Mid-level Technical Analyst supporting Digital team in developing web, mobile, chat, and voice solutions.
Responsibilities
Assume leadership of collaboration with product ownership to translate business needs into the technical system requirements of the product.
Proactively identify requirement gaps and issue to product ownership.
Ensure non-happy path scenarios are considered and handled.
Advocate for solutions that consider ease of maintenance and component reuse opportunities.
Leverage available documentation and exercise test versions of applications and APIs to understand existing functionality to inform enhancement opportunities and creation of new capabilities.
Requirements
Nice to have: financial industry experience
Nice to have: native mobile application requirements
Lead integration architecture discussions during discovery and blueprint workshops.
Assess current-state SnapLogic integrations and identify impacts associated with the Salesforce target solution.
Define high-level integration patterns, interfaces, dependencies, data flows, and API requirements across Salesforce, SAP, and other SHS enterprise systems.
Partner with Salesforce, data, security, functional, and SHS architecture teams to validate end-to-end solution assumptions.
Identify integration risks, dependencies, technical decisions, and follow-up items coming out of workshops.
Translate business needs into functional and technical requirements for mobile and digital solutions, defining user stories, API contracts, and integration flows in an Agile environment.
Responsibilities
Analyse business needs and translate them into clear user stories, acceptance criteria and functional specifications
Define screen behaviour, labels, UI logic, navigation actions and end-to-end application flows, including happy and alternative paths
Review and annotate UX/UI designs, ensuring alignment between business requirements, user experience and technical implementation
Define, analyse and document API contracts, integration requirements and service interfaces using OpenAPI/Swagger
Collaborate closely with Solution Designers and development teams to design integration flows, data exchanges and technical solutions that fulfil business and application requirements
SnapLogic Integration Architect supporting the discovery, blueprint, and solution-design phase of the Siemens Healthineers global CRM transformation.
Responsibilities
Lead integration architecture discussions during discovery and blueprint workshops.
Assess current-state SnapLogic integrations and identify impacts associated with the Client target solution.
Define high-level integration patterns, interfaces, dependencies, data flows, and API requirements across Client, SAP, and other SHS enterprise systems.
Partner with Client, data, security, functional, and SHS architecture teams to validate end-to-end solution assumptions.
Identify integration risks, dependencies, technical decisions, and follow-up items coming out of workshops.
As our Integrations Developer in Thailand, you’ll be the engineer who makes that stack reliable, working with local partners and internal teams to diagnose/fix integration issues, harden existing connections, and design/build new integrations for the Thai market.
Responsibilities
Own the Thai Integration Stack Technically
Investigate integration failures end to end across Cloudbeds APIs and webhooks, partner services, logs and data
Serve as the primary technical escalation point for Support and Onboarding
Work day-to-day with MecX Tech and other Thai development partners as a technical peer
Harden and Modernize business-critical integrations onto Cloudbeds-managed infrastructure
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Responsibilities
Design, build, test, deploy, and support scalable data pipelines and data products on Azure Databricks.
Develop ingestion and transformation processes for data from on-premises, cloud, SaaS, and third-party sources using batch and, where appropriate, streaming patterns.
Use SQL and Python or PySpark to transform, validate, and optimize large and complex datasets.
Design and maintain reusable data structures across raw, refined, and curated layers, applying dimensional modeling and star schema principles where appropriate.
Build reliable Delta Lake solutions and apply Databricks capabilities for orchestration, performance, observability, and data quality.
Requirements
Bachelor’s degree in technology, engineering, computer science, or a related field, or an equivalent combination of education and experience.