Total 15 job vacancies by Nearsource Pte. Ltd.

• Strong hands‑on experience with the ETL(Informatica Power Center) and Teradata based ETL development, similarly Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink etc.,), and data pipeline orchestration.
• Create EDW ETL/ELT codes using Teradata SQL, Informatica, apache Spark, QueryGrid, Trino to perform various transformation and load into Teradata based data warehouse or datamarts
• Performance tuning of highly complex applications to reduce resource usage
• Create framework using GCFR, shell scripts, BTEQ and shell scripts to automate end to end. Also to integrate with control
• Build in-house CDC framework using Java to process OLR logs from SAP(Oracle) and ingestion the data into Teradata. Create framework around this CDC ingestion to make it configurable
• Install and build Master Data Management(MDM) application for various user uploads along with data validations and approval workflow

• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn, XGBoost), including model deployment.
• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop full‑stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

• Analyze business and regulatory requirements and translate them into scalable solution designs.
• Perform detailed effort estimation for projects and change requests.
• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
• Review and approve test strategies, functional test cases, and data validation approaches.
• Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms.
• Experience translating business and compliance requirements into NLP‑enabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
• Ability to translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

• Serve as the technical SME for file-transfer and message-stream solutions (e.g., IBM Connect Direct, IBM MQ).

• Provide expertise in troubleshooting and performing root cause analysis.

• Implement and deploy middleware on Linux and Windows systems.

• Ensure the implementation of service continuity measures, including high-availability (HA) procedures and Disaster Recovery plans.
Education:

• Bachelor’s degree in computer science or related field.

• At least 6 years’ relevant experience preferably in a Finance Institution.

Essential:

• Build a seamless File-Transfer-as-a-Service and Message-Streaming capability on the Private Cloud platform.

• Automate middleware deployment processes.

• Participate in projects and provide middleware support to application teams.

Key Requirements

• IBM Connect Direct and IBM MQ

• Linux and Windows system administration

• Windows PowerShell

and RHEL shell scripting

Good to have

• Kafka

• CI/CD pipelines

• Bitbucket

• Jenkins

• Investigate production issues, respond based on production defect severity SLAs

• Manage and respond to users on timely manner.

• Log incident ticket for production issues and user queries

• Follow up on defect and incident closure and meet incident closure KPI

• Make sure system availability as per respective agreed SLA

• Ensure daily start of day(SOD) and end of day(EOD) execution for supported applications complete successfully

• Provide support for annual Disaster Recovery (DR) exercise for supported applications

• Provide support to System Engineers on server level patches / upgrade as and when applicable

• Knowledge with 3rd party monitoring tools like Control-M, Geneos, Splunk, SQL Monitor

• Knowledge with Market Data, and Geneos monitoring setup and dashboard configuration

• Ensure application incident & task documentation is properly updated for each production release

• Enthusiastic, hardworking, proactive and goal-oriented, with excellent communication and presentation skills, demonstrated professionalism and attention to detail

• Proven ability to work and resolve production incidents under strict time constraints and provide workarounds using AS400/mainframe or unix shell or DB scripts etc

• Strong skills in AS400, Linux/Unix Shell scripting, MS SQL, Oracle, BMC Control-M Scheduler

• Good to have understanding and experience of ITIL methodology [service operation]
Education:

• Bachelors’ Degree in Computer Science or related field.

Essential:

• Prior hand-on production support experience of OPEN Systems/AS4000

• Good support knowledge in either one of the retail or wholesale payment or customer information systems

• Willing to work in onsite shift-support model [24*7]

• Hands-on experience in writing AS400 and SQL queries and parsing logs for issue investigation

• Hands-on experience in writing shell scripts (UNIX) and optimize incidents investigation

• Strong written, oral communication skills and able to manage user

• Ability to easily adopt to any technology / environment

• 2 or more years’ production support experience in bank or financial vendors across multiple technologies / platform

• Be able to work in fast pace and high-pressure working environment

Willingness to work across platforms – UNIX / open, AS/400 and mainframe

• SQL, AS400, Control-M, Mainframe

• Unix, Shell Script, Geneos, Splunk

1. Manage and execute SIT, UAT and Production deployments for Customer Mgmt and Credit Origination applications across countries

2. Perform infrastructure setup, configuration, and validation for testing and production environments.

3. Provide support for maintenance activities including upgrades, patch management, and capacity enhancements for Customer Mgmt and Credit Origination applications across countries.

