🛠 Tech Stack

💼 About This Role

You'll design and build ETL data engineering processes using Azure Synapse Analytics, collaborating with cross-functional teams to deliver high-quality data solutions. You will optimize data pipelines for scalability and performance, ensuring reliable data flow for our clients. This role offers the chance to work on challenging projects in a growing software consultancy.

🎯 What You'll Do

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

📋 Requirements

• Bachelor's degree in Computer Science or related field (or equivalent experience).
• Proven ETL experience with Python (PySpark) for data extraction and transformation.
• Proficiency in Azure Synapse Analytics (Notebooks, Pipelines, Linked Services, Key Vault).
• Ability to write complex SQL and optimize queries (SparkSQL and MS SQL).

✨ Nice to Have

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

🎁 Benefits & Perks

• 💰 Competitive salary and performance-based bonuses.
• 🏖️ Generous paid-time-off policy.
• 🕒 Flexible working hours.
• 🏠 Work remotely.
• 📚 Continuing education support (training, conferences, certifications).

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Culture Fit Interview· 30 min