Data Engineering Leader
3 days ago
About the Role
We are seeking a highly skilled Data Engineering Leader to join our team at Women Entrepreneur Network. This is a senior-level position that requires expertise in designing, building, and optimizing data pipelines and workflows.
Key Responsibilities:
- Design and develop scalable data pipelines for data processing and storage.
- Utilize PySpark and SQL for large data set processing and transformations.
- Build ETL/ELT processes to integrate data from multiple sources.
- Implement and automate workflows using Airflow.
- Manage big data processing with AWS EMR for optimized performance.
- Evaluate and ensure data quality, reliability, and compliance.
Requirements:
- 5+ years of experience in data engineering or related roles.
- Strong experience with Python and PySpark.
- Proficient in SQL for data manipulation.
- Experience with AWS EMR for big data solutions.
- Advanced knowledge of Airflow for workflow management.
Preferred Skills:
- Experience with additional AWS services (S3, Redshift).
- Knowledge of CI/CD practices for data engineering.
What We Offer:
- A competitive salary range of $140,000 - $200,000 per year.
- An opportunity to work with a dynamic team and contribute to the growth of Women Entrepreneur Network.
- A collaborative and innovative work environment.
How to Apply:
If you are passionate about building reliable data systems and enjoy working with large data sets, we encourage you to submit your application.
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