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Consultant, Data Engineering

Dell Technologies · Posted Oct 16

Enterprise infrastructure, personal computers, servers, storage, and cloud technology solutions

Bengaluru, Karnataka, IndiaFull-timeOnsiteSenior Level12–15 years₹40.0L–₹65.0L yearly<25 applicants
HardwareCloud ComputingArtificial IntelligenceEnterprise SoftwareInformation TechnologyPublic Company
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About the role

Data Science at Dell Technologies pioneers massively parallel, data-intensive analytic processing, collaborating with leading academics, industry experts, and skilled engineers to help customers generate insights from petabyte-scale data. This Consultant role on the Data Engineering team builds 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. The role owns source and publishing contracts, connectors and change-data-capture, the raw landing zone, ingestion observability, and grounding discipline for data arriving from upstream domain teams.

What you will do

  • Source & publishing contracts. Negotiate schema, freshness SLAs, and change-notice with upstream domain teams - and hold them to it. These contracts are what keep the layer trustworthy.
  • Connectors & ingestion. Build and operate the connectors and change-data-capture that land upstream sources into the lake, reliably and on their freshness SLA.
  • The landing zone. Own the raw landing layer - structure, partitioning, and a clean handoff to the medallion pipeline.
  • Ingestion observability. Know when a source breaks, drifts, or goes stale - before anything downstream does.
  • Grounding discipline. Nothing lands ungrounded; provenance travels with every record from the moment it arrives.

Skills used in this role

PythonData LakeChange Data CaptureCloud Data PlatformsData PipelinesPartitioningStakeholder Communication

What the employer is looking for

  • Senior / staff-level, hands-on depth in data sourcing and ingestion - the core discipline of this role. Comes with 12-15 years of experience.
  • Strong Python - your primary language for building and operating pipelines, connectors, and tooling.
  • A track record of landing diverse upstream sources into a data lake reliably and on their freshness SLA. Proven experience handling data at high volume, with real attention to cost, partitioning, and performance.
  • A provenance mindset — “where did this come from” travels with every record you land.
  • Strong collaboration and stakeholder communication with upstream domain teams.

Preferred qualifications

  • Bachelor’s degree in Computer Science, Data Engineering, or related field; advanced degree preferred.
  • Certifications or vendor credentials for cloud data platforms.

Benefits and support

  • Compensation and benefits are detailed in the job posting

About Dell Technologies

Dell Technologies is a multinational technology company that develops, sells, repairs, and supports computers and related products and services. The company provides foundational infrastructure for enterprises, ranging from personal computers and servers to cutting-edge AI factories and cloud data solutions.

Industry
Hardware
Company size
10001+ employees
Founded
1984
Location
Round Rock, Texas, USA
Funding stage
Public Company

Leadership

MD
Michael Dell

Chairman and Chief Executive Officer

JC
Jeff Clarke

Vice Chairman and Chief Operating Officer

DK

David Kennedy

Chief Financial Officer

JR

John Roese

Global Chief Technology Officer & Chief AI Officer

JS

Jennifer Saavedra

Chief Human Resources Officer

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