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Data Engineer ID89384

Джерело:: djinni.co

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Що робити

Design, develop, and optimize scalable ETL/ELT data pipelines using Databricks, PySpark, and SQL.
Build and operationalize agentic workflows to automate data engineering and operational processes such as data validation, issue identification, troubleshooting, and workflow execution.
Integrate agentic capabilities with existing Databricks, GCP, BigQuery, and Delta Lake environments.
Develop data pipelines and processing solutions to support new business requirements and datasets.
Build reusable frameworks and components that can be leveraged across multiple data engineering and business use cases.

Що очікуємо

5+ years of strong hands-on experience with Databricks and PySpark.
Advanced SQL and data-processing skills.
Hands-on experience with GCP, particularly BigQuery.
Experience with Delta Lake and modern data lake/lakehouse architectures.
Strong understanding of ETL/ELT, data pipeline design, performance optimization, and data quality.

Що пропонуємо

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! :)
About the role
We are looking for a Data Engineer with strong Databricks and GCP experience to develop scalable ETL/ELT pipelines and productionize agentic workflows for data engineering automation.
The mandatory requirements are 5+ years of experience with Databricks and GCP, advanced SQL, and experience with Delta Lake and lakehouse architectures, along with an upper-intermediate English level. Experience building AI agents is a plus.

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