Job Overview
| Particulars | Details |
|---|---|
| Position | Junior AI & Data Engineer |
| Company | Apidel Technologies Pvt. Ltd. |
| Location | India |
| Job Type | Remote |
| Experience | 3 - 4 years |
| Category / Department | IT |
| Application Mode |
🏢 About Apidel Technologies Pvt. Ltd.
Company Overview:
Apidel is a staffing and recruitment organization focused on connecting clients with skilled professionals and helping candidates achieve their career goals. The company emphasizes long-term relationships with candidates and clients and provides staffing solutions across recruitment, delivery, account management, and operational functions.
Company Mission:
To provide effective staffing solutions while helping employees and candidates achieve their career goals through strong and lasting professional relationships.
Company Vision:
Not Provided
Core Values / Principles
Integrity
Client satisfaction
Innovation
Intellect
Long-term relationships
World-class service
Not Provided
💡 Editor's Note / Preparation Tip
Resume Tips:
Put Azure Databricks prominently near the top of your technical skills because it is mandatory.
Clearly highlight 4+ years of data engineering experience.
Showcase Python, SQL, PySpark, and ETL/ELT pipeline experience.
Highlight practical Generative AI, LLM, RAG, embeddings, and vector database projects.
Mention Azure OpenAI, Azure AI Foundry, ADF, ADLS, and Azure Functions experience.
Include AI framework experience such as LangChain, LangGraph, or Semantic Kernel.
Mention Git, CI/CD, Azure DevOps, and MLOps experience.
Quantify data pipeline scale, performance improvements, or AI application usage where possible.
Interview Preparation:
Revise Azure Databricks architecture, notebooks, clusters, Delta Lake, and data engineering workflows.
Prepare Python and advanced SQL questions.
Review PySpark transformations, actions, optimization, and large-scale data processing.
Understand ETL/ELT pipeline design and data quality practices.
Prepare detailed explanations of RAG architecture and LLM applications.
Revise embeddings, vector databases, retrieval strategies, and prompt-related concepts.
Review Azure OpenAI and Azure AI Foundry capabilities.
Prepare practical scenarios involving AI agents and LLM-powered applications.
Revise Azure Data Factory, ADLS, Azure Functions, Git, CI/CD, and Azure DevOps.
Review Data Lake/Lakehouse, data warehousing, and MLOps fundamentals.
Professional Tips:
Lead your resume with your strongest Azure Databricks and Data Engineering experience.
Use project-based examples to demonstrate practical AI/GenAI experience.
Clearly distinguish production experience from learning or proof-of-concept projects.
Highlight experience working independently in remote teams.
Include GitHub or portfolio links for relevant AI/Data Engineering projects if available.
Be prepared to explain the architecture of at least one end-to-end Data + AI solution.
📝 Job Description
Position Details:
Apidel is looking for a Junior AI & Data Engineer with 4+ years of experience to work on modern Microsoft Azure Data and AI solutions. The position is fully remote and requires strong hands-on expertise with Azure Databricks.
The role combines data engineering and artificial intelligence responsibilities. The selected candidate will contribute to building and supporting modern Data & AI platforms, scalable data pipelines, RAG applications, AI agents, and LLM-powered solutions.
Candidates should have strong knowledge of Python and SQL, along with experience in PySpark, ETL/ELT pipelines, Azure data services, and AI/Generative AI technologies.
Benefits / Compensation
100% fully remote work.
Opportunity to work with enterprise-scale Azure Data & AI technologies.
Exposure to Data Engineering, AI, Generative AI, RAG, AI agents, and LLM-powered solutions.
Salary/compensation: Not Provided.
Candidate Requirements:
4+ years of professional experience.
Mandatory hands-on experience with Azure Databricks.
Good proficiency in Python and SQL.
Experience with PySpark and data engineering.
Experience building ETL/ELT pipelines.
Hands-on exposure to AI/Generative AI.
Knowledge of Azure OpenAI, Azure AI Foundry, or similar Azure AI services.
Understanding of LLMs, embeddings, vector databases, and RAG.
Familiarity with AI frameworks such as LangChain, LangGraph, or Semantic Kernel.
Experience with Azure Data Factory, ADLS, and Azure Functions.
Familiarity with Git, CI/CD, and Azure DevOps.
Understanding of Data Lake/Lakehouse, Data Warehousing, and MLOps concepts.
Preferred Skills:
Azure Databricks
Python
SQL
PySpark
Azure OpenAI
Azure AI Foundry
Generative AI
LLMs
RAG
Vector Databases
Embeddings
LangChain
LangGraph
Semantic Kernel
Azure Data Factory
ADLS
Azure Functions
Azure DevOps
MLOps
Working Days & Hours:
Not Provided
How to Apply:
Interested candidates can share their updated CV or contact the recruiter directly at rishabh.y@apideltech.com.
