies –– Master’s degree; have experiences with ICT Analysis, Architecture & Design - 5 years; have experiences with Cloud solutions , preferably GCP (orAzure, or AWS) in range of data processing - Expert; Machine learning - Advanced; have experiences with Data Analytics – visualization - Expert; have experiences with Big Data (e.g. MapReduce, Hive, HDFS, YARN, HBase, Oozie) - Expert; have experiences with Data processing methods (Kafka, Spark) - Advanced; have experiences with Data streaming, Data warehousing -Expert; have experiences with SQL and NoSQL Databases - Advanced; have experiences with programming, scripting - Advanced; have Data mining techniques - Advanced; have analytical thinking, Team management, cross-functional Collaboration, strategic thinking and ability to Innovate, Effective Communication and Stress Tolerance; speak English - Advanced (C1) and German advantage - Intermediate (B1)