Data Engineer

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• Design, build, and maintain cloud-native data pipelines and analytics capabilities on an AWS-based big data platform.
• Develop and troubleshoot data engineering, integration, visualization, and ML/AI workflows using AWS services such as Glue, Lambda, Redshift, EMR, Sage Maker, and Quick Sight.
• Collaborate closely with data scientists to enable data analysis, visualization, and machine learning model development.
• Provide technical leadership and work cross-functionally with engineers, architects, analysts, and developers to align data architecture across projects.
• Implement Dev Ops and Infrastructure-as-Code practices using tools like Terraform, Ansible, or AWS CDK to support secure, scalable deployments.
• Support code quality, security, and reliability through peer reviews, vulnerability management, and occasional production support.
• Design and optimize big data and streaming solutions using technologies such as Spark, Hadoop, and relational databases, particularly Redshift.
• Operate within agile teams, partnering with product owners and engineering leaders to align business goals with technical solutions.

• Mid-Senior level

• Contract

• Information Technology

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• Medical insurance
• Vision insurance
• 401(k)
• Paid maternity leave
• Disability insurance

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