# Data Engineer - Banking

> Unison Group · Singapore, Singapore · Contract · Posted 2026-01-21

**Workplace:** on_site

**Department:** Manish

## Description

-   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

## Requirements

-   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

## Apply

[Apply at Unison Group](https://apply.workable.com/unisongroup/j/1D9D3419C9/apply)

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