We are looking for an experienced Data Engineer to join a long-term project starting October 1, 2025. The engagement is planned for 18 months, fully remote, with the possibility to work with cutting-edge data technologies in a dynamic and challenging environment. The project will involve collaboration with the client’s technical teams, ensuring high-quality data processing and real-time analytics.
responsibilities :
Design, implement, and maintain robust data pipelines and workflows.
Work with Change Data Capture (CDC) mechanisms to ensure accurate and timely data replication.
Process and analyze data streams using Kafka.
Develop scalable data processing solutions using Spark/Databricks.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Ensure data quality, reliability, and performance across all data solutions.
requirements-expected :
Minimum 8 years of experience as a Data Engineer.
Strong knowledge of Change Data Capture (CDC) principles and best practices.
Practical experience with Kafka for stream processing.
Hands-on experience with Spark/Databricks for data processing and analysis.
Proven ability to work independently in a fully remote environment.
