Design, build, operate, secure, and monitor data processing systems.
Build automated pipelines to ingest and process data via batch and streaming.
Implement apps using Kinesis, Lambda, and other cloud-native tools for streaming use cases.
Design and maintain ELT processes for loading data lakes (Snowflake, Cloud Storage, Hadoop).
Expose APIs to return data to enterprise applications.
Collaborate with the scrum team to estimate and deliver work in sprints.

🎯 Requirements

8+ years of professional technical experience.
4+ years in data architecture and data modelling.
4+ years with Hadoop, Spark, Databricks, Snowflake.
4+ years Python programming.
2+ years cloud experience (AWS and/or Azure).
Strong client-facing communication and facilitation skills.

🎁 Benefits

Medical, Dental, and Vision Insurance
401(k)
Paid company holidays
Paid time off
Paid parental and caregiver leave

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