Senior Data Engineer - Delta Lake on GCP + Clean Rooms

Capgemini; New York (NY); Hybrid; USD 86,000 - 127,000; Full time

Benefits offered by this job

Paid time off

Retirement savings plan

Health insurance

Life and disability insurance

Employee assistance program

Job summary

Capgemini is seeking a senior data engineer to design and operate data ingestion pipelines, enriching datasets with identity graphs and structured events. The role centers on building Bronze to Silver processing tiers, implementing OCR and data quality checks, and maintaining governance across Unity Catalog.

Hybrid work in New York is offered with a comprehensive benefits package. The ideal candidate has 5+ years of data engineering, proficiency in Databricks, SQL, Python, and experience with

Qualifications

• 5+ years of data engineering experience in production environments.
• Experience with Databricks Delta Lake and Unity Catalog.
• Strong SQL and Python for transformation logic and data quality automation.

Responsibilities

• Ingest data into Delta raw landing zone on GCS using Lakeflow and connectors.
• Ingest signals, events, and identity graphs (LiveRamp RampID, UID2, GCLID).
• Enforce and evolve schema at landing boundary with controlled surfaces.

Skills

Data engineering

SQL

Python

GCP

BigQuery

Cloud Run

Databricks

Unity Catalog

Lakeflow

DLT

CI/CD

IAC (infrastructure as code)

Tools

Databricks

Lakeflow

DLT

Unity Catalog

Job description

Capgemini is seeking a senior data engineer to design and operate data ingestion pipelines, enriching datasets with identity graphs and structured events. The role centers on building Bronze to Silver processing tiers, implementing OCR and data quality checks, and maintaining governance across Unity Catalog.

Hybrid work in New York is offered with a comprehensive benefits package. The ideal candidate has 5+ years of data engineering, proficiency in Databricks, SQL, Python, and experience with