Build, operationalize and monitor data processing systems
Create pipelines to ingest data from diverse sources into analytics platforms (batch & streaming)
Implement apps using Kinesis, Lambda and other cloud-native tools for streaming
Design and maintain data structures including SQL and NoSQL databases
Maintain ELT processes for loading data lakes (Snowflake, Cloud Storage, Hadoop)
Leverage the right tools to deliver testable, maintainable data solutions

🎯 Requirements

3+ years of professional technical experience
3+ years hands-on DBT experience
3+ years hands-on data warehousing
3+ years building scalable data solutions using Hadoop, Spark, Databricks, Snowflake
2+ years Python
3+ years in Azure cloud environments

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