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Tier-1 brand, metro role, and a generalist Data Engineer title increase candidate competition.
Core data engineering skills are broadly transferable across industries despite AI Ops/payment context.
Requires significant data engineering experience, platform skills, and Cloudera/ML operationalization, implying moderate filtering.
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Lead the design and development of scalable data pipelines and solutions to support operational visibility and analytics in AI Ops and related teams.
Provide technical leadership including code reviews, setting engineering standards, and mentoring junior engineers.
Contribute to strategic planning, driving innovation, and establishing best practices for data quality, security, and resiliency.
Significant experience in data engineering including scalable data pipelines for diverse data types.
Proven leadership in technical design, code reviews, and engineering standards.
Hands-on experience with modern data engineering tools, cloud/enterprise platforms, monitoring, and secure data processing; experience with Cloudera desirable.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced technical leader comfortable influencing diverse stakeholders and translating complex technical concepts.
Demonstrated ability mentoring and collaborating across technical, operational, and business teams to execute roadmaps and governance.
Familiarity with AI Ops, machine learning model operationalization, and modern data solution best practices in a large-scale enterprise environment.