Key Responsibilities
- Lead the design and implementation of scalable data pipelines
- Optimize ETL processes for performance and reliability
- Collaborate with data science teams to enable analytics workflows
- Ensure data quality, integrity, and security across systems
- Mentor junior engineers and establish best practices
- Evaluate and adopt new data technologies and tools
Requirements
- 7+ years of experience in data engineering or related fields
- Expertise in Python, SQL, and big data frameworks like Spark
- Experience with data pipeline orchestration tools like Airflow
- Knowledge of cloud data platforms (BigQuery, Redshift, etc.)
- Strong leadership skills and ability to drive technical decisions