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Remote, common Data Engineer title with broad required skills and mid-level profile increases applicant competition.
Core data engineering skills are transferable, though financial-crime and regulated environment exposure raises domain specificity.
No explicit years but multiple mandatory technical skills and production support requirements imply moderate filtering.
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Support, enhance, and evolve critical data platforms underpinning Financial Crime Risk and Legal & Corporate Tech.
Design, develop, and maintain scalable, resilient data pipelines integrating multiple internal and external data sources.
Ensure operational stability of production data systems including troubleshooting, incident management, and on-call support.
Strong hands-on experience in enterprise-scale data engineering solutions.
Advanced SQL and strong Python development skills for data processing and automation.
Experience with AWS cloud services including S3, RDS, EKS, EC2, Lambda, and IAM.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in building and maintaining complex ETL/ELT pipelines and data quality frameworks in regulated environments such as financial services.
Comfortable balancing delivery deadlines with operational stability and resilience of production platforms.
Skilled in collaborating with cross-functional teams including data architects, platform engineers, and business stakeholders to deliver high-quality data solutions.