🛠 Tech Stack

💼 About This Role

You'll design and maintain ETL data engineering processes using Azure Synapse Analytics and Python (PySpark). You'll optimize data pipelines for scalability and performance, collaborating with cross-functional teams on meaningful projects. This fully remote role offers a collaborative environment with continuous learning opportunities.

🎯 What You'll Do

• Develop and maintain ETL processes using PySpark in Azure Synapse.
• Design data warehousing structures with star schemas and dimensions.
• Extract data from REST APIs, SQL databases, and CSV files.
• Monitor and optimize ETL pipelines for performance and reliability.

📋 Requirements

• Bachelor's degree in Computer Science or related field (or equivalent work experience).
• Proven ETL experience with Python (PySpark) and Azure Synapse Analytics.
• Expertise in complex SQL queries and query optimization.
• Experience with version control systems like Git (Azure DevOps).

✨ Nice to Have

• Certifications in data engineering (e.g., Azure Data Engineer).
• Familiarity with big data technologies, machine learning, or data analysis.
• Experience with data visualization tools (Power BI, Tableau) and Agile methodologies.

🎁 Benefits & Perks

• 💰 Competitive salary and performance-based increases.
• 🏖️ Generous PTO and flexible working hours.
• 🏠 Work remotely with company support.
• 📚 Continuing education and training opportunities.
• 🎓 Sponsored coursework, exams, and certifications.

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

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

🚩 Heads Up

• Broad responsibilities list may indicate role scope creep.
• Multiple preferred qualifications listed as requirements.