data engineer (etl developer)

yayınlanma
şimdi başvur

iş ilanı detay

yayınlanma
lokasyon
kozyatağı, ıstanbul (anadolu)
sektör
IT & Telekomünikasyon
referans numarası
4792

iş tanımı

We are looking for “Data Engineer” for our customer in insurance sector.

This person will be responsible for the data architecture, modeling, design and development of data warehouse solutions, and can understand business/system/data challenges translate them into requirements/solutions.



Performing data integration for data warehouse applications



Manage the underlying data processing and architecture as it flows from the data sources through ETL processing to staging areas and through ingestion into the back-end databases that drive the platforms.



Understanding of user data requirements, analysis of source data and designing data models to support analytic reporting.



Perform Logical and physical database design for schemas required in support of Business Intelligence tools such as Oracle OBIEE and Microsoft Power BI



Recommend and implement data validation and data quality enhancements for the organization. Identify data errors, risks, and inefficiencies and improve process and system functionality to increase system controls, minimize data errors, and process data accurately and efficiently.



Ensure the designs and solutions comply with the Aegon Global Standards and Blueprints.

nitelikler

At least 5 years’ experience on a similar role in



Experience in developing solution architecture guidelines, policies and processes and guiding design teams.



Expertise with data modelling, database design, and data management techniques and models including:



Data Warehouse / Data Marts



Data mining



ETL



Big Data / Data Lake



Business Intelligence



Conceptual, logical and physical data modelling.



OLAP design and implementation



Familiarity with object modelling in UML



Knowledge of an enterprise-scale SDLC.



Experience in Oracle DB, Oracle DWH, Oracle ODI, Oracle OBIEE and Power BI



Worked with Analytics tools such as Oracle BI Power BI



Broad understanding on architectures of Hadoop, AWS or Azure data lakes



Understanding of machine learning techniques and algorithms



Knowledge about common data science toolkits, such as Python R



Strong verbal and written communication skills
İşbu iş ilanına başvurmadan önce KVKK Aydınlatma Metni linkinde bulunan “aydınlatma beyanını” okumanız gerekmektedir. İşbu iş ilanına başvurmanız durumunda bahsedilen aydınlatma beyanını okuduğunuz ve kabul ettiğiniz addedilecektir.