Senior Data Engineer (Data + Applied AI)

Responsibilities:

• Building and maintaining production-grade data pipelines in cloud data warehouses.
• Creating and optimizing Airflow DAGs for data workflow orchestration.
• Implementing dimensional data models and data mart structures.

Must-Have Requirements:

• 5+ years of experience in data engineering, analytics engineering, or a related role.
• Proven production experience with at least one major cloud data warehouse.
• Strong hands-on experience with dbt, including incremental models, tests, and documentation.

Nice-to-have:

• Experience with real-time or streaming data pipelines using Kafka, Kinesis, or Pub/Sub.
• Knowledge of vector databases such as Pinecone, Weaviate, FAISS, or Chroma.
• Familiarity with data lakehouse patterns (Delta Lake, Iceberg, Apache Hudi)