GDB/ZE-Cloud Data Engineer(M/F/D) (Hyderabad, IN)

<p>Main tasks<br>• Develop, extend and optimize the data product layer of our Enterprise Datalake with high code standards, tests and suitable documentation to meet both user and internal needs. <br>• Collaborate with the product owner and architect to understand data requirements and provide suitable solutions.<br>• Troubleshoot data and software related issues and optimize pipelines for performance and scalability.<br>• Work with Azure Databricks, Azure Data Factory/Synapse keeping up to date with the latest features and suggest their implementation if beneficial.<br>• Demonstrate fluent communication skills in English (spoken and written).</p> <p>Job Requirements </p> <p>minimum requirement to carry out the work - you might want to point out "additional plus/nice to have skills" that are not mandatory</p> <p>Education <br> Bachelor's degree in computer science, Information Technology, Engineering, Business, or related fields.</p> <p>Work experience <br> Minimum 4-5 years related working experience as a Dataengineer using Azure, Databricks, Python, Azure Data Factory or Synapse</p> <p>Technical &amp; Professional Knowledge (mandatory) <br> Experience in Agile way of working with a DevOps mindset<br> In-depth know how with Lakehouse concepts, Databricks and Unity Catalog.<br> Strong data engineering and development skills to maintain and extend the data product layer of our datalake<br> Strong knowledge in automation &amp; scripting with tools like Github actions, Azure DevOps pipelines, Azure Data Factory, etc.<br>Technical &amp; Professional Knowledge (additional plus/nice to have skills)    <br> Experience with Azure Datafactory/Synapse data flows and pipelines, which are the basis of a legacy application for data products <br> Ideally, automating code generation and code management with the help of AI tools<br> PowerBI as one of the main tools of our users<br> Integration knowledge, how metadata can be exchanged with other applications via APIs e.g. with Colibra datacatalog or an inhouse solution for data product definition<br> Ideally, backed up by vendor certifications (e.g. Microsoft, Databricks).<br> Team player with strong interpersonal, written, and verbal communication skills.</p>