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 robust 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 recent production ingestion pipelines or source-system integrations are included.

Skill Requirements

Must Have Skill

Google Cloud Storage,HealthCare Data Analytics,JSON,Python,Google BigQuery

Good to Have Skill

Other Requirements

📌 Technical Specialist (Noida)
🏢 HCLTech
📍 Noida