Total 18 job vacancies by Shell Infotech Pte. Ltd.

• Experience Requirements:
• Must have QA/Testing Experience.
• Data Testing Experience specifically in Big Data, Hadoop, or Cloud Data Warehouse environments.
• Databricks Experience of testing pipelines within a Databricks environment.
• Automation Focus: Proven track record of moving from manual SQL checks to automated Python-based testing frameworks.
• Mandatory: Databricks Certified Data Engineer Associate (at minimum).
• Preferred: ISTQB Foundation or Advanced Level (Test Automation Engineer).
• Core Technical Skills:
• Data Validation & Frameworks
• Great Expectations / Pandera: Proficiency in using Python-based libraries to define data "contracts" and automated validation suites.
• DLT Expectations: Deep understanding of Delta Live Tables (DLT) expectations (Fail, Drop, Quarantining bad records).
• Advanced SQL: Expert-level SQL for complex data reconciliation, identifying duplicates, and null-value analysis across billions of records.
• Python for QA (PySpark):
• Pytest-Spark: Experience using pytest to write unit tests for PySpark transformations and logic.
• Notebook Testing: Ability to write automated test notebooks that validate Medallion Architecture transitions (Bronze to Silver, Silver to Gold).
• Data Reconciliation: Building Python scripts to perform "source-to-target" counts and checksums across distributed file systems.
• Performance & Integration Testing:
• Scalability Testing: Ability to validate that data pipelines meet performance SLAs when data volume spikes.
• End-to-End Orchestration Testing: Testing the reliability of Databricks Workflows and handling of job failures/retries.
• Schema Evolution: Testing how pipelines handle upstream schema changes without breaking downstream Gold tables.
• Governance & Security Testing:
• Unity Catalog Validation: Testing Row-Level Security (RLS) and Column-Level Masking to ensure unauthorized users cannot see sensitive data.
• Data Lineage: Validating that data lineage in Unity Catalog correctly reflects the movement of data across the Lakehouse.

• Must have both frontend and backend experience.
• Design, develop, test, and maintain high-performance backend services and APIs using Java and the Spring Boot framework.
• Build responsive, accessible, and efficient user interfaces with modern JavaScript/TypeScript and associated tooling.
• Write clean, efficient, and well-documented code, adhering to established design patterns and SOLID principles.
• Participate in code reviews, providing constructive feedback to maintain code quality and share knowledge.
• Contribute to architectural discussions and decisions regarding system design, API contracts, and scalability.
• Required Technical Skills-
• Backend Development:
• Strong proficiency in Java with a deep understanding of its core concepts and ecosystem.
• Expert-level knowledge of the Spring Boot framework (Spring MVC, Spring Data, Spring Security, Spring Cloud).
• Solid understanding of microservices architecture patterns and associated best practices.
• Experience with SQL optimization, query tuning, and database performance.
• Strong knowledge of RESTful API design principles and implementation.
• Experience with message queues/streaming platforms (e.g., Apache Kafka, IBM MQ, RabbitMQ).
• Frontend Development:
• Proficiency in modern JavaScript; experience with TypeScript is a strong plus.
• Knowledge of frontend performance optimization techniques (code splitting, lazy loading, memorization).

• Develop robust CI/CD pipelines using GitHub Actions or Azure DevOps to automate the promotion of data artifacts.
• Collaborate with security teams to ensure the Lakehouse architecture meets strict financial compliance standards.
• Monitor and report on cloud spend, proactively right-sizing compute resources to reduce infrastructure costs.
• Must have experience in DevOps, Cloud Engineering, or Cloud Architecture roles.
• Design, implement, and manage scalable cloud infrastructure solutions on major cloud platforms (AWS).
• Strong hands-on experience with at least one major cloud platform (AWS, Azure, or GCP).
• Proven experience provisioning and managing Databricks workspaces.
• Expert-level knowledge of CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps, GitHub Actions, CircleCI).
• Strong proficiency in Infrastructure as Code (Terraform, CloudFormation, ARM Templates, Ansible, or similar).
• Experience with containerisation and orchestration (Docker, Kubernetes).
• Proficiency in scripting languages (Python, Bash, PowerShell, or similar).
• Understanding of networking, security, and compliance in cloud environments.

• Design, develop, test, and maintain applications on AS400 / IBM i platform.
• Develop and enhance programs using COBOL/400, CL, and DB2.
• Support Core Banking, Payments, Wealth Management, Insurance, and Mortgage applications.
• Own end-to-end delivery including development, testing, deployment, and production support.
• Collaborate with business, operations, and technology stakeholders to deliver solutions.
• Perform impact analysis, effort estimation, and technical design documentation.
• Manage production issues, root cause analysis, and resolution.
• Work in multi-country, multi-team environments supporting global banking platforms.
• Ensure compliance with regulatory and security standards.
• Participate in system optimization, performance tuning, and platform modernization initiatives.
• Support release management and change management processes.

