Quantexa Data Engineer

Company Description Unison Group (Unison Consulting) is a boutique next-generation technology company based in Singapore, the hub of the financial industry. The organization focuses on liquidity risk, market risk, credit risk, and regulatory compliance for financial institutions. Unison delivers technology consulting and services across risk management systems, risk analytics, systems integration, business intelligence, information management, and custom IT development. The company leverages cutting-edge technologies and qualified professionals to help clients enhance monitoring, align risk appetite, meet regulatory demands, and drive growth through innovation. With a collaborative, energetic culture, Unison treats clients as partners and aims to exceed expectations on every project.

Responsibilities:

We are seeking a talented and experienced Data Engineer with expertise in Quantexa, Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa software .

Responsibilities :

• 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
• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch
• Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
• Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
• Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
• Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components
• 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
• Good to be Quantexa certified data engineer / data architect and proficient with the software.

Required Skills

• Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• Proficiency in Scala programming language and familiarity with functional programming concepts
• Experience with Quantexa tool is highly preferred.
• In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL
• 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 Graphana, Prometheus, Splunk will be an added benefit
• Experience integrating and working with Elasticsearch for data indexing and search applications
• Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization
• Experience with distributed computing, parallel processing, and working with large datasets
• Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries
• Strong problem-solving and analytical skills with the ability to debug and resolve complex issues
• Familiarity with version control systems (e.g., Git) and collaborative development workflows

If you have these skills and are interested in exploring opportunities in Singapore , please feel free to reach out to me:

📧 Email: [email protected]

📱 WhatsApp: +65 6991 2824