Core Responsibilities

Design and implement data capture processes using CDC from on-premise platforms to cloud environments with PySpark. Build and implement event ingestion flows based on Apache Kafka for real-time processing solutions. Develop batch and streaming processing pipelines for data engineering initiatives. Participate in end-to-end solution construction, from event generation to final data consumption.

Requirements

Solid experience as a Senior Data Engineer with batch and streaming processing. Advanced proficiency in Python for data processing and transformation solutions. Experience with GCP and data processing services. Familiarity with Databricks, Apache Spark, and event-driven architectures.

Additional Information

Experience Level

Senior

Employment Type

permanent

Work Mode

Hybrid