🛠 Tech Stack

💼 About This Role

You'll design and maintain ETL data pipelines using Azure Synapse Analytics and PySpark to support data-driven solutions. You'll collaborate with cross-functional teams to transform raw data into actionable insights.

🎯 What You'll Do

• Develop ETL pipelines with Python (PySpark) in Azure Synapse
• Design data warehousing structures in MPP SQL Pool
• Extract data from REST APIs, SQL tables, and CSV files
• Optimize data notebooks/pipelines for scalability and performance

📋 Requirements

• Bachelor's degree in Computer Science or related field
• 3+ years of ETL data engineering experience
• Python (PySpark) proficiency for data transformation
• Azure Synapse Analytics experience with Notebooks and Pipelines

✨ Nice to Have

• Azure Data Engineer certification
• Experience with big data technologies and machine learning
• Data visualization tools (Power BI, Tableau)

🎁 Benefits & Perks

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

📨 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