Data engineering on Azure is exploding as companies migrate their analytics to the cloud, making skilled engineers more valuable than ever. This Azure Data Engineer role sits at the heart of that transformation, offering hands‑on work with Databricks, Spark, and modern data lakes. With a 12‑month contract and on‑site presence, it’s a fast‑track opportunity to showcase leadership and technical depth.

Job Summary

We are seeking an experienced Azure Data Engineer to design, build, and optimize end‑to‑end data pipelines on Azure Databricks, Azure Data Lake Storage, and Azure SQL Database. The ideal candidate will write production‑grade code in Python, Scala, or SQL, implement robust ETL/ELT processes, and lead a technical team to deliver multiple concurrent projects.

Top 3 Critical Skills Table

Interview Preparation

1. Describe how you would architect a data lake using Azure Databricks and Azure Data Lake Storage.
   What the interviewer is looking for: Understanding of lakehouse concepts, partitioning strategies, and security controls.
2. Explain the differences between ETL and ELT in a Spark environment and when you would choose each.
   What the interviewer is looking for: Knowledge of processing overhead, data movement costs, and performance tuning.
3. Walk through a complex Spark job you optimized for performance. Which metrics did you monitor and what changes did you apply?
   What the interviewer is looking for: Hands‑on experience with Spark tuning—shuffle partitions, caching, predicate push‑down, etc.
4. How do you ensure data quality and consistency across multiple pipelines feeding Azure SQL Database?
   What the interviewer is looking for: Approaches to testing, schema enforcement, idempotency, and monitoring.
5. Tell us about a time you led a technical team through competing project deadlines. How did you prioritize and communicate?
   What the interviewer is looking for: Leadership style, stakeholder management, and ability to keep projects on track.

Resume Optimization

• Azure Databricks
• Spark
• Python
• Scala
• SQL
• Azure Data Lake Storage
• Azure SQL Database
• Data Modeling
• ETL/ELT Processes
• Technical Leadership

Application Strategy

When reaching out to the recruiter, send a concise email that starts with a friendly greeting, attach your updated resume, and clearly reference the Azure Data Engineer opening. Highlight your top skills—such as Azure Databricks, Spark performance tuning, and team leadership—and cite specific projects where you built end‑to‑end pipelines on Azure. Make sure to map your experience directly to the key requirements listed in the job description.

Career Roadmap