Data Engineer

• Develop, maintain, and support data pipelines to move data from source systems to Oracle On-Premises ODS.
• Monitor and maintain CDC (Change Data Capture) connectors using Debezium.
• Troubleshoot and optimize Python-based consumer applications and data processing workflows.
• Investigate and resolve data pipeline failures, performance issues, and production incidents.
• Deploy, monitor, and troubleshoot applications running on Kubernetes.
• Support data loading, transformation, and integration processes.
• Maintain technical documentation and operational runbooks.
• Collaborate with cross-functional teams to ensure reliable and efficient data operations.
• Participate in on-call support for critical production issues when required.
• Bachelor's degree in
• Computer Science, Information Technology, Engineering,
• or a related field.
• Minimum 5 years
• of experience as a
• Data Engineer, Backend Engineer
• , or a similar role.
• Hands-on experience with
• Python, SQL,
• and
• Kubernetes
• in a production environment.
• Experience building, maintaining, and troubleshooting

ETL/ELT

• processes or data pipelines.
• Strong knowledge of relational databases such as
• Oracle, PostgreSQL, or SQL
• Server.
• Familiar with
• Docker, Git, CI/CD tools
• , and monitoring tools (e.g., Grafana, Prometheus, ELK).
• Experience with
• Debezium (CDC), Solace/Kafka, or AWS
• is a plus.
• Strong troubleshooting, problem-solving, and communication skills.
• Able to work independently, collaborate with cross-functional teams, and participate in on-call support when required.