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Metro, popular Azure data role with broad Azure/Databricks skillset attracts moderate competition.
Azure-specific tooling increases domain specificity, but core data engineering skills remain transferable.
Multiple explicit years and mandatory Azure, Databricks, Python, SQL skills enforce strict shortlisting.
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Design, develop, and implement large-scale data engineering solutions leveraging Microsoft Azure services.
Develop and support data analytics and cloud data lake platforms using tools such as Azure Data Factory, Azure Databricks, and Azure Blob Storage.
Utilize scripting (Python, Spark, Unix) and manage CI/CD pipelines with GitHub, Azure DevOps, and Terraform for solution deployment and automation.
6 to 18 years of total work experience.
Minimum 4 years of software solution development in agile, DevOps, or product environments.
At least 4 years of data analytics experience using SQL and cloud development experience with Azure data services.
Experience working in Hyderabad or willingness to work at Hyderabad location (Job Location: Hyderabad).
Experienced in Microsoft Azure cloud data engineering technologies including Azure EventHub, Data Factory, Databricks, Data Lake, and Azure Functions.
Proven skills combining development, administration, and support across multiple data platforms such as Teradata, Cassandra, MongoDB, and Snowflake.
Comfortable operating in agile and DevOps environments with hands-on scripting and CI/CD pipeline management.