4. Troubleshoot and resolve issues encountered during SIT and UAT testing phases.

5. Maintain and enhance the testing environment by developing and managing automated monitoring scripts and tools.

6. Support and troubleshoot SIT/UAT deployments leveraging DevOps pipelines and Aldon tools.

7. Collaborate with application development, QA, and infrastructure teams to ensure seamless deployment processes.

8. Document deployment processes, troubleshooting steps, and environment configurations for knowledge sharing and continuous improvement.

9. Ensure adherence to deployment schedules and minimize downtime during production rollouts.

10. Identify areas for process improvement and automation within the deployment and testing lifecycle.

11. Provide on-call support during critical deployment windows and address post-deployment validation issues

12. Ensure compliance with security standards, policies and audit requirements during all deployment and environment setup activities.
Required Skills:

1. Strong hands-on experience in Unix/Linux system administration, including installation and configuration and troubleshooting of JBoss AppServer, JBoss WebServer and Apache.

2. Hands-on experience in setting up SSL encryption, JBoss Vault, Oracle wallet and related security setups

3. Solid understanding of automation and Continuous Integration/Continuous Deployment (CI/CD) pipelines, with hands on experience in tools such as Jenkins, Aldon, Ansible, and container management technologies

4. Proficient in scripting with UNIX Shell Scripting and Groovy for automation and operational support.

5. Experience with environment management, infrastructure provisioning, and deployment processes.

6. Experience in Release Management, including planning, coordination and execution of release activities.

7. Demonstrated leadership and collaboration skills, with experience in leading or mentoring technical terms.

8. Working experience with middleware technologies such as IBM MQ, Connect:Direct, FTP/SFTP; familiarity with Oracle Databases operations is a plus.

9. Good understanding of networking concepts, protocols, and troubleshooting.

10. Prior working experience in banking or financial services environments is highly preferred.

11. Strong work ethic with a proactive, ownership-driven approach.

12. Ability to perform effectively in a fast-paced, demanding and dynamic environment.

13. Willingness to take on new responsibilities and broaden skill sets as needed.

JBoss/ Unix/Linux/Oracle, Dynamics CRM, Continuous Integration/Continuous Deployment (CI/CD)

Good to Have skills:

1. Experience in Windows Server installation, configuration, and troubleshooting (including Dynamics CRM environments).

2. Knowledge and understanding of databases, load balancers and networking infrastructure.

3. Strong documentation skills for system configurations, processes and operational

Requirement :-

Must-to-Have:

• 2–6 years of relevant experience in software/data engineering
• Proficiency in Scala/Java and Python
• Strong communication skills with good command of English
• Solid experience with ETL processes, including the Spark Suite (PySpark)
• Hands-on experience with the Hadoop stack (Hadoop, Hive, HDPS)
• Ability to design and develop Data APIs
• Experience with Operational Data Stores (ODS), Master Data Management (MDM), and data modelling
• Proven experience in building data frameworks and data architectures

Nice-to-Have:

• Experience in data warehousing, data lakes, and data management, including data processing and optimisation
• Intermediate knowledge of Artificial Intelligence (AI) and basic Data Science concepts
• Experience in BI tools, e.g., Tableau dashboard development and reporting

Requirement :-

• 3 to 5 years of relevant industry experience
• Strong proficiency in Python programming and scripting
• Good hands-on experience with SQL, including query optimization
• Solid working knowledge of Linux/Unix environments
• Hands-on experience in application development and production support
• Ability to debug issues and perform root cause analysis
• Experience working with version control tools (e.g., Git)
• Familiarity with REST APIs and basic web services
• Understanding of software development life cycle (SDLC) and agile methodologies
• Good communication skills and ability to work with cross-functional teams
• Willingness to handle support activities and meet tight deadlines

Education:

• Bachelors’ Degree in Computer Science or related field.
• At least 6 years’ relevant experience preferably in a Finance Institution.

Essential:

• You must be the experienced developer and or fix on fail/before fail, with good experience in system interfacing.

