Related skills
terraform aws sql s3 python📋 Description
- Design, develop, and maintain data pipelines and datastores for analytics and operations.
- Lead and support large-scale database migration initiatives, including on-premises to cloud migrations.
- Monitor, analyze, and optimize performance and stability of data layer services and platforms.
- Ensure data integrity, quality, and compliance across pipelines and datasets.
- Collaborate with peers across engineering, analytics, and technology teams.
- Guide, coach, and mentor data engineers, BI developers, and analysts.
🎯 Requirements
- 5+ years of experience in data engineering or data-centric roles.
- Strong experience designing and maintaining enterprise-scale data pipelines and platforms.
- Solid understanding of data warehousing concepts, modeling strategies, and analytical datasets.
- Proven experience with SQL-based data environments and performance tuning.
- Hands-on with cloud-based data platforms, particularly AWS.
- Experience with cloud-native technologies: S3, EMR/Spark, Lambda, Kinesis, Glue.
🎁 Benefits
- Salary in USD
- Flexible schedule (within US Time zones)
- 100% Remote
- High-impact role in a large-scale data migration and modernization initiative
- Collaboration with senior data engineering, analytics, and technology teams
- Opportunities for technical growth and increased ownership as the data platform evolves
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