Senior Data Engineer

📋 Description

• Design, build, and optimize cloud-based data platforms powering analytics, AI, and data products
• Develop scalable batch, streaming, and near-real-time pipelines with governance and observability
• Collaborate with data scientists, ML engineers, and platform teams to enable AI/GenAI workflows
• Leverage AWS and Databricks-based Lakehouse architectures; integrate with Snowflake/Azure/GCP as
• Implement data modeling, orchestration, and automation for end-to-end pipelines
• Ensure data quality, security, and RBAC/ABAC compliance across the data ecosystem

🎯 Requirements

• Strong hands-on Spark and Delta Lake experience; Python and SQL proficiency
• Production-grade data pipelines experience (batch, streaming)
• Deep AWS and Databricks expertise; exposure to Snowflake, Azure/Fabric, or GCP is a plus
• Familiarity with Airflow, dbt, Databricks Workflows, Unity Catalog, and data governance concepts
• Experience with GenAI/Data Products, LLMs, RAG pipelines, and AI data systems is desirable
• Ability to translate business requirements into robust data solutions through collaboration

🎁 Benefits

• Private health insurance
• Educational program with training and certification
• Wellbeing program and free beverages
• Team events, competitive compensation, and work on challenging projects