Job Openings
Senior Data Engineer (Turkish Language)
About the job Senior Data Engineer (Turkish Language)
Requirements
- - In-depth experience in leading transformations of cloud data platforms.
- - Demonstrated success in deploying large-scale data and analytical solutions in cloud settings.
- - Hands-on proficiency in comprehensive data pipeline creation on platforms such as Azure Data Factory.
- - Deep understanding of contemporary data architectures (Data Lake, Warehouse and Lakehouse).
- - Solid comprehension of data architecture and data modelling techniques.
- - Efficient management of data pipelines from a cost perspective.
- - Acquaintance with CI/CD-driven data pipeline and infrastructure.
- - Agile delivery methodology using Scrum and Kanban frameworks.
- - Ability to independently scope, estimate, and deliver tasks on time within an agile framework.
- - Proactive in enhancing data processes.
- - Proficient in Turkish and English Languages.
Responsibilities
- - Highly skilled in data assessment, data modelling and designing ETL processes.
- - Excellent understanding of the concepts of data lake and Synapse on Azure.
- - Expert level knowledge of building data pipelines with Microsoft Azure Data Factory
- - Expert at T-SQL, Python and Pyspark, with experience in performance tuning and dealing with large data volumes.
- - Extensive experience of developing end-to-end reporting and analytics solutions with technologies like Microsoft Power BI, SSIS, SSRS and SSAS, Power Query / DAX.
- - Good understanding of key concepts of enterprise big data architecture.
- - Experience and good understanding of the full software development lifecycle, including the use of Azure DevOps for continuous integration and deployment CICD.
- - Good level of understanding the differences in the approach for building self-service reporting solutions including the choice of data sources and ETL approach.
- - Understanding security model designs within the data estate.
- - Business knowledge in consumer goods manufacturing would be desirable.
- - Understanding engineering processes for developing APIs.
- - Experience of Agile working practices is essential.
- - Understanding of data quality approaches is essential.