Total 95 job vacancies by Technopals Consultants Pte. Ltd.

Responsibilities:

• Handling daily operations, incident management and reporting to customer
• Experience in .NET C# and MS SQL
• Supporting and leading minor Service Requests
• Interact with technical and business user team where required
• Work closely with the team members and 3rd Party vendors

Requirement:

• Minimum 3 years' experience in maintaining a system with the relevant skill sets in Annex A (refer below).
• Familiar with Batch & Online application design concepts & should have experience in handling large volume of data
• Proficient in Microsoft Azure App Development (Certified Azure Developer Associate preferred)
• Good understanding of Azure Serverless Architecture and Services
• .NET Core + Angular for Frontend SPA Development

Responsibilities:

• Design, develop, and maintain robust data pipelines and architectures.
• Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Mentor and guide junior engineers, providing technical leadership and support.
• Write and maintain detailed technical documentation for data processes and architecture.
• Participate in code reviews, providing constructive feedback and ensuring code quality

Requirement:

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
• Experience with multiple cloud platforms, specifically Azure and AWS.
• Bachelor’s degree in computer science, Engineering, or related field; master’s preferred
• Minimum 5 years of experience in a similar role

Responsibilities:

• Lead the strategic planning and execution of migration from existing to new Radio, AMS, and CBN systems within the rail project.
• Design and oversee the implementation of migration paths that minimize disruption to existing services and ensure continuity of operations.
• Collaborate closely with IT, network specialists, and other stakeholders to ensure a cohesive migration strategy that aligns with overall project goals.
• Develop detailed migration plans, including timelines, resource allocations, and risk assessments, to facilitate a smooth transition.
• Manage the configuration, testing, and commissioning of new systems while phasing out the old systems in a controlled manner.
• Provide expert guidance and troubleshooting during the migration phase, resolving technical challenges and ensuring system compatibility and performance.
• Conduct regular review meetings to monitor migration progress, addressing any issues promptly and adjusting strategies as necessary.
• Maintain strict adherence to industry standards and best practices in system migration and network upgrades.
• Lead, mentor, and support a team of engineers and technical staff through the migration process, promoting knowledge transfer and technical excellence.

Requirement:

• Bachelor’s or Master’s degree in Electrical Engineering, Communications Engineering, or a related technical field.
• Minimum of 10 years of experience in system migrations, particularly in designing, implementing, and managing transitions in Radio, AMS, and CBN systems within large-scale infrastructure projects.
• Proven track record of successful system migration in transportation or similar sectors.
• Strong leadership skills with experience in managing technical teams during complex migrations.
• Excellent problem-solving skills and the ability to make decisive actions under pressure.
• Exceptional communication and interpersonal skills, capable of effectively managing stakeholder expectations and leading diverse teams.
• Comprehensive understanding of the regulatory landscape and compliance requirements related to rail communication systems.
• Professional engineering certification or equivalent qualifications preferred.

Mandatory Skills

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 3 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiarity with data virtualization tool such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving.
• Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

Skillsets (Good to have)

Brief Job Description

• Support Central Data Service Layer (CDSL) project

Responsibilities:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyze, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Senior Data Engineer In this role, you can expect to: ● Support the business’s goal of democratisation of data and data products. ● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting. ● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliverbusiness outcomes. ● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads. ● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases. ● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases. ● Implement cloud-based scalable and reliable data pipelines at significant scale. ● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes. You should be able to: ● Build and maintain streaming and batch data pipelines. ● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts. ● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs. ● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products. ● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg. ● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports. ● Adhere and have practised Agile Methodology such as Scrum. ● Implement adhering to Master Data Management Best Practices and Principles. ● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling. It would be great if you had: ● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles. ● Experience in data-related infrastructure deployments using Terraform Cloud. ● Experience in using Git for version and release management with knowledge in branching strategies. ● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight. ● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight. ● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts. ● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

Your Role and Responsibilities
The Observability SRE will be responsible for designing, implementing, and maintaining observability systems for our software applications. The ideal candidate will have experience working with observability tools such as Elastic, Kafka, Grafana, and OpenTelemetry, and will be proficient in Java programming. Experience with Unix and AWS environments is also preferred.

