🛠 Tech Stack

💼 About This Role

You'll join a rapidly growing software consultancy, designing and optimizing ETL data pipelines using Azure Synapse Analytics. You'll build scalable data solutions from diverse sources, ensuring data quality and performance while collaborating with cross-functional teams.

🎯 What You'll Do

• Develop ETL pipelines using Python (PySpark) in Azure Synapse
• Design star schema data warehouses in Synapse SQL Pool
• Extract data from REST APIs, SQL tables, and CSV files
• Monitor ETL jobs and resolve pipeline issues

📋 Requirements

• Proven experience in ETL data engineering with Python (PySpark)
• Proficiency in Azure Synapse Analytics (Notebooks, Pipelines, Key Vault)
• Ability to write complex SQL queries (SparkSQL, MS SQL)
• Experience with version control systems like Git (Azure DevOps)

✨ Nice to Have

• Bachelor's degree in Computer Science or related field
• Experience with big data technologies or machine learning
• Knowledge of data visualization tools (Power BI, Tableau)

🎁 Benefits & Perks

• 💰 Competitive salary and bonuses
• 🏖️ Generous paid-time-off policy
• ⏰ Flexible working hours
• 🏡 Work remotely
• 📚 Continuing education, training, 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