🎯 Key Responsibilities
- ✓ Build and support modern Data & AI platforms on Microsoft Azure.
- ✓ Develop and maintain scalable data pipelines.
- ✓ Work with Azure Databricks for data engineering workloads.
- ✓ Develop and maintain ETL/ELT pipelines using PySpark and related technologies.
- ✓ Contribute to RAG applications and LLM-powered solutions.
- ✓ Support development of AI agents and Generative AI applications.
- ✓ Work with Azure AI services such as Azure OpenAI and Azure AI Foundry.
- ✓ Work with Azure Data Factory, ADLS, and Azure Functions.
- ✓ Contribute to data lake, lakehouse, data warehousing, and MLOps initiatives.
- ✓ Follow Git, CI/CD, and Azure DevOps practices.
💡 Required Qualifications & Skills
🚀 Career Guidance & Interview Insights
To help you succeed, we've compiled original preparation guides, resume keywords, and growth analytics for this category of role.
Joining as a Junior AI & Data Engineer offers a fantastic opportunity to work at the forefront of technological innovation. You will be exposed to modern software development lifecycles, collaborate with cross-functional product teams, and design scalable architectures that directly impact end-users. The continuous learning curve in tech ensures that your programming, debugging, and system engineering skills remain highly marketable and sharp.
The career roadmap in technology is highly rewarding. Typical progression starts as a Junior Software Engineer, moving to Associate Developer and then Senior Software Engineer (3-6 years). From there, professionals choose between an individual contributor track—becoming a Tech Lead, Staff Engineer, and Principal Architect—or a management track, advancing to Engineering Manager, Director of Engineering, and Chief Technology Officer (CTO).
Expected Technical & Behavioral Questions:
- Q1: How do you optimize database query performance?
Answer Tip: Talk about indexing strategies, query execution plan analysis, avoiding N+1 queries, and implementing caching layers (like Redis). - Q2: Explain the differences between Microservices and Monolithic architecture.
Answer Tip: Highlight scaling advantages, loose coupling, independent deployments, network latency considerations, and data consistency challenges in microservices. - Q3: How do you handle merge conflicts in Git?
Answer Tip: Explain checking out the local branch, pulling the latest main branch, running git merge, opening the conflicted files to resolve blocks manually, and committing the resolved merge.
To pass automated ATS (Applicant Tracking System) screening and catch the recruiter's eye, tailor your resume with the following tips:
- Keywords to include: Software Engineering, SDLC, OOP, CI/CD Pipelines, SQL databases, Agile, Unit Testing, Code Review, Cloud Architectures (AWS/Azure).
- Format: Use a clean, single-column resume format. Avoid graphics, text boxes, or tables which can scramble ATS parser outputs.
- Quantify Results: Instead of writing 'wrote code', write 'Developed a caching system that reduced server response times by 35%.'
Estimated compensation for this role type in India is ₹6,00,000 - ₹12,00,000 per annum (Mid level). The actual salary package offered depends on factors such as company size, work mode (remote or on-site), individual technical proficiency, and negotiations during final HR rounds.
Highly recommended certifications include: AWS Certified Solutions Architect, Microsoft Certified: Azure Fundamentals, Certified Kubernetes Administrator (CKA), Oracle Certified Professional Java SE, or tech-stack specific achievements (e.g. Meta Front-End Developer certification).
Frequently Asked Questions
What position is Apidel hiring for?
Apidel is hiring a Junior AI & Data Engineer.
How much experience is required?
Candidates should have 4+ years of experience.
Is the position fully remote?
Yes. The position is 100% fully remote.
Is Azure Databricks mandatory?
Yes. Strong hands-on experience with Azure Databricks is specifically stated as mandatory.
Which programming and data skills are required?
Candidates should have good proficiency in Python and SQL, along with PySpark, data engineering, and ETL/ELT experience.
Is Generative AI experience required?
Yes. Hands-on exposure to AI/Generative AI is required.
What AI concepts should candidates understand?
Candidates should understand LLMs, embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
Which Azure AI services are mentioned?
Azure OpenAI and Azure AI Foundry are specifically mentioned, along with similar Azure AI services.
Which AI frameworks are preferred?
Familiarity with LangChain, LangGraph, Semantic Kernel, or similar AI frameworks is preferred.
How can candidates apply?
Candidates can share their updated CV or contact the recruiter at rishabh.y@apideltech.com.
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