Quantexa Data Engineer

Synechron; Singapore; On-site; SGD 60,000 - 120,000; Full time

Job summary

Synechron is seeking a Data Engineer with expertise in Hadoop, Spark, Scala, Elasticsearch, and OpenShift to design and optimize big data solutions. You will collaborate with cross‑functional teams to build scalable data processing pipelines and search applications, with an emphasis on data governance and compliance in a finance context.

Experience with Quantexa software is a must, and DevOps practices including CI/CD will be leveraged to deliver robust data infrastructure.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
• Proficiency with Hadoop, Spark, Scala, Elasticsearch, OpenShift, and Quantexa is required.

Responsibilities

• Design and implement data transformation, aggregation, and enrichment pipelines.
• Develop Spark Scala applications and data processing workflows.
• Integrate Elasticsearch with Spark for indexing, search, and retrieval.
• Tune Spark jobs for performance and scalability; ensure data quality.

Skills

Hadoop

Spark

Scala

Elasticsearch

OpenShift

DevOps

Education

Bachelor’s or Master’s degree in CS/Software Eng

Tools

Quantexa

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

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 to 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.

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 Excellent communication and teamwork skills with the ability to work effectively in cross‑functional team Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

SYNECHRON’S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry‑leading digital solutions. Synechron’s progressive technologies and optimization strategies span end‑to‑end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile‑first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. For more information on the company, please visit our website or LinkedIn community. At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices.