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Generalist Data Engineer title, metro Hyderabad, and broad Azure skillset create high applicant competition.
Skills are transferable across industries but emphasize Azure cloud and data-lake experience.
Explicit 6–18 year range plus mandatory Azure, Databricks, Python, Spark, and SQL skills enforce strict shortlisting.
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Design, develop, and implement large-scale data engineering solutions on Microsoft Azure cloud environment.
Develop, maintain, and support data analytics platforms using SQL and various Azure services including Azure Data Factory, Databricks, and EventHub.
Incorporate CI/CD pipelines and DevOps practices using tools like GitHub, Azure DevOps, and Terraform to enable continuous integration and deployment.
6 to 18 years of total work experience.
Minimum 4 years of experience in software solution development using agile, DevOps, and product development models.
Minimum 4 years of hands-on experience in cloud development and data engineering on Microsoft Azure services.
Proficiency in SQL for data analytics and experience with scripting languages such as Python and Spark.
Strong expertise in Microsoft Azure cloud data technologies including Azure Data Factory, Azure Databricks, Azure Blob Storage, and Azure Data Lake.
Experienced in combining development, administration, and support roles across diverse big data platforms such as Teradata, Cassandra, MongoDB, and Snowflake.
Capable of operating within agile teams using DevOps and product-centric development models emphasizing CI/CD best practices.