· Design, implement, and maintain data pipelines and ETL processes
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· Contribute to the development and optimisation of a Databricks -based data platform in Azure
<\/span><\/span><\/span><\/p>
· Deploy and operate Azure AI services supporting analytics and AI initiatives
<\/span><\/span><\/span><\/p>
· Ensure data governance, security, and compliance across data and AI services
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· Perform performance tuning and optimisation of data workloads
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· Collaborate with data scientists, architects, and cross -functional teams
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· Provide technical input on architectural and technology decisions
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· Support documentation and knowledge sharing related to data and AI infrastructure
<\/span><\/span><\/span><\/p>
<\/span><\/span><\/span><\/p>
C. Required Skills & Expertise
<\/span><\/span><\/span><\/p>
Must Have
<\/span><\/span><\/span><\/p>
· Proven experience as a Medior Data Engineer or Data / AI Engineer
<\/span><\/span><\/span><\/p>
· Strong hands -on experience with Databricks
<\/span><\/span><\/span><\/p>
· Solid experience with the Microsoft Azure platform
<\/span><\/span><\/span><\/p>
· Experience designing and maintaining data pipelines and ETL processes
<\/span><\/span><\/span><\/p>
· Strong programming skills in Python and SQL
<\/span><\/span><\/span><\/p>
· Experience working in complex or enterprise environments
<\/span><\/span><\/span><\/p>
Nice to Have / Should Have
<\/span><\/span><\/span><\/p>
· Experience with Azure AI services
<\/span><\/span><\/span><\/p>
· Experience with Infrastructure as Code (Terraform)
<\/span><\/span><\/span><\/p>
· Knowledge of Apache Spark
<\/span><\/span><\/span><\/p>
· Familiarity with data governance and security practices
<\/span><\/span><\/span><\/p>
· Microsoft Azure certifications
<\/span><\/span><\/span><\/p>
<\/span><\/span><\/span><\/p>
<\/div><\/span>