🛠 Tech Stack

💼 About This Role

You'll develop and maintain ETL data engineering processes using Azure Synapse Analytics and PySpark for a growing software consultancy. You'll design effective data storage structures in an MPP SQL Pool and extract data from REST APIs, SQL databases, and CSV files. This role offers the chance to work on challenging projects in a collaborative, remote-first environment.

🎯 What You'll Do

• Develop and maintain ETL processes with Python (PySpark) in Azure Synapse Analytics.
• Design and build data warehousing structures using star schemas in MPP SQL Pool.
• Extract data from REST APIs, SQL tables, and CSV files.
• Monitor and troubleshoot ETL jobs to ensure pipeline reliability.

📋 Requirements

• Bachelor's degree in Computer Science or equivalent experience.
• Proven experience in ETL data engineering with Python (PySpark).
• Proficiency in Azure Synapse Analytics resources (Notebooks, Pipelines, etc.).
• Ability to write complex SQL queries and optimize performance.

✨ Nice to Have

• Experience with data visualization tools like Power BI or Tableau.
• Familiarity with big data technologies and machine learning.
• Certifications such as Azure Data Engineer.

🎁 Benefits & Perks

• 💰 Competitive salary and bonuses
• 🏖️ Generous paid-time-off policy
• 🕐 Flexible working hours
• 🏠 Work remotely
• 📚 Continuing education and certifications

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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