Company Name:-
Dell Technologies

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Senior Data Engineering Advisor
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 as a Senior Data Engineering Advisor on our Data Engineering team in Bangalore to do the best work of your career and make a profound social impact.

What you’ll achieve:
As a Senior Data Engineering Advisor, you will be responsible for developing technical tools and programs to automate the data management process, integrating medium to large structured data sets.

You will have the opportunity to partner with Data Scientists, Architects or Businesses to design strategic projects and improve complex processes.

You will:
Drive data engineering projects to optimize processes, proactively monitoring and managing data design tenets ensuring data quality
Collaborate with cross-functional teams to build assigned solutions, ensuring optimal extraction, transformation and loading of data
Build/maintain analysis, monitoring, and productivity tools for database engineering function.

Integrates medium to large structured data sets that meet business requirements
Proactively monitors and manages data design tenets and drives corrective actions regarding data quality issues
Responsible for data engineering project deliverables, timeline commitments and cost management
Builds assigned solutions within the infrastructure provided for optimal extraction, transformation, and loading of data from a limited set of structured data sources using specified data engineering tools
Follows data engineering process standards and participates in testing of new data engineering technologies, providing feedback to leadership for global data solutions
Drives assigned projects that deliver improvement any one of the following five data stages: ingestion, stori

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