Senior Data Analyst role for a client of Weekday, responsible for designing, developing, and managing scalable data pipelines, developing ETL/ELT workflows, and conducting in-depth data analysis.
Requirements
- Minimum of 4 years' experience in Data Analytics or Data Engineering roles
- Expertise in SQL along with practical experience working with both relational and NoSQL databases
- Advanced proficiency in Python and PySpark for large-scale data processing tasks
- Demonstrated experience building and managing ETL pipelines using tools like Airflow, AWS Glue, or similar platforms
- Strong knowledge of data modeling concepts and techniques for performance optimization
- Hands-on experience with AWS data services such as S3, EMR, Redshift, Athena, and RDS
- Ability to independently handle complex data challenges from start to finish and effectively influence cross-functional teams
Benefits
- Health Insurance
- Retirement Plan
- Generous Paid Time Off
- Visa Sponsorship