Senior Analytics Engineer architecting, building, and operating secure data pipelines in AWS cloud. Leading compliance with data governance standards across analytics integrations.
Responsibilities
Architect production-grade, fault-tolerant batch and real-time data pipelines within a compliance-governed AWS environment.
Lead data modeling (dimensional, SCD, data vault) and build API/file-based integrations with encryption and audit logging at every point.
Build CI/CD pipelines for data infrastructure with mandatory security scanning and approval gates.
Conduct code reviews, mentor engineers, and produce technical documentation including ADRs, runbooks, and compliance evidence packages.
Requirements
Bachelor’s degree in Computer Science, Data Engineering, or related field; 7+ years in Analytics/Data Engineering.
Expert SQL and Python (PySpark, Pandas, Boto3); deep AWS experience across the data, security, and governance stack.
Demonstrated experience implementing governance frameworks and regulatory compliance controls (HIPAA, SOC 2, GDPR, CCPA) in production.
Experience with IaC (CloudFormation, Terraform, CDK), CI/CD for data pipelines, and data security principles.
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