Senior Analytics Engineer

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EXL

10,000+ employees

💰 $2M Venture Round on 2015-01

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

📋 Description

• 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. • AWS certifications (Data Analytics Specialty, Security Specialty, Solutions Architect Professional) preferred. • Experience with data quality frameworks (Great Expectations, dbt, Monte Carlo), and regulated industries (healthcare, financial services).

🏖️ Benefits

• bonus • benefits

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