• You will be working both in a team and independently troubleshooting and continuous improvement of the application environment
• Work closely with the Production Support and Application Development teams in understanding addressing reported issues.
• Your duties include troubleshooting, coding / scripting issues reported or proactively remediate before the issues impact production and work with uses in performing UAT.
• Work will also involve supporting planned production deployment over the weekend or weekdays, in case of urgent cases
• 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.
• Developing and deploying using Informatica is a must
• Axway experience will be a plus
• Oracle, SQL,
• Red Hat Linux, Shell Script, IBM MQ, IBM Connect Direct
• Java
• Experience troubleshooting and fixing issues

Responsibilities:

• Build, enhance, and maintain multiple processes, systems and APIs.

• Work on new initiatives and projects.

• Provide technical support to business users of above systems.

• Ability to effectively communicate and collaborate with development and business team.

• Willingness to learn and work on different technologies and tools.

. Qualifications

• Bachelor’s degree in computer science or equivalent.

• Overall 4+ years of experience working in software development.

• Experience working with Microsoft SQL Server.

• Experience working with python.

• Experience developing and working with REST APIs.

• Willingness to learn modern development practices, frameworks, and patterns.

• Working knowledge of Object-Oriented Programming.

• Strong communication skills.

• Self-starter and quick learner.

• Excellent analytical and problem-solving skills.

• Ability to multi-task and thrive in fast paced, rapidly changing and complex environment.

• Flexible and willing to work in 11/12 to 8/9 pm timings.

Good to have:

• Familiarity with docker and Kubernetes.

• Experience with python visualization libraries.

• Basic familiarity with development methods and processes such as Agile Scrum.

Strong hands-on experience in Unix/Linux system administration, including installation and configuration and troubleshooting of JBoss AppServer, JBoss WebServer and Apache.

Hands-on experience in setting up SSL encryption, JBoss Vault, Oracle wallet and related security setups

Solid understanding of automation and Continuous Integration/Continuous Deployment (CI/CD) pipelines, with hands on experience in tools such as Jenkins, Aldon, Ansible, and container management technologies

Proficient in scripting with UNIX Shell Scripting and Groovy for automation and operational support.

Experience with environment management, infrastructure provisioning, and deployment processes.

Experience in Release Management, including planning, coordination and execution of release activities.

Demonstrated leadership and collaboration skills, with experience in leading or mentoring technical terms.

Working experience with middleware technologies such as IBM MQ, Connect:Direct, FTP/SFTP; familiarity with Oracle Databases operations is a plus.

Good understanding of networking concepts, protocols, and troubleshooting.

Key Responsibilities:

• Design and develop scalable data pipelines across Hadoop (Hive, Impala, Spark, Kafka, Iceberg) and Teradata environments.
• Build ingestion and transformation frameworks using Java, Spark, Python and shell scripts.
• Develop full stack applications and internal tools using Python, Shell scripting, and modern web frameworks (e.g., Flask, React).
• Create APIs and microservices to expose data and ML models securely to downstream systems and user interfaces.
• Collaborate with data scientists to operationalize ML models using Cloudera Machine Learning (CML)
• Build and deploy GenAI/LLM-powered applications for intelligent data interaction, summarization, and automation.
• Implement enterprise-grade security controls including RBAC, LDAP, Kerberos, Apache Ranger, and row-level access.
• Tune and optimize data applications for performance across Hadoop and Teradata, ensuring efficient resource utilization.
• Support sandbox environments for prototyping, enabling users to build ML models, dashboards, and data pipelines.

Required Skills & Experience:

• Data Engineering: Strong experience with Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas), Teradata and data pipeline orchestration.
• Full Stack Development: Proficiency in Python, Shell scripting, REST APIs, and web frameworks (Flask, React, etc.).
• Machine Learning & AI: Hands-on experience with ML platforms (CML), Spark MLlib, Python ML libraries (scikit-learn, XGBoost), and model deployment.
• GenAI/LLM Applications: Familiarity with building applications using large language models (e.g., OpenAI, Hugging Face, LangChain) for enterprise use cases.
• Security & Governance: Experience with enterprise data security (LDAP, Kerberos, RBAC), data masking, and access control.
• Performance Tuning: Proven ability to optimize data applications and queries in large-scale environments (Hadoop, Teradata).
• Tools & Platforms: Cloudera Data Platform (CDP), Informatica, QlikSense, Apache Oozie, Git, CI/CD pipelines.
• Soft Skills: Strong analytical and problem-solving skills, excellent communication, and ability to work in cross-functional teams.

