Requirements

Expected technologies

Python

AWS

Kafka

Terraform

Our requirements

• Excellent communication skills in spoken and written English (B2+ level).
• Genuine passion for leveraging data and AI to solve complex problems and make a tangible impact.
• Deep expertise and proven track record in Python for building large-scale data and backend applications (5+ years professional experience).
• Strong experience with AWS cloud services (e.g., EMR, Glue, ECS with Docker, Redshift, DynamoDB, S3) and understanding of cloud-native architectures (3+ years).
• Professional experience in Big Data architecture, Data Warehousing, designing complex ETL/ELT pipelines, and data pipeline orchestration (2+ years).
• Solid experience with Apache Kafka (MSK) for real-time data ingestion and processing (1+ years).
• Familiarity with Infrastructure as Code (Terraform) and Huggingface Transformers (considered a plus).
• We value different career paths — if you have taken career breaks, switched disciplines, or balanced work with family life, we still encourage you to apply.
• If you don’t meet every single requirement but are excited about this role, we still would love to see you applying :)

Your responsibilities

• Lead the design and build of modern big data platforms and AI-powered tools that promote fair and inclusive hiring.
• Champion code quality by applying best practices like clean code, automated testing, CI/CD, observability, security, and Federated Governance.
• Design, implement, and optimize high-performance data pipelines and real-time applications using tools like Apache Kafka and Apache Spark.
• Manage and optimize complex ETL/ELT processes and data orchestration workflows.
• Continuously evaluate, improve, and scale our data infrastructure, advocating for new technologies and architectural patterns.
• Collaborate and mentor in an international, agile, cross-functional team, helping others grow and succeed.
• Contribute to building an inclusive team culture where every voice is valued.
• Work in a collaborative environment that values diverse perspectives and inclusive decision-making.