Consultant, Data Engineering

Dell Inc.

Bengaluru

On-site

INR 1,200,000 - 1,800,000

Full time

12 days ago

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Job summary

Dell Inc. in Bengaluru, India is seeking a Consultant in Data Engineering to lead high-impact data engineering projects, focusing on ingestion, transformation, and data product delivery.

You will own and ensure the quality of data pipelines and data products, collaborating closely with cross-functional teams. You will improve observability, drive standards adoption, and coordinate readiness for analytics and AI workloads through robust documentation and scalable solutions.

Responsibilities

  • Lead high-impact data engineering projects focusing on ingestion, transformation, and data product delivery.
  • Improve observability and quality, drive standards adoption, and ensure readiness for analytics and AI workloads.
  • Collaborate with stakeholders to deliver scalable solutions, robust documentation, and measurable value.

Job description

Consultant, 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, statisticalmethods,and models. What's more, we are in collaboration with leading academics, industryexperts,and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.

What you'll achieve:

As a Consultant, you will lead high-impact data engineering projects that strengthen ingestion, transformation, and data product delivery. You will improve observability and quality, drive standards adoption, and coordinate readiness for analytics and AI workloads. You will collaborate with stakeholders to deliver scalable solutions, robust documentation, and measurable value.

Build the pipelines that bring the outside world into the Knowledge & Intelligence layer - the governed knowledge spine that grounds AI agents on verified, provenance-backed facts. You own how data gets in: the contracts with upstream domain teams, the connectors and change-data-capture that move it, and the landing zone it arrives in. This is hands‑on data engineering where everything downstream depends on what you bring in - get the source contracts and ingestion solid and every system that reads this data can trust its inputs.

Join us to do the best work of your career and make a profound social impact as aConsultanton ourData Engineeringteam.

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