Role Description

We are seeking a talented Data Engineer to join our team in Singapore. The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines, as well as managing ETL processes for collecting, processing, and analyzing large datasets. Daily tasks include developing and maintaining data models and data warehouse architectures, performing data integration, and implementing workflows to support analytics and reporting needs. Collaboration with cross-functional teams to ensure efficient data solutions is a key component of this role.

Qualifications

·                   Proficiency in Data Engineering and Data Modeling to design and implement efficient solutions.

·                   Experience in Extract, Transform, Load (ETL) processes and Data Warehousing for robust data management.

·                   Strong skills in Data Analytics to analyze, interpret, and drive insights from large datasets.

·                   Familiarity with cloud environments and tools such as Azure or AWS is highly desirable.

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

·                   Excellent problem-solving skills and the ability to collaborate effectively with cross-functional teams.

·                   Experience in Big Data technologies or Master Data Management is a plus.

Role Description

We are seeking a talented Data Engineer to join our team in Singapore. The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines, as well as managing ETL processes for collecting, processing, and analyzing large datasets. Daily tasks include developing and maintaining data models and data warehouse architectures, performing data integration, and implementing workflows to support analytics and reporting needs. Collaboration with cross-functional teams to ensure efficient data solutions is a key component of this role.

Qualifications

·                   Proficiency in Data Engineering and Data Modeling to design and implement efficient solutions.

·                   Experience in Extract, Transform, Load (ETL) processes and Data Warehousing for robust data management.

·                   Strong skills in Data Analytics to analyze, interpret, and drive insights from large datasets.

·                   Familiarity with cloud environments and tools such as Azure or AWS is highly desirable.

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

·                   Excellent problem-solving skills and the ability to collaborate effectively with cross-functional teams.

·                   Experience in Big Data technologies or Master Data Management is a plus.

We are looking for a Lead Engineer to drive the design, development, and technical leadership of our Wealth Management platform. This role combines hands-on engineering, system architecture, and team leadership, working closely with product, business stakeholders, and vendors to deliver scalable and secure digital wealth solutions.

You will play a key role in shaping the platform architecture, mentoring engineers, and ensuring high-quality software delivery aligned with our digital strategy.

Key Responsibilities

Engineering & Development

• Lead development of the end-to-end Wealth Management platform, including digital channels and back-office systems
• Design, build, and maintain APIs and platform integrations
• Ensure high-quality code through automated testing, code reviews, and engineering best practices
• Own development of high-risk or complex technical components

Architecture & Technical Design

• Define technical architecture and low-level system design
• Ensure solutions meet scalability, performance, availability, and security requirements
• Work with engineering teams to implement modern architecture patterns and best practices

Team Leadership

• Mentor and guide senior and junior engineers
• Provide technical direction and ensure coding standards and design principles are followed
• Foster a culture of continuous improvement and engineering excellence

Delivery & Collaboration

• Work closely with Product Owners, business stakeholders, and vendors
• Manage technical scope across sprints and releases
• Identify and manage technical dependencies and technical debt

Platform Operations

• Support incident management and root cause analysis
• Ensure monitoring, logging, and operational readiness for production systems
• Address security vulnerabilities and platform stability issues

Requirements

Experience

• 5+ years of software engineering experience
• Strong experience building API-driven platforms
• Experience with:
• Java frameworks
• Node.js / NestJS
• React (frontend exposure)
• Experience with AWS cloud services and Infrastructure as Code
• Experience working with containerized environments
• Experience leading engineering teams (10+ engineers preferred)
• Experience working with vendors or external partners

Domain Knowledge

Experience in wealth or asset management systems is highly preferred, including:

• Portfolio management platforms
• Fund management and NAV processes
• Subscription / redemption flows
• Financial instruments (equities, bonds, ETFs, mutual funds)
• Market data integrations
• Regulatory awareness (MAS, AML/KYC)

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, or related discipline.

What We’re Looking For

• Strong hands-on engineering mindset
• Ability to design scalable and secure financial platforms
• Excellent problem-solving and communication skills
• Passion for mentoring engineers and improving engineering practices