Senior Data Engineer

TalenTailors is currently seeking a Senior Data Engineer to join our customer`s team.

About the product:

It is a new generation of data service provider, specializing in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organizations. The broad range of data-driven solutions in data consulting and digital marketing are designed to meet clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. The company’s data-driven services are built upon the deep AI expertise the company’s acquired with a 1000+ client base around the globe. The company has 1000 employees across 20 offices who are focused on accelerating digital transformation.

Responsibilities:

• Highly skilled in data assessment, data modelling, and designing ETL processes.
• Excellent understanding 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, 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.

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.

Benefits

• Good compensation
• Benefit package
• Strong team and career growth
• Challenges every day!
• Salary range $48,000-$50,000 annual