Senior Data Engineer

Sendeo Dağıtım Hizmetleri Anonim Şirketi

First of all, let's explain; “How is it with us?”;

• We are a Koç Holding & Aygaz subsidiary, a start-up company.
• We set out to bring innovative solutions and services to our industry and to develop the culture of end-point delivery!
• We design our processes with McKinsey, from which we receive management consultancy.
• With the power we get from our technology and people, we offer new generation delivery solutions.
• We are growing rapidly day by day with our passionate team and ambitious goals.
• Unique customer experience, continuous learning and improvement, innovation and dynamism are in our DNA.
• We work agile, use the latest technologies, and constantly improve ourselves.

We are looking for a "Data Engineer", who will work with us in our Technology department on this exciting journey, is at least as excited as we are to meet the expectations of our customers and has the following characteristics.

If you say “these expectations describe me exactly”;

• Demonstrated experience of turning business use cases and requirements to technical solutions.
• Experience in business processing mapping of data and analytics solutions.
• Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
• Azure Synapse Analytics, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics, Azure Data Lake is a plus.
• Knowledge of Python is a plus.
• Experience preparing data for Data Science and Machine Learning.
• Experience preparing data for use in Azure Machine Learning and/or Azure Databricks is a plus.
• Demonstrated experience preparing data and building data pipelines for AI Use Cases (text, voice, image, etc.).
• Designing and building Data Pipelines using streams of IoT data.
• Working experience with Visual Studio, PowerShell Scripting, and ARM templates.
• Experience with Git/TFS/VSTS is a must.

If you say “I have it happily” for these responsibilities;

• Translating business requirements to technical solutions leveraging strong business acumen and turn them into a best-practice design.
• Analyzing current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics PaaS Services.
• Supporting the planning and implementation of data design services, providing sizing and configuration assistance and performing needs assessments.
• Delivery of architectures for transformations and modernisations of enterprise data solutions using Azure cloud data technologies.
• Designing and building Modern Data Pipelines and Data Streams.
• Designing and building Data Service APIs.