Data Engineer (Senior Solution Designer) for Big Data
Košice, Slovakia (Slovak Republic)
Applications have closed
Deutsche Telekom IT Solutions Slovakia
Deutsche Telekom IT Solutions Slovakia sa stáva synonymom progressu a kvalitatívneho apelu na všetky riešenia, ktoré robia vaše životy kvalitnejšími a efektívnejšími.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
Design new solution (standard and non-standard) to fulfill customer requirements. Execute testing and analyzes to identify flaws of the configuration. Create migration concepts and plans describing all necessary steps to deliver successful migration of new solution. Execute and support migrations/implementation of designed solution to deliver new functionality to the customer. Test, validate and document new releases in order to identify flaws and provide migration plan from old to new version of the release.
General description
- Maintenance, improvement, cleaning, and manipulation of data in the business’s operational and analytics tools
- Leads innovation through exploration, benchmarking, making recommendations, and implementing big data technologies
- Explore and implement new technologies within area of Cloud based Big Data solutions, like Databricks, Data Warehouse, Confluent, Spark, HD Insight, etc..
- Enabling and running data migrations across different technologies and platforms
- Build stable, scalable, and repeatable data-driven products
- Perform, coordinate and improve most complex activities (3rd level environment) needed to provide IT services and the supporting infrastructure in order to fulfill relevant KPI’s
Key accountabilities
- Design, develop, test, implement and support big data cloud based application in order to deliver quality standard cloud product portfolio
- Build and develop concepts, processes and methods for automation, optimization and standardization to satisfy efficiency and automation requirements
- Analyze complex data elements and systems, data flow, dependencies, and relationships in order to contribute to conceptual physical and logical data models
- Testing and validation in order to support the accuracy of data transformations and data verification used in machine learning models
- Managing the life cycle of multiple database tools by enabling smooth upgrades and/or installation and support of new capabilities
- Contribute to the development of the capacity planning function to properly identify needed hardware, software, database configuration / architecture to support application / business needs
- Designs, builds, verifies, implements and maintains the structure of databases to support business needs including integration of vendor database solutions into data environment
- Data munging, manipulation, cleansing and blending from multiple data sources and exposure to various data types and storage paradigms
- Working with data to solve business problems and will build and maintain the infrastructure to answer questions with data
- Provide project deliverables in order to fulfil the project scope
- Provide overall solutions and principles in planning, developing and implementing new cloud products to satisfy business requirements
- Mentor developers to spread knowledge level in the team and develop their skills
- May provide consulting services to project teams on areas of expertise
- Researches development in assigned technology, determines business requirements, proposes changes and develop implementation plans
Qualifications
Special technical skills
- Experience with programming languages (Python,R, Scala_
- Experience with Cloud PaaS solution with BigData area (Azure, or AWS)
- OR Experience with application engineering & Linux OS,
- Knowledge of data processing methods (Hadoop, Kafka, Spark)
- Overview of distributed file systems, SQL and NoSQL Databases
- Knowledge about Data streaming, Data warehousing
- Background about cloud products in range of data processing
- Capability of communicating effectively with business and data science leaders on project status, timeline and technical results
Education
- University degree
Experience
- 3-5 years’ experience in the area of responsibility , valid certification in given technology
Languages
- English C1,
- German B2
Others
- Strong presentation skills,
- Project leadership skills
- Valid certification in given technology
Additional Information
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 1900 € /brutto.
Additional information
* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.
Tags: Architecture AWS Azure Big Data Consulting Databricks Data warehouse Data Warehousing Engineering Hadoop Kafka KPIs Linux Machine Learning ML models NoSQL Python R Spark SQL Streaming Testing
Perks/benefits: Career development Health care
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