Data Engineer ID89384

AgileEngine, Bulgaria (remote), Poland (remote), Portugal (remote), Romania (remote), Slovakia (remote), Slovenia (remote), Spain (remote), Ukraine (remote)

Джерело:: jobs.dou.ua

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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.