Senior Data Engineer (GCP preferred / Azure / AWS) at Deutsche Telekom IT Solutions Slovakia

Košice, Region of Košice, Slovakia -

Full Time

Start Date

Immediate

Expiry Date

24 Jun, 26

Salary

0.0

Posted On

26 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

GCP, Azure, AWS, Data Governance, Data Modeling, Database Structures, Capacity Planning, Data Munging, Data Processing Platforms, Team Management, Data Mining, SQL, NoSQL Databases, Tensorflow, Pytorch, Python

Industry

IT Services and IT Consulting

Description

Company Description 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. Job Description Purpose The senior data engineer develops, constructs, tests and maintains architectures, such as databases and large-scale processing systems, and ensures that architecture fully supports requirements of the business. Plays a collaborative role where he/she works closely with the business’s Data and Analytics teams, gathering technical requirements for exceptional data governance. WHAT WILL YOU DO? 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. Qualifications YOU WILL SUCCEED IF YOU: 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) 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 Additional Information WHY SHOULD YOU CHOOSE US? We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life, promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work, career growth, private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas: Financial benefits Benefits with focus on learning and development Benefits with focus on health and sport Benefits with focus on family and work – life balance Other benefits For more information about our benefits click to Benefits Salary Final salary is negotiable. We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 3100€ /brutto. Additional information * Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation. Location: Remote from Slovakia Company: Deutsche Telekom IT and Telecommunications Slovakia Language: English Job category: Technical positions

Responsibilities

The senior data engineer develops, constructs, tests, and maintains data architectures like databases and large-scale processing systems, ensuring they meet business requirements and collaborating with Data and Analytics teams to gather technical requirements for data governance. Responsibilities include designing database structures, managing data lifecycle, performing data manipulation, and developing scalable data processing platforms.