🛠 Tech Stack

💼 About This Role

You'll work on ETL data engineering using Azure Synapse Analytics and Python (PySpark) to build scalable data pipelines. You'll collaborate with cross-functional teams to design data models and ensure data quality, directly impacting key client projects.

🎯 What You'll Do

• Develop ETL processes using Python (PySpark) in Azure Synapse Analytics Notebooks.
• Design and build data warehousing structures with star schemas in MPP SQL Pool.
• Extract data from REST APIs, SQL tables, and CSV files.
• Monitor ETL jobs, troubleshoot issues, and ensure pipeline reliability.

📋 Requirements

• Proven ETL data engineering experience with Python (PySpark).
• Azure Synapse Analytics proficiency including Notebooks, Pipelines, Linked Services.
• Ability to write complex SQL queries in SparkSQL and MS SQL.
• Experience with version control such as Git (Azure DevOps).

✨ 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 performance bonuses
• 🏖️ Generous paid-time-off
• 🕒 Flexible working hours
• 🏠 Work remotely
• 📚 Company-sponsored education and certifications

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min