Quantexa Data Engineer

synechron; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Synechron is seeking an experienced Data Engineer to design, develop, and optimize big data solutions using Spark, Scala, and Elasticsearch. You will build scalable data pipelines, integrate with OCP, and collaborate with cross-functional teams to meet compliance needs in AML domains.

Ideal candidates have 2+ years in IT, strong Quantexa expertise, and proficiency with Hadoop/Spark ecosystems, with hands-on experience in DevOps practices and containerized deployments.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• Minimum 2 years' IT experience, preferably in a Compliance AML domain.
• Proficient with Quantexa software and certified as data engineer / data architect.
• Strong hands-on experience with Hadoop, Spark, and data processing technologies at scale.
• Fluent in Scala and familiar with functional programming concepts.
• Experience integrating and working with Elasticsearch for indexing and search.
• Knowledge of DevOps practices, CI/CD pipelines, and containerized deployments.

Responsibilities

• Implement data transformation, aggregation, and enrichment for analytics and ML initiatives.
• Collaborate with cross-functional teams to translate data requirements into engineering solutions.
• Design and develop Spark Scala applications and pipelines for large volumes of data.
• Integrate Elasticsearch with Spark for efficient indexing, querying, and retrieval.
• Optimize Spark jobs for performance and scalability; ensure data quality.
• Develop scalable and fault-tolerant Spark apps; follow coding standards.
• Monitor job performance, identify bottlenecks, and propose optimizations in Spark and Elasticsearch.
• Design and deploy data engineering solutions on OpenShift Platform (OCP) with containerization.
• Collaborate with DevOps to implement CI/CD and ensure platform stability.
• Document data engineering processes and configurations for knowledge sharing.

Skills

Hadoop

Spark

Scala

Elasticsearch

OpenShift

DevOps

Data pipelines

Python/Java

CI/CD

SQL

Kubernetes

Quantexa

Education

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

Tools

Quantexa

OpenShift Container Platform (OCP)

Docker

Jenkins

Bitbucket

Grafana/Prometheus

Splunk

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
• 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

Education and Experience

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
• At least 2 years' relevant IT experience, preferably in a Compliance Domain of a Finance Institution.

Essential

• Must be Quantexa certified data engineer / data architect and proficient with the software.
• You must be the experienced developer, with good experience in system integration/interfacing.
• You will typically be assigned to work on specific projects and is expected to support the Application Delivery Manager (ADM) in all relevant technical matters, end-to-end, within the project.
• Depending on the project, your duties may include coding, scripting, building new systems (where necessary) and interfaces. For new system build-up, you may need environment support during SIT/UAT.
• You are expected to ensure your work are adequately documented and transferred to the production team post-cutover.
• You will be expected to work with the senior developers and system architect in formulating technical solutions that is fit for purpose for your assigned projects. The solution will need to satisfy all security, regulatory and architectural standards.
• Must be Quantexa certified data engineer / data architect and proficient with the software.

Qualifications & Experience

• 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