Cloud Data Engineer (Snowflake/Databricks)

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines.
• Use Snowflake and/or Databricks for workflows.
• Develop data models: star schemas, lakehouse, scalable structures.
• Optimize queries, workloads, and cloud costs.
• Orchestrate with Airflow or similar tools.
• Create data products for analytics and BI teams.

🎯 Requirements

• 4+ years in Data Engineering or related field.
• Strong SQL and Python proficiency.
• Hands-on Snowflake and/or Databricks experience.
• Experience with Apache Spark (batch/streaming).
• Proven ETL/ELT pipeline design and implementation.
• Familiarity with Airflow or similar orchestration tools.

🎁 Benefits

• Full-time opportunity in a modern cloud data environment.
• Fully remote work arrangement.
• Exposure to Snowflake, Databricks, Spark, SQL, Python, cloud tech.
• Hands-on with ETL/ELT, data modeling, orchestration, analytics.
• Cross-functional collaboration with data teams.