• Support CISD projects and enhancements.
• Possess a degree in Computer Science, Information Technology, or related field.
• Mush have hands-on software development experience in Java/Kotlin.
• Good written and verbal communication skills.
• Agile, fast learner and able to adapt to changes.
• Experience in TypeScript, React, C#, MSSQL will be an advantage.

• Job Description
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns.
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization.
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration.
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration.
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or Lakehouse architectures.
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques.
• Python: Strong Python programming skills for data processing and automation.
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Requirements:
• Must have experience in data engineering or related roles
• Hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional
• Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications.

• The ideal candidate will have a strong background in maintaining and optimizing large-scale monitoring and logging systems.
• Must be with specific expertise in Elastic Stack (Elasticsearch, Kibana, Logstash, Beats), Apache Kafka, and Grafana.
• As an SRE, they will play a crucial role in ensuring the reliability, scalability, and performance of our production systems by designing, implementing, and managing robust observability solutions.

• Understand the product roadmap and ensure that testing is conducted as per the QA process.
• Work closely with the test lead to devise test strategies for the applications/projects assigned. Ensure that the test strategy is implemented as per plan.
• Adhere to the QA process, frameworks, principles, and guidelines always.
• Have good knowledge and hands on experience of agile testing methodology.
• Ensure that to Sprint/Project timelines are met and any deviations are resolved with the scrum master or reported to the test lead for resolution.
• Ensure that all deliverables including but not limited to feature files/test cases, test results, automated test scripts, automated regression test results etc., are submitted timely and reviewed by the test lead.
• Ensure that all domain, application, functional and technical issues are duly to the test lead for necessary advice, resolution, and support.
• Regularly attend all scrum ceremonies - daily stand up, sprint planning, retrospectives for assigned application/project.
• Ensure that realistic estimates are provided during Sprint Planning.
• Ensure that all test artifacts are uploaded to Zephyr/Test Management Tool and Teams in adherence to the QA guidelines.
• Share EOD status and sign off requests in the standard formats for test lead approval.
• Ensure that all QA KPIs are met, and regular evaluation is conducted with the test lead to ensure that the squad is on track.
• Constantly ideate and come up with innovative solutions to improve the effectiveness & efficiency of QA capabilities.
• Work closely with the test lead to implement new solutions and recommend improvements to the existing processes and frameworks based on regular feedback gathered from the team and from own experience.

• Understand the product roadmap and ensure that testing is conducted as per the QA process.
• Work closely with the test lead to devise test strategies for the applications/projects assigned. Ensure that the test strategy is implemented as per plan.
• Adhere to the QA process, frameworks, principles, and guidelines always
• Have good knowledge and hands on experience of agile testing methodology.
• Ensure that to Sprint/Project timelines are met and any deviations are resolved with the scrum master or reported to the test lead for resolution.
• Ensure that all deliverables including but not limited to feature files/test cases, test results, automated test scripts, automated regression test results etc., are submitted timely and reviewed by the test lead.
• Ensure that all domain, application, functional and technical issues are duly to the test lead for necessary advice, resolution, and support.
• Regularly attend all scrum ceremonies - daily stand up, sprint planning, retrospectives for assigned application/project.
• Ensure that realistic estimates are provided during Sprint Planning.
• Ensure that all test artifacts are uploaded to Zephyr/Test Management Tool and Teams in adherence to the QA guidelines.
• Share EOD status and sign off requests in the standard formats for test lead approval.
• Ensure that all QA KPIs are met, and regular evaluation is conducted with the test lead to ensure that the squad is on track.
• Constantly ideate and come up with innovative solutions to improve the effectiveness & efficiency of QA capabilities.
• Work closely with the test lead to implement new solutions and recommend improvements to the existing processes and frameworks based on regular feedback gathered from the team and from own experience.

• The ideal candidate will have a strong background in maintaining and optimizing large-scale monitoring and logging systems.
• Must be with specific expertise in Elastic Stack (Elasticsearch, Kibana, Logstash, Beats), Apache Kafka, and Grafana.
• As an SRE, they will play a crucial role in ensuring the reliability, scalability, and performance of our production systems by designing, implementing, and managing robust observability solutions.

• Overseeing overall IT function.
• Developed an IT strategy and roadmap to facilitate the use of digital technologies within the organization to enable the smooth launch of business in all countries
• Implemented POS, ERP, Mobile App with Loyalty CRM, Mobile ordering within 6 months, including selection of the tool, internal approvals on business case, finalization of vendor, and project implementation as per business expectations.
• Further implementations include Power BI Analytics, Kiosk ordering, third-party delivery integration with Grab, Food panda and Deliveroo.
• Responsible for 30% Loyal customer base with 120k Mobile App downloads.
• Overall, digital business contributes more than 60%
• Deployed end-to-end AI automation for customer service, achieving 80% reduction in support costs and enhanced review scores.

Responsibilities:

SAS Platform Administration

• Lead installation, configuration, and maintenance of SAS 9.4 environments across development, test, and production tiers.

• Manage user access, metadata, security configurations, and environment optimization.

• Oversee upgrades, migrations, patch cycles, and infrastructure enhancements.

