Quantexa Data Engineer

Hong Kong Unison Limited; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Unison Consulting in Singapore is seeking a talented Data Engineer with deep expertise in Hadoop, Spark and Elasticsearch to design and optimize big data solutions. You will build scalable data processing pipelines using Spark and Scala and integrate Elasticsearch for powerful search capabilities, while collaborating with cross-functional teams in a regulated domain.

Candidates should bring hands-on experience with OpenShift Container Platform (OCP), Docker, and DevOps practices to ensure

Qualifications

• Proven experience as a Data Engineer in large-scale environments.
• Experience with Hadoop, Spark, and data processing technologies.
• Proficiency in Scala and Spark SQL.
• Experience with Elasticsearch integration and data modeling.
• Knowledge of DevOps practices and containerization (OpenShift, Kubernetes).

Responsibilities

• Implement data transformation, aggregation, and enrichment pipelines.
• Design Spark Scala applications and data processing workflows.
• Integrate Elasticsearch with Spark for indexing and search.
• Tune Spark jobs for performance and scalability.
• Monitor job performance and data quality across pipelines.

Skills

Hadoop

Apache Spark

Scala

Elasticsearch

DevOps

OpenShift

Kubernetes

Quantexa

Data pipelines

CI/CD

Job description

We are seeking a talented and experienced Data Engineer with expertise in 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 is a must.

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

Requirements

• Good to be Quantexa certified data engineer / data architect and proficient with the software.
• 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

Unison Consulting established in the year 2012 in Singapore. We provide technology consulting, systems implementation, and integrations service to Asia Pacific customers. We help transform enterprise data in actionable insights. Our consultants have wide range of functional expertise within Banking and Financial services spectrum, working closely with clients to anticipate, illuminate and overcome complex business challenges.

Our objective is to be a one-stop solution provider all enterprise business intelligence and data warehousing needs of organizations.

Our mission is to consistently deliver our services to our clients in a cost-effective way without compromising the quality.

Our current clients include - DBS, OCBC, Standard Chartered Bank and Maybank.

Unison Consulting established in the year 2012 in Singapore. We provide technology consulting, systems implementation, and integrations service to Asia Pacific customers. We help transform enterprise data in actionable insights. Our consultants have wide range of functional expertise within Banking and Financial services spectrum, working closely with clients to anticipate, illuminate and overcome complex business challenges.

Our objective is to be a one-stop solution provider all enterprise business intelligence and data warehousing needs of organizations.

Our mission is to consistently deliver our services to our clients in a cost-effective way without compromising the quality.

Our current clients include - DBS, OCBC, Standard Chartered Bank and Maybank.