Senior Data Engineer

📋 Description

• Design, build, and optimize cloud-based data platforms powering analytics, AI, and data products.
• Work on scalable batch, streaming, and near-real-time pipelines with governance and observability.
• Collaborate with data scientists and platform teams to support GenAI and AI initiatives.
• Leverage AWS and Databricks as primary platforms; experience with Snowflake/Azure/GCP is a plus.
• Apply lakehouse architectures, medallion patterns, and data governance best practices.

🎯 Requirements

• Strong hands-on Apache Spark and Delta Lake; proficient Python and SQL.
• Extensive experience building production-grade data pipelines and data platforms.
• Deep knowledge of data modeling, quality, governance, and RBAC/ABAC concepts.
• Hands-on AWS and Databricks experience; familiarity with Snowflake, Azure/Fabric, or GCP is a plus.
• Experience with Airflow, dbt, Databricks Workflows, Unity Catalog, and data observability practices.

🎁 Benefits

• Competitive compensation and health benefits; mental/physical health programs.
• Professional development, internal workshops, English classes, and certifications reimbursement.
• Inclusive culture, mentoring programs, and opportunities to contribute to communities.