• Ensure platform stability, performance, and high availability through proactive monitoring.

Environment Setup & Deployment

• Lead end to end setup of new SAS environments for new applications, markets, or business units.

• Configure authentication, user provisioning, and secure access methods.

• Develop user documentation, onboarding guides, and conduct training sessions.

System Integration & Connectivity

• Enable and validate SAS connectivity with databases, file transfer systems, and external platforms.

• Configure secure data exchange mechanisms such as file transfer channels and integration protocols.

• Troubleshoot connectivity and data movement issues across environments.

SAS Development & Automation

• Develop SAS programs, macros, and automation utilities to improve operational efficiency.

• Build and support ETL workflows, reporting processes, and data pipelines.

• Conduct performance tuning of SAS code and platform components.

• Troubleshoot complex data processing and batch job issues.

Upgrades, Migrations & Tech Refresh Support

• Manage OS, SAS version, and supporting tool upgrades.

• Perform parallel testing, issue resolution, and post migration stabilization.

Operational Support & Platform Governance

• Support daily operations including job monitoring, issue resolution, and user requests.

• Maintain compliance with security, audit, and regulatory requirements.

• Implement SSL renewals, certificate management, and platform vulnerability remediation.

• Create and maintain platform health dashboards, reports, and logs.

Automation & Continuous Improvement

• Build tools to automate user onboarding, configuration tasks, and administrative workflows.

• Improve monitoring capabilities through automated reporting and system utilization analysis.

• Implement best practices to enhance operational efficiency and reduce manual effort.

Stakeholder Management

• Collaborate with IT infrastructure teams, application teams, and business stakeholders.

• Provide technical guidance on SAS related requirements and solution design.

• Act as a subject matter expert for SAS platform capabilities and integrations.

Requirements: Required Technical Skills

· Experience with SAS Administration and SAS programming.

· Strong expertise with SAS 9.4 components such as Metadata Server, Application Server, Web Server, and Compute Server.

· Proficiency in SAS Base, MACRO programming, SQL, and ETL development.

· Experience with Batch/Linux/UNIX systems and shell scripting.

· Understanding of authentication systems, file transfer technologies, and enterprise data platforms.

· Strong problem solving and performance tuning abilities.

Soft Skills

· Ability to work independently and lead complex technical initiatives.

· Strong communication and collaboration skills.

· Excellent analytical thinking and documentation capabilities.

· Ability to work effectively under time sensitive and high pressure conditions.

Preferred Qualifications

· SAS Administration or SAS Programming certifications.

· Experience in large enterprises or regulated industries.

· Exposure to automation tools and system level scripting.

Key Domain/ Technical Skills:

· SAS 9.4 components such as Metadata Server, Application Server, Web Server, and Compute Server

· SAS Base, MACRO programming, SQL, and ETL development

· Batch/Linux/UNIX systems and shell scripting

Job Description
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or Lakehouse architectures
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques
• Python: Strong Python programming skills for data processing and automation
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)

Requirements
• Must have experience in data engineering or related roles
• Hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional

Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications

• Business Analyst experience in AML Domain(e.g. Name Screening/CDD/Transaction Monitoring)
• 10 or more years of banking experience
• Work with business stakeholders to gather business requirements
• Requirements analysis and elicitation
• Collaborate with business unit specialist to elicit and review business requirements
• Analyse and document the "to be "business and operations processes based on the agreed requirements and /or function points, perform impact assessment
• Responsible to analyse and define detailed functional and non-functional requirements based on business and migration requirements
• Monitor and manage risks /issues related to requirements and scope creep
• Write business functional release notes and contribute to deployment plan
• Document the detailed requirements in line with bank standards
• Understand existing technology landscape at bank with a view to delivering seamless integration
• Ability to think out-of-the-box, engage with stakeholders to streamline system and operational processing
• Work with various operational teams to establish new procedures as needful
• Work with the system analyst and architects to ensure full understanding of BRD is conveyed
• Perform requirement traceability matrix
• Review and confirmed list of capabilities against BRD
• Provide scopes/assumptions for IT management approval deck preparation
• Manage the change process within the analysis phase
• Review and signoff functional specs prepared by various system analyst
• Review test cases with System Integration Test (“SIT”) testers
• Provide support for SIT/User Acceptance Test (“UAT”)

• Scope the system / regulation / policy / process: Work closely together with the Product Owner and other squad members, to ensure right granularity of requirements specification on an epic / story level.
• Translate business needs: Create models, diagrams, presentations and other documentations that support the target audience to understand the business requirements.
• Facilitate communication at team level to create consensus on scope, design decisions, and implementation decisions.
• Validate requirements, UAT Testing & User Training (if required): you will validate e2e requirements via reviews, walkthroughs, and demo. You will also be key actor in writing & conducting UAT test cases and, in case required, train non-squads stakeholders.
• Proactively Identify risks / issues that might affect squad’s overall health, ensure post go live follow up with all relevant Business and IT Teams.
• Ensure the good relationship and maintain strong momentum from all contributors.
• Build expertise in a few areas and share this acquired knowledge across the Team.