Data Engineer - Banking

Company : Unison Group

Job Type : Full Time

Singapore, Singapore

Number of Applicants

000+

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Job Description - Data Engineer - Banking

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

Bachelor's degree in Computer Science, Information Technology, or a related field
At least 6 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
Experience with jobs schedulers like Control-m
Experience with Graphana, Prometheus, Splunk will be an added benefit
Quantexa exposure and/or certification a strong plus
Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenge

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Data Engineer - Banking

Job Description - Data Engineer - Banking

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