🛠 Tech Stack

💼 About This Role

You'll design and develop scalable data pipelines for a Big Four accounting firm, using Apache Spark and Python to process and transform large datasets. Your work will directly support AI-driven tax tools delivered to enterprise clients. This role offers the chance to work on cutting-edge technology with a global team.

🎯 What You'll Do

• Design and maintain scalable Spark applications.
• Conduct code reviews to enforce best practices.
• Collaborate with cross-functional teams on solutions.
• Optimize code for performance and scalability.
• Create and maintain comprehensive documentation.

📋 Requirements

• 5+ years of hands-on software development experience.
• Extensive experience with Apache Spark and Databricks/Azure Synapse.
• Proficient in Python with strong data manipulation skills (Pandas/Polars).
• Solid understanding of Parquet and Delta Tables.

✨ Nice to Have

• Experience with Azure Cloud services like Service Bus and Data Lake.
• Familiarity with FastAPI.
• Expertise in Docker and Kubernetes.

🎁 Benefits & Perks

• 🌍 International projects
• 🏢 Remote/hybrid flexibility
• 🏥 Medical healthcare
• 📚 Learning reimbursement
• 💰 Referral bonuses

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter screen· 30 min
2. 2Technical interview· 60 min
3. 3Manager interview· 45 min