Data Platform - Senior Data Engineer

Renault Nissan Technology & Business Centre India; Chennai District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Renault Nissan Technology & Business Centre India is seeking a Senior Data Engineer to design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong hands-on experience building modern Lakehouse solutions using Dataflow, Dataform, BigQuery and Pub/Sub to support analytics, reporting, and AI-driven data products.

The role will work closely with Data Architects, Data Governance, Analytics Engineers, BI

Qualifications

• 6+ years of experience as a Data Engineer.
• Experience designing, developing, and supporting scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP).
• Experience building Lakehouse solutions using Dataflow, Dataform, BigQuery and Pub/Sub.

Responsibilities

• Collaborate with Data Architects, Data Governance, Analytics Engineers, BI Developers and Business Teams to deliver reliable, secure, and high-performance data solutions.
• Design, develop, and optimize data ingestion and transformation pipelines on GCP to support analytics and AI-driven data products.

Skills

BigQuery

Dataflow

Dataform

Pub/Sub

Cloud Storage

Dataplex

Data Catalog

Analytics Hub

Monitoring & Logging

IAM & Security

Job description

Role Summary

We are looking for a highly motivated Data Engineer to design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong experience in building modern Lakehouse solutions using Dataflow, Dataform, BigQuery, and Pub/Sub while supporting analytics, reporting, and AI-driven data products.

Senior Data Engineer

Experience: 6+ Years

Role Summary

We are looking for a highly motivated Data Engineer to design, develop, and support scalable data ingestion and transformation pipelines on Google Cloud Platform (GCP). The ideal candidate will have strong experience in building modern Lakehouse solutions using Dataflow, Dataform, BigQuery, and Pub/Sub while supporting analytics, reporting, and AI-driven data products.

The role will work closely with Data Architects, Data Governance, Analytics Engineers, BI Developers, and Business Teams to deliver reliable, secure, and high-performance data solutions.

Required Technical Skills

Google Cloud Platform (GCP)

Strong Hands-on Experience In

• BigQuery (advanced optimization and tuning)
• Dataflow (batch & streaming pipelines)
• Dataform (SQL-based transformations)
• Pub/Sub (event-driven architectures)
• Cloud Storage (GCS)
• Dataplex / Data Catalog
• Analytics Hub (data sharing)
• Cloud Monitoring & Logging
• IAM & Security controls

Data Engineering

• Batch and streaming data processing
• ETL / ELT pipeline design and implementation
• Data ingestion frameworks (config-driven approach preferred)
• CDC and incremental processing
• Data lakehouse architecture concepts
• Data modeling and warehousing principles

Programming

• Python
• Advanced SQL
• Java or Scala (preferred)
• Scripting and automation

Preferred Certifications

Google Cloud

• Google Professional Data Engineer
• Google Associate Data Practitioner