Senior Data Engineer

📋 Description

• Design, build, and optimize cloud-based data platforms powering analytics and AI.
• Develop scalable batch, streaming, and near-real-time data pipelines.
• Collaborate with data scientists and platform teams to enable AI systems and GenAI data use cases.
• Implement lakehouse architectures, governance, and observability in the data ecosystem.
• Partner with stakeholders to translate business needs into robust data solutions.

🎯 Requirements

• Strong hands-on experience with Apache Spark and Delta Lake.
• Proficient in Python and SQL; production-grade data pipelines expertise.
• Hands-on AWS and Databricks experience; familiarity with Snowflake, Azure/Fabric, or GCP a plus.
• Knowledge of data modeling, governance, and data quality principles.
• Experience with Airflow, dbt, Databricks Workflows; Spark optimization or CI/CD for data pipelines
• Experience with GenAI data systems (RAG, LLM data prep) and AI/ML data workflows.

🎁 Benefits

• Hybrid/Remote working model
• Health insurance, vacation plan, and development subsidies
• Office snacks and team events
• Diversity and inclusion initiatives and global collaboration
• Support for learning and career growth