Lead data engineering efforts, providing technical leadership and expertise in data manipulation, cloud platforms, and workflow automation.
- Bachelor's degree in computer science, Engineering, or a related field.
- 8+ years of progressive experience in data engineering, with at least 2 years in a technical leadership role.
- Expertise in Python and SQL for large-scale data manipulation and transformation.
- Extensive experience with cloud-based data platforms and services, particularly AWS.
- Deep understanding of data warehousing, dimensional modelling, and analytics frameworks.
- Hands-on experience with orchestration and workflow automation tools such as Apache Airflow and Jenkins.
- Proficiency in distributed, column-oriented databases (e.g., Vertica, Snowflake) and familiarity with CI/CD practices using Git or similar tools.
- Demonstrated ability to solve complex analytical problems and deliver high-quality, reliable data solutions at scale.
- Outstanding communication, collaboration, and organizational skills, with a track record of cross-functional partnership.
Top Skills
Apache Airflow
AWS
Git
Jenkins
Python
Snowflake
SQL
Vertica
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