🛠 Tech Stack

💼 About This Role

You'll design and maintain ETL data engineering processes using Azure Synapse Analytics for a leading software consultancy. Your work will directly impact data pipeline reliability and scalability for cross-functional teams.

🎯 What You'll Do

• Develop ETL pipelines using Python (PySpark) in Azure Synapse
• Design and optimize data warehousing structures (star schemas)
• Extract data from REST APIs, SQL databases, and CSV files
• Implement data quality checks and performance tuning

📋 Requirements

• Bachelor’s degree in Computer Science or equivalent
• Proven experience in ETL data engineering using Python (PySpark)
• Proficiency in Azure Synapse Analytics (Notebooks, Pipelines, Linked Services)
• Ability to write complex SQL queries and optimize performance

✨ Nice to Have

• Experience with big data technologies, machine learning, or data analysis
• Data visualization tools (e.g., Power BI, Tableau)
• Agile methodologies experience

🎁 Benefits & Perks

• 💰 Competitive salary and bonuses with performance-based increases
• 🏖️ Generous paid-time-off policy
• 🕒 Flexible working hours
• 🏠 Work remotely
• 📚 Continuing education (training, conferences, certifications)

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Team fit interview· 45 min