Key Responsibilities
- Lead the design and implementation of scalable data pipelines
- Optimize ETL processes for performance and cost efficiency
- Mentor junior engineers and set technical standards for the team
- Collaborate with data science teams to enable analytics and ML workflows
- Ensure data quality, governance, and compliance with regulations
- Evaluate and adopt new tools and technologies for data infrastructure
Requirements
- 7+ years of experience in data engineering or related fields
- Expertise in Python, SQL, and distributed computing (Spark)
- Experience with cloud data platforms (BigQuery, Snowflake)
- Strong understanding of data modeling and schema design
- Leadership experience in managing technical teams and projects