Senior Data Software Engineer/ AWS, Databricks, PySpark

Responsibilities

• Design and implement solutions for cross-region data exchange in environments with strict regulatory and security requirements
• Build and maintain scalable backend services and integrations using Python
• Develop and support data pipelines using PySpark and Apache Airflow (MWAA)
• Deploy and manage Databricks environments on AWS via reusable Terraform modules
• Establish and maintain Delta Sharing for secure data sharing between Databricks accounts
• Create microservices and platform tooling that enable collaboration across distributed engineering teams
• Contribute to platform initiatives used by engineers globally
• Collaborate with cross-functional stakeholders spanning multiple geographies and business units

Languages

Required

• Strong backend engineering experience in Python, including async patterns, clean code, and testing with pytest
• Working knowledge of AWS services such as IAM, S3, and DynamoDB
• Familiarity with Kubernetes on AWS, CodeArtifact, and MWAA
• Hands-on proficiency in Databricks and PySpark for data pipeline development and platform management
• Background in designing and building microservices architecture and distributed systems
• Skills in Infrastructure as Code using Terraform or equivalent
• Understanding of data security and privacy principles, including GDPR

Nice to have

• Team player — respectful communication and shared responsibility for team outcomes
• English level B2+, with the ability to communicate fluently with English-speaking stakeholders and share technical reasoning clearly

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