Munkavégzés helye: Budapest XIII. kerület (Pest megye)
Jelentkezési határidő: 2022. január 31.
Várható kezdés: 2022. február 01.
We are a global energy business, involved in every aspect of the complex energy system that drives our world.
We operate in more than 70 countries worldwide. We find and produce oil and gas on land and offshore and we move energy around the globe. We manufacture and market fuels and raw materials used in thousands of everyday products, from mobile phones to food packaging.
Every day, we serve millions of customers around the world. ‘Our goals aim to balance society’s need for more energy with our clear ambition of playing our part in the transition to a lower carbon world.
Elvárások a jelölttel szemben
5+ years of experience in data integration roles
Operational and source systems table access and manipulation (e.g. SAP, Oracle)
Variety of integration methods including ETL, virtualisation, semantic, FTP and SOA (etc.) both in batch and near real time
Data analysis, profiling & discovery
Expert-level understanding of working with data models
Architecture certification (e.g. TOGAF)
Data integration tools such as SAP Data Services, Informatica etc
Proficiency in English
Angol - Felsőfok, szóban és írásban
Identify optimum sourcing & integration strategy ensuring transparency of data requirements
Work with source systems specialists to understand data structures and tables
Ensure an accurate representation of the source system is landed within an analytics environment with only crucial changes (e.g. data formats) effected in a controlled way
Contribute to the upkeep of the data catalogue / data dictionary which creates – over time – a defined list of data sources which indicate best versions (golden copies)
Data Ingestion: Move and combine data from one or more sources through the creation of sustainable integration routines & methods
Deploy and maintain development standards and blueprints across a range of integration techniques and technologies
Find opportunities to develop technology enablers that will help the business to deliver future data management needs which inform tools decision trees for integration
Identify risks, dependencies, problems, challenges and complexities with the deployment of architecture, technology and development standards
Data Collaboration: Work with other areas of data governance, data modelling community, Innovation & Engineering, IT to determine optimum approach for data preparation and associated systemic cleaning
Data Product Delivery: Deliver data packets which support operational cutover, DQ improvements and analytics-ready data science exploitation
Deliver effective on-boarding of new data sources into strategic mastering systems (e.g. SAP MDG)
Own and develop relevant data integration work products as part of the DAS data change methodology
Ensure data integration aspects are delivered as part of Gold and Silver data related change projects