Senior Data Engineer (Redshift)

📋 Description

• Build and maintain scalable ETL/ELT pipelines.
• Design data models to support reporting and analytics.
• Collaborate with data analysts, PMs, and engineers.
• Implement data quality checks and monitoring.
• Improve pipeline performance and storage efficiency.
• Follow security and compliance best practices for data.

🎯 Requirements

• 4+ years in data engineering or backend development.
• 2-3+ years with AWS; Redshift administration required.
• AWS services: Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS.
• Proficient in Python and SQL for data transformation.
• Experience with dbt for data modeling.
• CI/CD for data workflows; familiarity with event schema tools.

🎁 Benefits

• Grow Together: culture that supports growth.
• Lead by Example: empowered leadership.
• Results-driven: meaningful outcomes.
• We Are Well-Makers: healthier, happier world.