Senior Analytics Engineer

EXL

Senior Analytics Engineer architecting, building, and operating secure data pipelines in AWS cloud. Leading compliance with data governance standards across analytics integrations.

Posted 6/30/2026full-timeRemote • 🇨🇦 CanadaSenior💰 CA$110,000 - CA$130,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting fault-tolerant data pipelines within AWS, implementing governance frameworks, and ensuring compliance with regulatory standards. Proficient in SQL, Python, and CI/CD practices for data infrastructure.

Highest-signal resume keywords

AWS Data EngineeringSQL ExpertisePython (PySpark, Pandas, Boto3)Governance Framework ImplementationCI/CD Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingAPI IntegrationBatch ProcessingReal-Time ProcessingData Security PrinciplesInfrastructure as Code (IaC)Data Quality FrameworksTechnical DocumentationCode ReviewMentoring

Soft Skills

LeadershipCollaborationMentoring

Tools & Technologies

AWSCloudFormationTerraformCDKGreat ExpectationsDbtMonte Carlo

Certifications & Qualifications

AWS Data Analytics SpecialtyAWS Security SpecialtyAWS Solutions Architect Professional

Industry Keywords

ComplianceHIPAASOC 2GDPRCCPAHealthcareFinancial Services

Tech Stack

Tools & technologies

AWSPandasPySparkPythonSQLTerraformVault

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

bonus
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