Data Engineer
4 weeks ago
- Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
- Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
- Ensure data quality and integrity throughout the data processing lifecycle
- Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
- Optimize data engineering workflows for containerized deployment and efficient resource utilization
- Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
- Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
- Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
- Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
- Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
- Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
- Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank
Requirements
- 5+ Years of experience as Data Engineer(Spark, Scala and DevOps)
- Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
- Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
- Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank
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