Consultant, Data Engineering
Dell Technologies3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Negotiate and enforce source and publishing contracts covering schemas, freshness SLAs, and change notices.
- Build and operate connectors and change-data-capture processes that reliably land upstream data in the lake.
- Own the raw landing layer, including structure, partitioning, and handoff to the medallion pipeline.
- Monitor ingestion for source failures, schema drift, and stale data before downstream impact occurs.
- Ensure provenance is captured and retained with every landed record.
- Lead data engineering projects that improve ingestion, transformation, observability, quality, standards adoption, and readiness for analytics and AI workloads.
Requirements
- 12–15 years of senior/staff-level hands-on experience in data sourcing and ingestion.
- Strong Python skills for building and operating pipelines, connectors, and tooling.
- Experience landing diverse upstream sources in a data lake reliably against freshness SLAs.
- Experience handling high-volume data with attention to cost, partitioning, and performance.
- A strong provenance mindset and ability to track where data originated.
- Strong collaboration and stakeholder communication skills with upstream domain teams.
- Bachelor’s degree in Computer Science, Data Engineering, or a related field is desirable; an advanced degree is preferred.
- Certifications or vendor credentials for cloud data platforms are desirable.
Tech Stack
Categories
Data Engineering
About Dell Technologies
Dell Technologies builds PCs, monitors, and peripherals for consumers and enterprises, and provides servers, storage, networking, and edge solutions for data centers. It sells hardware, software, and support services through direct, channel, and online models to organizations of all sizes and the public sector. Founded in 1984 and headquartered in Round Rock, Texas, it includes the former EMC storage business and operates globally across client computing and infrastructure markets.