ASSPL
Data Science, Data Engineering, finance
DataEngineer,AmazonOperationsFinanceStandardisationandAutomation
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer, Amazon Operations Finance Standardisation and Automation at ASSPL. Skills: Data Engineering, AWS, Data Modeling. Elevate existing solutions. Optimize existing solutions”
Industry & Context.
Problem identification; Solution definition; Root cause analysis
What They're Looking For.
Must Have
5+ years of SQL experience, 3+ years of data engineering experience, Experience with data modeling, Experience building ETL pipelines, 5+ years of data modeling practice, Working knowledge of trade-offs in data model designs, Platform-specific considerations with concentration in Redshift, MySQL, EMR/Spark
Nice to Have
Experience with AWS technologies, Experience with non-relational databases, Experience working in a cloud based development and production environment, Data Governance frameworks experience, Compliance frameworks experience, SOX experience
What You'll Do.
Elevate existing solutions
Optimize existing solutions
Drive strategic migration
Conduct impact assessments
Identify opportunities for re-architecture
Identify opportunities for migration
Design data solutions
Review data solutions
Implement data solutions
Support data solutions adoption
Identify adoption blockers
Remove adoption blockers
Ensure speed of delivery
Ensure high-quality delivery
Iteratively improve development process
Adopt mechanisms for optimisation
Contribute into engineering excellence
Contribute to delivery execution
Contribute to planning
Contribute to operational excellence
Contribute to retrospectives
Contribute to problem identification
Contribute to solution definition
Create technical documentation
Create customer-facing documentation
Elevate existing data platforms
Implement data solutions
Solve customer pain points
Establish development processes
Establish change management processes
How You'll Work.
Team & Collaboration
Cross-team collaboration; Finance analysts; Engineers; Product managers; Program managers; External teams; Engineering teams; Product teams; BI teams; Operations teams; Stakeholders
Communication Scope
Technical documentation; Customer-facing documentation
Process & Methodology
Project plans
Full Job Description
As a Data Engineer in International Data Delivery group, you will play a key role in transforming the way Operations Finance teams access and analyses data. You will work to advance Data Infrastructure Modernization strategy and play a key role in adopting and expanding a centralized data platform for RoW markets with scalable governance and observability frameworks that follow modern data architecture and cloud-first designs. Your responsibilities will include supporting and migrating data analytics use cases of a targeted customer group and new features implementations within the central platform: component design, implementation using NAWS services that follow best engineering practices, user acceptance testing, launch, adoption and post-launch support. You will work on system design and integrate new components to established architecture. You will be engaged into cross-team collaboration by building reusable design patterns and components and adopting designs adopted by others. You will contribute to “buy” vs “build” decision by evaluating latest product and features releases for NAWS and internal products, perform gap analysis and define feasibility of their adoption and the list of blockers. The ideal candidate possess a track record of creating efficient AWS-based data solutions; data models for both relational databases and Glue/Athena/EMR stack; developing solution documentation, project plans, user guides and other project documentation. We are looking into individual contributor inspired to become data systems architects. Track of production level deliverables leveraging GenAI is big plus. Key job responsibilities * Elevate and optimize existing solutions while driving strategic migration. Conduct thorough impact assessments to identify opportunities for transformative re-architecture or migration to central platforms. Your insights will shape the technology roadmap, ensuring we make progress towards deprecation goals while providing best customer servic
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