🛠 Tech Stack

💼 About This Role

You'll join a growing software consultancy, designing and building ETL data engineering processes using Azure Synapse Analytics. You'll extract, transform, and load data from diverse sources, ensuring data quality and performance.

🎯 What You'll Do

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

📋 Requirements

• Bachelor's degree in Computer Science or related field.
• Proven experience in ETL data engineering with Python (PySpark).
• Proficiency in Azure Synapse Analytics (Notebooks, Pipelines, Key Vault).
• Strong SQL skills (SparkSQL and MS SQL) for data transformation.

✨ Nice to Have

• Experience with big data technologies and machine learning.
• Familiarity with data visualization tools (Power BI, Tableau).
• Certifications such as Azure Data Engineer.

🎁 Benefits & Perks

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

📨 Hiring Process

Estimated timeline: 1-2 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· N/A