Technical Specialist
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Location
In office (Noida)
Seniority
Senior · 7+ years exp
Visa
Sponsors visas in Ireland; no register of this country names it
Confirmed on the employer's own hiring board on Nov 9, 2026. First seen by Alion on Nov 9, 2026.
Overview
Company
Impact
Profile match
HCLTech is an Indian information technology services and consulting company headquartered in Noida, Uttar Pradesh. Its roots lie in HCL, founded in 1976 by Shiv Nadar and partners, and the IT services business was set up as a separate company in 1991. It provides application development and maintenance, infrastructure and cloud services, cybersecurity, engineering and R&D services, and sells its own software products through HCLSoftware. The company employs more than 200,000 people in some 60 countries and is listed on the Indian stock exchanges.
Job Summary
Cloud Data Engineer
Role purpose
Prepare the controlled data and content foundations required by the three use cases.
Key responsibilities
- Profile approved MOSAIC and CLDW BigQuery tables and develop curated, read-only views.
- Standardize required measures, dimensions, naming and date fields and implement data-quality and reconciliation checks.
- Support query performance, AtScale connectivity and source-model validation.
- Prepare structured Enterprise Architecture application records and application-to-standard mappings in approved formats.
- Stage approved documents and structured files in the designated GCS location.
- Document source mappings, data limitations and SQL-based reconciliation evidence.
Required experience and skills
- 7+ years of data-engineering experience with strong BigQuery and SQL skills.
- Experience with GCS and structured file formats such as CSV and JSONL.
- Experience developing analytical views and validation queries.
- Familiarity with financial and healthcare analytical data.
- Basic Python or equivalent scripting capability.
- Experience supporting semantic-layer and AI or analytics integrations.
PoC staffing note: No new production ingestion pipelines or source-system integrations are included.
Key Responsibilities
Cloud Data Engineer
Role purpose
Prepare the controlled data and content foundations required by the three use cases.
Key responsibilities
- Profile approved MOSAIC and CLDW BigQuery tables and develop curated, read-only views.
- Standardize required measures, dimensions, naming and date fields and implement data-quality and reconciliation checks.
- Support query performance, AtScale connectivity and source-model validation.
- Prepare structured Enterprise Architecture application records and application-to-standard mappings in approved formats.
- Stage approved documents and structured files in the designated GCS location.
- Document source mappings, data limitations and SQL-based reconciliation evidence.
Required experience and skills
- 7+ years of data-engineering experience with strong BigQuery and SQL skills.
- Experience with GCS and structured file formats such as CSV and JSONL.
- Experience developing analytical views and validation queries.
- Familiarity with financial and healthcare analytical data.
- Basic Python or equivalent scripting capability.
- Experience supporting semantic-layer and AI or analytics integrations.
PoC staffing note: No new production ingestion pipelines or source-system integrations are included.
Skill Requirements
Other Requirements
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