ADCI HYD 13 SEZ

Financial Services

DataEngineeringManager

₹25–45L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“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.

Financial Services
Problems you'll solve

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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