ADCI HYD 13 SEZ
Financial Services
DataEngineeringManager
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“Data Engineering Manager at ADCI HYD 13 SEZ. Skills: Data Engineering, Analytics Platform, Risk and Compliance, Data Lake. Architect and implement S3-based Data Lake. Implement scalable analytics layer”
What You'll Achieve.
Scale compliance operations; Reduce manual processes; Enable global expansion; Maintain regulatory compliance; Optimize cost; Optimize performance; Ensure secure solutions; Ensure compliant solutions
Industry & Context.
Analytical; Customer-focused; Business problem; Formulate solution
What They're Looking For.
Must Have
5+ years data engineering experience, Experience managing data/BI team, 5+ years processing data with massively parallel technology, Experience communicating to senior management, Experience leading data/BI strategy, Experience in scripting or programming language, 2+ years relational database technology experience, 2+ years developing/operating large-scale data structures for BI analytics
Nice to Have
Big data technologies experience, AWS Tools and Technologies experience
What You'll Do.
Architect and implement S3-based Data Lake
Implement scalable analytics layer
Establish metadata management
Automate data classification
Architect centralized metrics repository
Implement data quality frameworks
Automate data validation
Design extensible metrics schemas
Support AI retrieval patterns
Establish automated compliance validation
Ensure data handling meets security standards
Architect and implement data pipelines
Implement data infrastructure
Support analytics at scale
Design data modeling standards
Enforce governance frameworks
Ensure secure solutions
Ensure compliant solutions
Lead technical design reviews
Evaluate emerging technologies
Drive engineering best practices
Foster technical excellence
Empower team self-service
Handle complex data tasks
Collaborate with global team
Prioritize RCS data and analytics
Architect analytics solutions
Deliver analytics solutions
Gather data and analytics requirements
Transform requirements into presentations
Collaborate with global stakeholders
Represent data and analytics team
How You'll Work.
Team & Collaboration
Cross functional global team; Product managers; Engineers; Stakeholders
Communication Scope
Communicate verbally; Communicate in writing
Process & Methodology
Roadmap prioritization, Sprints, OP1, OP2, WTR, MTR, QTR
Full Job Description
We're seeking an experienced Data Engineering Manager to build data & analytics platform for Risk and Compliance Solutions (RCS) products. RCS serves as a crucial safeguard for Amazon's buyers, brands, and selling partners while ensuring business teams meet their regulatory obligations. Operating under the Three Lines of Defense (3LoD) model, RCS functions as the second line of defense, providing specialized oversight, monitoring, and expertise while setting policies and procedures that guide Amazon's compliance framework. RCS's mission is to leverage specialist industry insights and Amazon's unique way to scale through technology, delighting customers through tailored compliance solutions. RCS's work spans multiple critical areas, including enabling Amazon's financial services expansion through streamlined license acquisition, managing existing business risks, delivering comprehensive governance, risk, and assurance services across Amazon, developing innovative solutions like Compliance as a Service (CaaS) and transforming compliance operations into a proactive, intelligence-led framework. This role is critical for RCS's mission to scale compliance operations through technology, reduce manual processes, and enable Amazon's global expansion while maintaining regulatory compliance. The role sits in the sweet spot between technology and business worlds and provides opportunities for learning, growth, high business impact, and working with seasoned global business leaders. The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused engineering leader who will play a key role in continuous improvement for the critical systems that enable our entire RCS business. An ideal candidate will be someone with sound technical background in data domain (storage, processing, and analytics), has solid business acumen, and has strong automation solution-oriented thought process. Will be a self-starter who can start with a business problem and wo
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