Technical Specialist
India
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Job Description
Technical Specialist
Noida, Uttar Pradesh

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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Information at a Glance

Why HCLTech?

At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first.

HCLTech is a global technology company, home to more than 230,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending September 2026 totaled $14.8 billion.