Company Name:-
Dell Technologies

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Analyst/Sr Analyst, Data Engineering
Data Science is all about breaking new ground to enable businesses to answer their most urgent questions.

Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models.

What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

Join us to do the best work of your career and make a profound social impact as a Analyst/Sr Analyst, Data Engineering on our Data Engineering team in Bangalore.

What you’ll achieve
As a member of DAA (Data, Analytics and Automation) organization, this role is responsible for providing data engineering and analytical support to Dell Supply Chain Organization by building data solutions and providing insight to support data driven business decisions.

You will:
Perform exploratory data analysis, design & develop analytical data solutions, data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across supply chain processes.

Distill formal/informal requirements into problem definitions, dealing with ambiguity and competing objectives.

Provide innovative & business applicable data visualization using visualization tool – Power BI.

Design, build and launch data ETL processes, maintain databases, ETL jobs, cleansing and validating data as needed data, support existing processes running in production.

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table.

Here’s what we are looking for with this role:
Essential Requirements
Bachelor’s degree or higher in an engineering or technical area such as Computer Science, Information Technology, Mathematics, Statistics or equivalent.

3+ years of professional experience on data warehouse, infrastructure components, ETL/ELT development, data structures and reporting/analytics tools and environments.

Database management systems with proficiency in data mining, data transf

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