🛠 Tech Stack

💼 About This Role

You'll design and build scalable data pipelines using Azure Synapse Analytics and PySpark, supporting a growing consultancy's data engineering projects. Your work will enable data-driven insights for clients across various industries. This role offers flexibility and professional development opportunities.

🎯 What You'll Do

• Develop and maintain ETL pipelines with PySpark in Azure Synapse.
• Design star schema data models for MPP SQL pools.
• Extract data from REST APIs, SQL tables, and CSV files.
• Monitor and troubleshoot pipeline performance and reliability.

📋 Requirements

• Bachelor's degree in Computer Science, IT, or equivalent experience
• Proven ETL experience with PySpark in Azure Synapse
• Expertise in Azure Synapse notebooks, pipelines, and Key Vault
• Strong SQL skills including optimization and SparkSQL

✨ Nice to Have

• Azure Data Engineer certification
• Experience with Power BI or Tableau
• Familiarity with big data technologies and machine learning

🎁 Benefits & Perks

• 💰 Competitive salary and bonuses with performance-based increases
• 🏖️ Generous paid-time-off policy
• 🕒 Flexible working hours
• 🏠 Work remotely
• 📚 Continuing education and certification sponsorship

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min