🛠 Tech Stack

💼 About This Role

You'll design and build ETL data engineering processes using Azure Synapse Analytics to ensure efficient data transformation and loading. You'll work on challenging projects that directly impact client success, collaborating with cross-functional teams in a growing consultancy.

🎯 What You'll Do

• Develop and maintain ETL processes using Python (PySpark) in Azure Synapse.
• Design and build data warehousing structures with star schemas.
• Extract data from REST APIs, SQL databases, and CSV files.
• Optimize and monitor data pipelines for performance and reliability.

📋 Requirements

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

✨ Nice to Have

• Experience with big data technologies, machine learning, or data analysis.
• Familiarity with data visualization tools (Power BI, Tableau) and Agile methodologies.
• Azure Data Engineer certification.

🎁 Benefits & Perks

• 💵 Competitive salary and bonuses
• 🏖️ Generous PTO
• ⏰ Flexible working hours
• 🌍 Remote work
• 📚 Continuing education and certifications

📨 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