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