Data Engineering (Databricks & Snowflake)

Lead the design and architecture of scalable, high-performance data solutions on Databricks and Snowflake, and oversee the development and maintenance of robust ETL/ELT pipelines.

Requirements

• 7+ years of experience in data engineering or related roles
• Strong expertise in Databricks (Spark, Delta Lake) and Snowflake
• Proficiency in Python, SQL, and distributed data processing frameworks
• Experience designing and implementing ETL/ELT pipelines at scale
• Strong understanding of data modeling, data warehousing, and lakehouse architecture
• Experience with orchestration tools (Airflow, Azure Data Factory, etc.)
• Knowledge of cloud platforms (Azure, AWS, or GCP)
• Familiarity with data governance, security, and compliance practices
• Excellent problem-solving and leadership skills

Benefits

• Competitive salary
• Bonuses
• Benefits package
• Paid time off