Junior Developer - Data & AI
Skills
About This Role
Job Description
- Assist in the development, testing, and maintenance of data and AI solutions under the guidance of the Manager - Intelligent Automation and Analytics
- Support the design and implementation of data pipelines, ETL processes, and basic data transformations to enable reliable data consumption for analytics and AI use cases
- Collaborate with senior developers and data engineers to integrate AI models and automation components into existing business applications and workflows
- Participate in code reviews, follow coding standards, and contribute to improving code quality, documentation, and maintainability
- Perform basic data exploration, validation, and quality checks to ensure accuracy, completeness, and consistency of data used for analytics and AI models
- Develop and maintain simple scripts, utilities, and APIs to support intelligent automation, reporting, and data processing activities
- Assist in monitoring and troubleshooting data pipelines, AI models, and automation solutions, escalating complex issues to senior team members when required
- Document technical specifications, solution designs, test cases, and deployment steps for data and AI components in a structured and reusable format
- Work closely with business stakeholders and analytics teams to understand requirements, clarify data needs, and translate them into basic technical tasks
- Support deployment, configuration, and version control of data and AI assets across development, test, and production environments following established processes
- Contribute to proof-of-concept initiatives in data, AI, and intelligent automation by building prototype solutions and experimenting with new tools and techniques
- Adhere to organizational security, compliance, and data governance guidelines while handling sensitive business data and developing AI-powered solutions
- Continuously learn and upgrade skills in data engineering, AI, and automation technologies relevant to the Data Foundation department and business needs
- Collaborate with cross-functional teams within the Data Foundation department to ensure alignment of solutions with enterprise data architecture and standards
- Provide basic operational support for existing data and AI solutions, including incident resolution, minor enhancements, and performance tuning
- Participate in agile ceremonies, status updates, and project meetings, providing clear and timely updates on assigned tasks and deliverables
- Support the preparation of technical and user documentation, training materials, and handover notes to ensure smooth adoption of solutions by end users and support teams
- Contribute ideas for improving development processes, automation opportunities, and the effective use of data and AI within the location
Requirements
- Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or a related field.
- Up to 3 years of experience in software development, data engineering, analytics, or AI related projects including internships or academic projects
- Basic understanding of programming concepts and experience with at least one language such as Python, Java, or C
- Familiarity with relational databases and basic SQL for querying and manipulating data, Exposure to data pipelines, ETL concepts, or data integration tools through coursework, projects, or prior roles, Interest in AI, machine learning, or intelligent automation and willingness to learn related frameworks and tools
- Ability to read and understand technical specifications, design documents, and data models
- Strong analytical and problem solving skills with attention to detail and data accuracy
- Good communication skills to work effectively with technical and non technical stakeholders
- Ability to work in a collaborative team environment within the Data Foundation department
- Willingness to follow established development standards, processes, and documentation practices
- Ability to manage multiple tasks, prioritize work, and meet deadlines under supervision
- Openness to continuous learning and adapting to new tools, technologies, and methodologies in data and AI
- Comfort working in an office environment at the location as per organizational requirements
- Eligibility to work in the specified location and comply with company policies and security guidelines
Skills
- Proficiency in at least one programming language such as Python, Java, or C, Basic SQL querying and understanding of relational database concepts.
- Fundamental understanding of data structures, algorithms, and object oriented programming, Exposure to data processing or ETL tools and concepts
- Familiarity with version control systems such as Git, Basic knowledge of APIs and integration concepts
- Understanding of core AI or machine learning concepts at a foundational level, Ability to perform data validation, cleansing, and simple exploratory analysis, Problem solving and analytical thinking
- Ability to write clean, readable, and maintainable code with guidance, Documentation and technical writing skills for code, processes, and solutions.
- Collaboration and teamwork in a multi disciplinary data and analytics environment
- Time management and task prioritization, Adaptability to new tools, frameworks, and technologies in data and AI
- Effective verbal and written communication skills
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