Responsibilities:
• Design and implement observability systems for software applications
• Monitor and analyze system performance data
• Identify and troubleshoot performance issues
• Work with development teams to implement and enhance application performance monitoring/logging.
• Stay up-to-date on the latest observability tools and techniques

Required Technical and Professional Expertise
Qualifications:
• Bachelor's degree in computer science or a related field
• More than 4 years of experience working with observability tools
• Proficient in Java programming
• Experience with Unix and AWS environments
• Strong problem-solving and analytical skills
• Excellent communication and teamwork skills

Preferred Technical and Professional Expertise

Your Role and Responsibilities

• Develop and optimize continuous integration and continuous deployment pipelines to ensure rapid and reliable software delivery
• Implement and optimize monitoring tools to proactively detect and resolve performance issues, ensuring high availability and consistent system performance.
• Lead incident response strategies, including troubleshooting, root cause analysis and implementing preventive measures to avoid future occurrences
• Communicate effectively with stakeholders across teams within department and different departments to align DevOps strategies with business goals and ensure smooth project execution
• Continuous research and implement new technologies and methodologies to drive improvements in infrastructure deployment, scalability and the software development process

Required Technical and Professional Expertise

• 2 to 5+ years of hands-on experience in DevOps, software development or system operations.
• Proficient in scripting languages such as Python
• Extensive experience with CI/CD tools like Jenkins, GitLab CI
• Strong background in Linux/Unix Administration
• Expertise in using containerization & orchestration tools such as Docker, Kubernetes or OpenShift.
• Experience with infrastructure as code tools such as Terraform, Ansible or Puppet.
• Strong understanding of cloud services (AWS) and managing hybrid cloud environments

Mandatory Skills

We are looking for candidates who possess a robust understanding of RACF, rather than those primarily knowledgeable in MF application development. Our ideal candidate should demonstrate deep expertise in RACF and its related functionalities.

Responsibilities:

• Manage and drive z/OS Unix (Mainframe Access Management operations and audits).
• Lead the completion of z/OS initiatives such as MFA and straight through processing for IDM processing requests.
• Automate manual processes through scripting or via zSecure.
• Possess strong knowledge of designing and reviewing RACF access groupings.

Key Requirements:

• At least 8 years of experience working in a z/OS environment including experience with REXX, Assembler, COBOL, JCL, TSO/ISPF
• Install, configure, and upgrade z/OS and subsystems using SMP/E
• Monitoring system performance and perform system tuning
• Technical support for z/OS and subsystems including engagement of IBM and vendors for problem determination and resolution
• Experience with IBM z15 hardware and peripherals, able to perform hardware configuration changes using HCD/IODF
• Experience with system automation and scheduling tools such as IBM System Automation, Netview, IBM Tivoli Workload Scheduler(OPC).
• Familiarity and support of 3rd party software such as FileAid/Expediter, IBM Omegamon, RMF, ChangeMan
• Solid experience in mainframe security, RACF access controls, IBM zSecure, MFA
• Provide process automation support and maintain SOP documentation
• Support backup/recovery and disaster/recovery planning and testing
• Support periodic system configuration reviews and audit reviews
• Strong communication skills and the ability to work collaboratively in a team environment
• Experience with zLinux and zVM will be advantageous
• Bachelor’s degree in IT or equivalent. A major in IT security or related areas would be an added advantage.
• Minimum of 5 years of experience in Mainframe Security (RACF) administration/operations provided by z/OS UNIX system services (USS), CICS, DB2, and WebSphere MQ with hands-on regulatory compliance knowledge.
• Good to have strong experience with using zSecure Admin and zSecure Audit modules.
• Good working knowledge of Access Management lifecycle and processes.
• Experience in banking or financial services institutions preferred

Looking for a React.js senior developer with minimum 6 years experience in React.js and having good knowledge in JavaScript. Skill set required: Reactjs, HTML, CSS, Javascript.

Mandatory Skills

The Team:
Works with stakeholders across all pillars of the Global Financial Markets (GFM) Department to create proprietary algorithms and data science solutions for trading, marketing, customer personalization and process optimization.

We are seeking an MLOps Engineer who thrives in dynamic environments, possesses a strong foundation in engineering and systems design with a keen interest in building robust ML systems and pipelines in production.

Responsibilities:

• Design AI/ML pipelines and engineering infrastructure to support internal and external machine learning systems at scale.
• Develop pipelines for continuous operation, feedback and monitoring of ML models leveraging best practices from the CI/CD vertical within the MLOps domain. (inc. data drift, model retraining, setting up rollbacks)
• Deploy AI/ML models, optimizing algorithm and system efficiency through GPU distributed computing and concurrent programming.
• Create reusable libraries/ microservices, deploy machine learning ecosystems, and integrate subsystems as necessary.
• Stay updated with the latest trends and technologies in AI/ML, GenAI, MLOps and LLMOps to drive innovation and system enhancements.

