Azure Data Engineer
Audax Labs
Full-time
On-site
Noida, Uttar Pradesh, India
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Audax Labs is an innovation -driven technology solutions and consulting company. We help our global customers grow and thrive in the digital ecosystem. Our innovative solutions in AI, IoT, Cloud, Analytics, AR, and VR help our customers enhance their digital experience, improve revenue, and achieve operational excellence. Our skilled professionals take over the complexities of planning and execution, while you nurture your pioneering dreams!
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As a member of our team, you will have the opportunity to research, analyze, and solve interesting challenges on a daily basis. Our Innovation Lab helps us add consistent long -term value to our relationships with our customers. We engage with our customers on their mission -critical assignments and help them advance their long -term objectives.
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Role & Responsibilities : Azure Data Engineer<\/b>
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- Experience with Azure Data Factory
<\/span><\/li>- Experience with Azure Data Lake Storage
<\/span><\/li>- Experience with Azure Data -bricks with at least one of the following: Python/Scala/R
<\/span><\/li>- Experience with Apache Spark
<\/span><\/li>- Proficiency in SQL Database
<\/span><\/li>- Proficiency in Azure Synapse Analytics
<\/span><\/li>- Proficiency in building ETL data pipelines
<\/span><\/li>- Strong Python and JavaScript skills
<\/span><\/li><\/ul>Skills and Proficiencies we appreciate:<\/b>
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<\/div>Experience in Power BI
<\/div>Experience with ETL/ELT processes in the Azure cloud
<\/div>Ability to work effectively within Azure DevOps
<\/div>Azure Data certifications will be advantage –
<\/div>DP -203 Data Engineering Microsoft Azure certification
<\/div>DP -900 Microsoft Azure Data Fundamentals certification
<\/div>AZ -400 Designing and implementing Microsoft DevOps solutions certification
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<\/div>Qualification:<\/b>
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<\/div>Bachelor’s degree in computer science, information technology, or a similar field.
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<\/div>Previous experience working as a Azure Data Engineer
<\/div><\/span> - Experience with Azure Data Lake Storage