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Metro location and mid-level (5+) demand create moderate competition for specialized Snowflake/Azure skills.
Cloud Snowflake/Azure specialization limits cross-industry portability despite transferable ETL and data engineering skills.
Explicit 5+ years plus mandatory Azure, Snowflake, Synapse, Spark, and ETL skills create strict hiring filters.
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Design, build, and optimize scalable ETL/ELT data pipelines and enterprise data platforms using Azure and Snowflake.
Focus on performance tuning and query optimization of Snowflake data models.
Collaborate with cross-functional teams within an Agile environment to deliver cloud-based data solutions.
5+ years of relevant experience as a Data Engineer or similar role.
Proficiency with Azure Data Factory (ADF), Snowflake (data modeling and query optimization), Azure Synapse Analytics, SQL, Python, and Apache Spark.
Bachelor's or Master's degree in Computer Science, IT, Engineering, or related field.
Location requirement: Hyderabad office (Work from Office).
Experienced in building and optimizing cloud-based data warehouses and ETL workflows, specifically on Azure and Snowflake platforms.
Comfortable working in Agile team settings with cross-functional collaboration.
Skilled in performance tuning and scaling data solutions leveraging Azure Data Services and Snowflake features.