Required Experience:

• Experience building scalable machine learning system architectures (microservice, distributed, etc.) and big-data pipelines in production.
• Knowledge in the operationalization of Data Science projects (MLOps) using at least one mainstream framework or platform.
• Deep understanding and application of various machine learning and evaluation concepts, their mathematical underpinnings, and trade-offs.
• Exceptional programming skills in Python (Or demonstrable ability to pick up new languages) and SQL variants, with knowledge of design patterns, code optimization, and object-oriented design.
• Familiarity with software development best practices and tools such as Agile methodologies, Jira, Jenkins, and Git.

Good to have:

• Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.
• Demonstrable expertise in econometrics, statistical modelling, time-series analysis, causal inference, and their applications to pricing and marketing domains.
• Hands-on experience in designing and executing digital experimentation and hypothesis testing, including A/B testing, bandit-based experiments, and multivariate analysis.
• Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.
• Prior experience / strong knowledge and understanding of the financial markets.

Mandatory Skills

Responsibilities:

• Manage and support eFX/Banking & Financial services applications.
• Work with ECNs and Liquidity Providers.
• Communicate effectively with business users.
• Work independently and proactively, demonstrating a 'can-do' mentality.
• Collaborate effectively as a strong team player.
• Perform under pressure to deliver excellent results.

Requirements:

• More than 5 years of Application Support Experience in eFX/Banking & Financial services.
• Experience with ECNs and Liquidity Providers.
• Proficiency with Oracle, MariaDB, KAFKA, OpenShift, MQ, CD, Jenkins, Bitbucket.
• Thorough understanding of Network and Firewall concepts.
• Familiarity with FIX Protocol.
• Proficiency in UNIX Shell/Perl Scripting.
• Knowledge of Java, HTML, and JavaScript.

Key Responsibilities:

• Manage AWS cloud infrastructure, including EC2, S3, RDS, and VPC, optimizing cloud resource utilization and cost efficiency.
• Oversee migration of on-premises storage to AWS cloud, assuring data integrity, minimal downtime, and seamless transition.
• Handle day-to-day administration of Storage and backup environments, SAN switch administration, tech refresh, upgrading and patching, monitoring for failures, generating reports using OpsCenter, and ensuring data integrity.
• Conduct storage device performance monitoring, storage sizing assessments, and integration of storage systems with various platforms.
• Expertise in VMware ESX servers, vMotion, HA, DRS.
• Windows Server administration, Active Directory, DNS, DHCP and Failover Cluster services management.

Requirements / Qualifications:

• Bachelor’s degree in Computer Science, IT, or a related field.
• At least 4 years of experience of related experience
• Must be Certified with either AWS Certified Cloud Practitioner or AWS Cloud Certified Solution Architect

Angular js engineer with minimum 4 years’ experience in Angular.js and 6+ years’ experience in JavaScript.

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 7-10 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus. Requirements

• Plan, design, install, test & implement systems in accordance to specifications & service level. Where relevant, perform the necessary system programming & configuration.
• Manage systems changes through established change request process & provide status reports to the relevant parties.
• Respond promptly to incident, investigate & provide temporary &/or permanent resolution of incidents escalated. Provide timely status updates to relevant parties.
• Conduct root cause analysis & implement pro-active measures. Monitor effectiveness of implemented measures.
• Monitor & measure the performance & availability of systems proactively; implement corrective actions identified to improve performance & availability.
• Monitor the agreed service level (.e.g. service request, system availability),document & maintain the configuration of the systems; provide regular reporting to relevant parties.
• Plan & implement service continuity measures, i.e., backup/restore procedures & disaster recovery plan, to ensure continuous operation of the business.
• Provide systems related technical advice to customers or project team.
• Ensure the management of ICT systems adhere to established ISO20000 and ISO27001 processes/ procedures, ITIL best practices and methodologies where applicable. (check with t)he rest of eng.
• Manage budget, resources and schedule for system implementation /operation activities
• Established facility management standards/best practices to ensure operation consistency across project/facility management teams

Requirements / Qualifications:

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• At least 5 to 6 years of related experience
• Must have Skill: Red Hat Enterprise Linux (RHEL).