Company Name:-
Adobe

Job Location:-
Noida, Uttar Pradesh

Job Summary:-
Our Company

Changing the world through digital experiences is what Adobe’s all about.

We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!Position Summary:
Working as a team member on the PS Analytics & Insights team, you will provide technical support to our primary reporting and analytics platform, supporting Adobe’s Global DX Professional Services organization.

Reporting into the Manager of Business Intelligence, you will be responsible for providing architectural support to meet the needs of a fast-paced organization.

You will be well-versed in full-stack Business Intelligence solutions, including but not limited to database architecture, data pipeline management, data modeling, and report development.

You will have expert SQL skills, and demonstrated experience with various performance tuning techniques.

You are a detail-oriented architect with an extensive knowledge of Business Intelligence and data engineering tools and approaches, primarily focused on scale and quality.

You are innovative, creative, and can anticipate challenges before they occur.

Your ability to foster relationships across the business will allow you to reduce scope ambiguity and deliver collaborative wins.

Responsibilities:
Execute against a technical roadmap aimed at the long-term scale of our Business Intelligence platform.

Translate complex business requirements into technical solutions.

Work with a team of Business Intelligence Architects to develop and optimize a centralized Data Warehouse to support various analytical data cubes.

Create data pipelines (ETL, ELT) to blend disparate data sources together.

Maintain technical standards and documents (Data Dictionary, development style guide, ERD, etc.

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