Company Name:-
Adidas

Job Location:-
Gurgaon, Haryana

Job Summary:-
Data engineer builds and optimizes the systems that allow perform proper analytics.

They are responsible for the accuracy of the data as well as making it accessible to individuals who need to work with it.

The data engineer ensures that any data is properly received, transformed, stored, and made accessible to other users.

Key Responsibilities:
AnalyticsEvaluates the need for analytics, assesses the problems to be solved and what internal or external data sources to use or acquire.

Specifies and applies appropriate mathematical, statistical, predictive modelling or machine-learning techniques to analyze data, generate insights, create value and support decision-making.

Manages reviews of the benefits and value of analytics techniques and tools and recommends improvements.

Contributes to the development of analytics policy, standards and guidelines.

Consultancy
Takes responsibility for understanding client requirements, collecting data, delivering analysis and problem resolution.

Identifies, evaluates and recommends options, implementing if required.

Collaborates with, and facilitates stakeholder groups, as part of formal or informal consultancy agreements.

Seeks to fully address client needs, enhancing the capabilities and effectiveness of client personnel, by ensuring that proposed solutions are properly understood and appropriately exploited.

Specialist advice
Actively maintains recognized expert level knowledge in one or more identifiable specialisms.

Provides definitive and expert advice in their specialist area(s).

Oversees the provision of specialist advice by others, consolidates expertise from multiple sources, including third party experts, to provide coherent advice to further organizational objectives.

Supports and promotes the development and sharing of specialist knowledge within the organization.

Emerging technology monitoring
Monitors the external environment to gather intelligence on emerging technologies.

Assesses and documents the impacts, threats and opportunities to the organization.

Creates reports and technology roadmaps and shares knowledge and insights with others.

Data Modelling & DesignSets standards for data modelling and design tools and techniques, advises on their application, and ens

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