About this role
Data Engineer II responsible for designing and operationalizing complex data solutions to support AI, ML, and BI initiatives; lead data engineering efforts across enterprise analytics.
Key Responsibilities
- Build and operationalize complex data solutions
- Design complex data solutions
- Analyze complex sources
- Incorporate data governance/security/quality
- Lead team and educate users
Technical Overview
Hands-on data engineering with strong SQL; cloud platforms (AWS/Azure/GCP); streaming data (Kafka/Kinesis/Event Hubs); data governance and quality tooling; actuarial/analytics domain experience.
Ideal Candidate
The ideal candidate is a senior data engineer with 12+ years of data engineering experience, strong SQL proficiency, and a track record of building analytics-ready data solutions in cloud environments for insurance domain data; cloud certifications and governance expertise are highly valued.
Must-Have Skills
Bachelor's degree in computer sciencerelated STEM fieldor its equivalent12 years of data engineering experienceHands-on data engineering experience with strong SQL proficiencyBackground in actuarial or analytics environments with familiarity in cloud-based platformsAbility to collaborate with both business and technical stakeholdersStrong problem solver with long-term solution thinkingExperience delivering data solutions in cloud environments
Nice-to-Have Skills
Cloud certifications: AWS Certified Data AnalyticsAzure Data Engineeror GCP Professional Data EngineerStreaming data platforms (KafkaKinesisEvent Hubs)Data governance frameworks and regulatory compliance (GDPRCCPASOX)Great ExpectationsDeequMonte CarloOpen-source contributionsAgile/Scrum methodologies
Tools & Platforms
Amazon Web ServicesMicrosoft AzureGoogle Cloud PlatformKafkaKinesisEvent HubsGreat ExpectationsDeequMonte CarloGitHub
Required Skills
SQL / PostgreSQLdata pipelinesdata transformationdata governancedata securitydata qualitycloud platformsAWSAzureGoogle Cloud PlatformKafkaKinesisEvent Hubsactuarial dataanalytics environmentsAgile/Scrum
Hard Skills
SQL / PostgreSQLAmazon Web ServicesMicrosoft AzureGoogle Cloud PlatformKafkaKinesisEvent HubsData governanceData securityData quality
Soft Skills
communicationleadershipcollaborationproblem solvingstakeholder management
Certifications
Required
AWS Certified Data Analytics - SpecialtyAzure Data Engineer AssociateGoogle Cloud Professional Data Engineer
Keywords for Your Resume
data engineer iidata analytics engineeringsqldata pipelinescloud platformsawsazuregoogle cloud platformkafkakinesisevent hubsdata governancegdprccpasoxactuarialanalytics environmentscloud certificationsgreat expectationsdeequmonte carloagilescrum
Deal Breakers
Lack of 12+ years data engineering experience, No experience with insurance domain data, Inability to work in a hybrid (onsite) environment
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