The data engineering landscape is booming as companies modernize their supply chains with real‑time analytics. Roles that blend cloud ETL expertise with emerging AI technologies are in high demand, making this junior position a perfect launchpad. This opportunity lets you work remotely while gaining hands‑on experience with Azure, Kafka, and generative AI concepts.

Job Summary

We are seeking a Junior Data Engineer to design, build, and maintain scalable ETL/ELT pipelines on Azure, support supply‑chain data workflows, and collaborate with analytics teams. The role requires solid SQL background (IBM DB2, SQL Server, Oracle), exposure to streaming technologies, and a curiosity for MLOps and Generative AI concepts.

Top 3 Critical Skills Table

Interview Preparation

1. Design an end‑to‑end ETL pipeline in Azure Data Factory for inventory data.
   What the interviewer is looking for: Understanding of linked services, datasets, copy activities, scheduling, error handling, and how to integrate with Azure Databricks for transformations.
2. Compare Kafka with Azure Event Hubs and explain when you would choose each.
   What the interviewer is looking for: Knowledge of streaming architectures, throughput, durability, ecosystem integrations, and cost considerations.
3. Describe how you would implement MLOps for a demand‑forecasting model.
   What the interviewer is looking for: Experience with CI/CD pipelines, model versioning, automated testing, monitoring, and rollback strategies.
4. Walk through the steps you take to optimize a slow query in IBM DB2 or SQL Server.
   What the interviewer is looking for: Ability to analyze execution plans, use indexes, rewrite joins, and apply partitioning or statistics.
5. What are the key considerations when integrating Generative AI (LLMs) into a supply‑chain workflow?
   What the interviewer is looking for: Awareness of prompt engineering, data privacy, latency, model governance, and realistic use‑case boundaries.

Resume Optimization

• Junior Data Engineer
• Azure Data Factory
• Azure Databricks
• ETL / ELT
• Kafka
• IBM DB2
• SQL Server
• MLOps
• Generative AI
• Supply chain analytics

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attaches your updated resume, and clearly highlights your top skills. Make sure to mention related skills you possess, such as Azure Data Factory, Kafka streaming, and MLOps practices, and reference any supply‑chain or inventory projects that align with the role.

Career Roadmap