Software Engineer (Data)

The Software Engineer develops engaging software products that combine technical expertise with creative problem-solving. This engineer works on both front-end and back-end systems and uses modern AI tools and LLMs (like ChatGPT, Copilot) to accelerate development. The role is part of the GDA team at Maersk and works with the finance organization for performance management for entire Maersk Ocean and L&S products, product costing, cost optimization charters. The role works closely with data engineers, scientists and AIML engineers

Key Responsibilities

• Design and implement scalable data pipelines using

  Azure Data Factory (ADF)

  ,

  Databricks

  , and

  Synapse Analytics

  .
• Develop and maintain ETL/ELT workflows for structured and semi-structured data.
• Build and deploy full-stack web applications using

  React.js

  ,

  Angular

  , or

  Vue.js

  on the frontend, and

  Python (Flask/Django)

  ,

  Node.js

  , or

  Java Spring Boot

  on the backend.
• Containerize and deploy applications using

  Docker

  and

  Kubernetes (K8s)

  , ensuring scalability and reliability.
• Integrate APIs and automate workflows using

  Logic Apps

  ,

  Azure Functions

  , and

  RESTful services

  .
• Secure applications and data using

  Azure Key Vault

  , RBAC, and managed identities.
• Use

  Generative AI tools

  (e.g., Azure OpenAI, GitHub Copilot) to accelerate coding, data transformation, and documentation.
• Prototype and deploy AI-powered features such as natural language interfaces, smart data summarization, or code generation.
• Apply software engineering best practices including

  version control

  ,

  unit testing

  ,

  CI/CD

  , and

  cloud-native development

  .
• Collaborate with cross-functional teams to deliver robust, scalable, and secure solutions.
• Collaborate with designers, product managers, and other engineers to shape product direction and deliver features quickly.
• Rapidly prototype and iterate applications with unconventional, creative approaches (vibe coding” spirit: smart, fast, bold).

Required Skills

• You should have atleast 4 to 5 years of experience on the below
• Strong hands-on experience with

  Azure services

  : Databricks, ADF, Logic Apps, Key Vault, Data Lake, Synapse.
• Proficiency in

  Python

  ,

  SQL

  ,

  Spark

  , and modern web development stacks.
• Experience deploying containerized applications using

  Docker

  and

  Kubernetes

  .
• Familiarity with

  DevOps

  , Git, CI/CD pipelines, and cloud-native development.
• Exposure to

  GenAI tools

  for development or data workflows.
• Strong problem-solving, communication, and collaboration skills.
• Able to handle identity management / RBAC
• Hands-on experience with AI productivity tools (Copilot, ChatGPT, Claude, etc.). (4 yrs not possible on this )
• Strong problem-solving ability, creative ideation, and rapid prototyping experience.