Description

You will own the design, development, and maintenance of scalable data pipelines and lakehouse architectures.

Responsibilities

• Build and optimize ETL/ELT processes for structured and unstructured data.
• Develop and manage data models, warehouses, and lakehouse architectures.
• Implement data ingestion, transformation, and orchestration workflows.
• Optimize performance, cost, and scalability of data platforms.
• Ensure data quality, governance, and security standards while supporting analytics teams.

Required Skills

• 7+ years of experience in data engineering.
• Strong hands-on experience with Snowflake, including performance tuning.
• Proficiency in Python or PySpark for data processing.
• Strong SQL and data modeling skills, including star and snowflake schemas.
• Experience with ETL/ELT tools and frameworks.
• Familiarity with cloud platforms, preferably Azure.
• Understanding of data warehousing concepts and modern data platform ecosystems.
• Bachelor’s degree in Computer Science, IT, or a related field.

Preferred Skills

• Experience optimizing large-scale data environments.
• Familiarity with advanced analytics and reporting integrations.

Key Skills

Education

Bachelor's degree