🛠 Tech Stack

💼 About This Role

You'll develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics, building data storage structures in an MPP SQL Pool. You'll optimize data pipelines for scalability and performance while collaborating with cross-functional teams on meaningful projects.

🎯 What You'll Do

• Develop ETL processes using PySpark in Azure Synapse Notebooks
• Design star schema data models in MPP SQL Pool
• Extract data from REST APIs, SQL tables, and CSV files
• Implement data quality checks and performance tuning

📋 Requirements

• Proven experience in ETL data engineering with Python (PySpark)
• Proficiency in Azure Synapse Analytics including Notebooks and Pipelines
• Ability to write complex SQL queries and optimize performance
• Experience with version control systems like Git (Azure DevOps)

✨ Nice to Have

• Familiarity with big data technologies and machine learning
• Experience with data visualization tools (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 including conferences and certifications

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· 15 min