🛠 Tech Stack

💼 About This Role

You'll design and maintain ETL data engineering processes using Azure Synapse Analytics for a growing software consultancy. Your work will enable efficient data extraction, transformation, and loading from diverse sources. You'll collaborate with cross-functional teams to build scalable data storage structures and ensure data quality.

🎯 What You'll Do

• Develop and maintain ETL data engineering processes using Python (PySpark) in Azure Synapse.
• Design and build effective data storage structures in a Massively Parallel Processing SQL Pool.
• Extract data from REST APIs, SQL database tables, and CSV files.
• Implement data quality checks and validation processes to maintain accuracy.

📋 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 like Power BI or Tableau.
• Certifications related to data engineering (e.g., Azure Data Engineer).

🎁 Benefits & Perks

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

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

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