🛠 Tech Stack

💼 About This Role

You'll design and maintain ETL data engineering processes using Azure Synapse Analytics and Python (PySpark) to ensure efficient data extraction, transformation, and loading. You'll collaborate with cross-functional teams to understand data requirements and build scalable data storage structures. This role offers the opportunity to work on challenging projects in a remote, collaborative environment.

🎯 What You'll Do

• Develop and maintain ETL processes using Python (PySpark) and Azure Synapse Analytics.
• Design and build effective data storage structures in a Massively Parallel Processing SQL Pool.
• Extract data from REST APIs, SQL databases, and CSV files.
• Optimize data pipelines and notebooks for scalability and performance.
• Implement data quality checks and validation processes.

📋 Requirements

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

✨ Nice to Have

• Familiarity with big data technologies and machine learning.
• Experience with data visualization tools like Power BI or Tableau.
• Agile methodologies experience.

🎁 Benefits & Perks

• 💰 Competitive salary and bonuses with performance-based increases.
• 🏖️ Generous paid-time-off policy.
• ⏰ Flexible working hours.
• 🏠 Work remotely.
• 📚 Continuing education and company-sponsored 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