🛠 Tech Stack

💼 About This Role

You'll join a rapidly growing software consultancy, developing and maintaining ETL pipelines using Azure Synapse Analytics and Python (PySpark). You'll design data storage structures in a massively parallel processing SQL pool and extract data from REST APIs, databases, and CSV files. This role offers remote work across Latin America with opportunities for professional development.

🎯 What You'll Do

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

📋 Requirements

• Bachelor's degree in Computer Science, IT, or related field.
• 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.

✨ Nice to Have

• Experience with big data technologies, machine learning, or data analysis.
• Familiarity with data visualization tools like Power BI or Tableau.
• Certifications like Azure Data Engineer or Agile methodologies.

🎁 Benefits & Perks

• 💰 Competitive salary and performance-based bonuses.
• 🏖️ Generous paid-time-off policy.
• 🕒 Flexible working hours.
• 🏠 Remote work.
• 📚 Continuing education and company-sponsored certifications.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Assignment· 2-3 hours
4. 4Final Round with Team· 45 min