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Metro Hyderabad, popular data-engineer title, and broad Azure/Databricks skillset drive high applicant competition.
Requires Azure-specific data platform and Databricks experience, moderately limiting cross-industry transferability.
Explicit multi-year experience plus mandatory Azure, Databricks, Python, Spark and CI/CD requirements create strict filters.
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Design, develop, and implement large-scale data engineering solutions using Azure cloud and data lake technologies.
Develop and maintain data analytics solutions primarily using SQL and Azure services such as EventHub, Data Factory, Databricks, Functions, and Blob Storage.
Integrate development, administration, and support activities including scripting (Python, Spark, Unix), data platform management, and CI/CD pipelines with GitHub, Azure DevOps, and Terraform.
6 to 18 years total work experience with 4+ years in software solution development and 4+ years in data analytics using SQL.
4+ years of experience with Azure cloud and data lake development including Azure Data Factory, Databricks, Azure Functions, EventHub, Power Apps, Blob Storage, and Data Lake.
Hands-on experience in scripting (Python, Spark, Unix) and data platforms including Teradata, Cassandra, MongoDB, SQL Server, ADLS, Snowflake.
Experience working with CI/CD tools such as GitHub, Azure DevOps, and Terraform.
Experienced in agile and DevOps-based product development environments involving end-to-end data solution delivery in Azure.
Technical proficiency combining development, administration, and support roles across diverse data platforms and cloud services.
Comfortable managing complex cloud data engineering systems and automating deployment with infrastructure as code and CI/CD pipelines.