Carrier Recruitment Hiring Graduates Freshers for Associate Data Engineer. Exciting Job opportunity for freshers looking to start their career as an engineer. Carrier is a global leader that creates heating, air conditioning, refrigeration, and building security systems. So, below here are the Carrier Job description, Eligibility, and details.
Company Name: Carrier
Job Role: Associate Data Engineer
Location: Bangalore
Experience: Freshers (0-2 Years)
Education: Bachelor’s Degree
Batch: Not Mentioned
Last Date: ASAP
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Carrier Recruitment
Job Description
- Cross-platform orchestration: Design, deploy, and maintain solution architecture for Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI.
- Custom extensibility: Build and maintain enterprise connectors, plugins, and OpenAPI manifests to integrate AI platforms with proprietary databases, ERPs, and legacy systems.
- Data grounding and retrieval: Design, tune, and scale Retrieval-Augmented Generation pipelines using Microsoft Graph and Google Cloud APIs to deliver accurate, context-aware AI interactions.
- Multi-agent workflows: Design and implement autonomous workflows using frameworks such as Semantic Kernel, Azure AI Agent Service, or custom Python-based orchestration layers.
- Low-code and full-code integration: Connect low-code automations across Power Platform, Power Automate, and Logic Apps with programmatic backend scripts in Python or TypeScript.
- Emerging AI platform evaluations: Demonstrate flexibility to assess upcoming AI platforms and tools such as Codex, Claude, and Kong AI by conducting structured evaluations, comparing capabilities against enterprise requirements, and producing clear recommendation reports for leadership and stakeholders.
Eligibility
- Enterprise AI tooling: 0-2 years of hands-on technical experience with Microsoft Copilot Studio, Power Platform, Google Gemini Enterprise, and Vertex AI.
- Core engineering: Strong proficiency in Python or TypeScript for building custom plugins, data ingestion scripts, and integrations with LLM APIs.
- Cloud architecture: Solid understanding of Azure AI Foundry, Azure AI Services, and Google Cloud Platform.
- Data systems: Experience with graph data, embeddings, vector databases, and enterprise content management platforms such as SharePoint, OneDrive, and Google Drive.
- DevOps and CI/CD: Experience establishing continuous integration and deployment pipelines for AI agents, prompt configurations, and platform automation.
- Programming foundation: Basic hands-on experience with Python, TypeScript, JavaScript, or a similar programming language.
- Cloud and platform understanding: Familiarity with Microsoft Azure, Google Cloud Platform, Microsoft 365, Power Platform, or comparable enterprise platforms.
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Important Note While Applying For Jobs:
Please read the job instructions and requirements carefully before applying. If your CV is shortlisted, you will receive all communications from the organization via your registered email address. Keep checking your inbox for details about the next round once your CV has been shortlisted.
How To Apply for Carrier Recruitment?
Eligible candidates apply for this Drive online by following the below link. All Interview details will be shared via email.
More Details Carrier Recruitment
Selection and Interview Process at Carrier
The interview process at Carrier typically comprises three rounds, starting with a technical, Managerial or Case study proceeding to a HR interview for applicable roles.
1. Online Assessment: Candidates may first complete an online assessment covering quantitative aptitude, logical reasoning, basic programming, SQL, and data-related concepts. Programming questions may involve Python, SQL, or another language mentioned in the job description.
2. Technical Interview: The technical round generally focuses on SQL, Python, databases, data structures, and data engineering fundamentals. Interviewers may ask about joins, subqueries, CTEs, window functions, aggregations, normalization, indexing, and query optimization. Questions on Python programming, data manipulation using Pandas, ETL/ELT concepts, data pipelines, and handling large datasets may also be discussed.
3. Data Engineering / Project Discussion: Candidates may be asked to explain their academic or personal projects, particularly those involving databases, ETL pipelines, cloud platforms, analytics, or data processing. Be prepared to explain the architecture, technologies used, your individual contribution, challenges faced, and how you ensured data quality and reliability.
4. Managerial / Behavioral Interview: This round typically evaluates problem-solving, teamwork, communication, ownership, and adaptability. Questions may include: Tell me about yourself, why do you want to join Carrier, why are you interested in data engineering, describe a challenging project, how do you handle conflicting priorities, and tell me about a time you solved a difficult problem.
Basic Interview Questions
- Tell me about yourself.
- What are your strengths and weaknesses?
- Why do you want to work here?
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