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Mid-level Azure Databricks role in metro locations with common skillset increases competition.
Azure Databricks and cloud-specific skills moderately restrict cross-industry portability.
Explicit years plus mandatory Azure Databricks, ADF, Spark, and AI integration skills create strict shortlisting.
Design, develop, and maintain scalable data pipelines and ETL/ELT workflows using Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Integrate AI and Machine Learning services (Azure OpenAI, Azure Machine Learning, Cognitive Services) into enterprise applications to support AI-driven solutions.
Implement and optimize data lakes, data warehouse solutions, and ensure data governance, security, performance, and cost efficiency on Azure.
3 to 6 years of experience in Data Engineering and Azure Cloud technologies.
Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or related field.
Strong hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Data Lake, Python, SQL, and Spark.
Knowledge of AI/ML integration on Azure and Generative AI solutions.
Experienced in designing and optimizing cloud data platforms with focus on Azure services and large-scale structured/semi-structured data handling.
Familiar with AI/ML service integration including Azure AI services and Generative AI concepts within enterprise applications.
Skilled in developing reusable automation frameworks, supporting CI/CD with Azure DevOps and Infrastructure as Code (IaC).