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- Drive the design and delivery of scalable cloud-based data solutions using AWS native services.
- Shape data architecture and establish engineering standards for enterprise platforms.
Key Responsibilities:
- Lead the development of data pipelines with AWS Glue, EMR, S3, Python, and PySpark.
- Optimize performance, data quality, and scalability while conducting code reviews.
Requirements:
- Strong experience in AWS data engineering, Python, PySpark, SQL, and ETL/ELT.
- Proven technical leadership and mentoring skills in complex enterprise environments.
Benefits:
- Permanent remote working model with flexible hours.
- Inclusive, diverse environment and professional growth opportunities.
Jobgether
A partner company of Jobgether is seeking a Data Engineering Lead to drive cloud-based data transformation. It offers a remote-first, flexible, and inclusive working environment with opportunities for professional growth.