Data Engineering Manager

Amazon

Bengaluru, KA, IN
Not specified; not specified; not specified
On-site
Data lake architecture with s3
Olap-based analytics layer design
Metadata management and lineage tracking
Amazon is seeking a Data Engineering Manager in Bengaluru to lead the development of data and analytics platforms for its Risk and Compliance Solutions (RCS) products. The ideal candidate will have a strong technical background in data engineering and a customer-focused mindset to enhance compliance operations through innovative technology solutions

Job Summary

  • This role is critical for scaling compliance operations through technology while reducing manual processes for Amazon's Risk and Compliance Solutions.
  • The successful candidate will architect a cost-optimized S3-based Data Lake that unifies structured and unstructured data from disparate sources.
  • You will lead a cross-functional global team to establish automated compliance validation frameworks ensuring all data handling meets strict security standards.

Matching Summary

Match Score: 85

Amazon is seeking a Data Engineering Manager in Bengaluru to lead the development of data and analytics platforms for its Risk and Compliance Solutions (RCS) products. The ideal candidate will have a strong technical background in data engineering and a customer-focused mindset to enhance compliance operations through innovative technology solutions.

Salary

Not specified; Not specified; Not specified

Skills & Requirements

Must-have

  • Data Lake architecture with S3
  • OLAP-based analytics layer design
  • Metadata management and lineage tracking
  • Data quality frameworks and validation
  • Scalable data pipeline implementation
  • Team mentorship and technical leadership

Nice-to-have

  • Strong business acumen in risk domains
  • Experience with Compliance as a Service
  • Automation solution-oriented mindset
  • Cross-functional global stakeholder collaboration
  • Customer delight obsession

Key Requirements

  • Sound technical background in data domain
  • Proven experience as an engineering leader
  • Ability to work backwards from business problems

Work Rights

Not specified

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