Senior Engineer - Data Platform - Data Engineer

Renault Nissan Technology & Business Centre India; Chennai District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Renault Nissan Technology & Business Centre India is seeking a Senior Data Engineer to design, build, and support scalable data ingestion and transformation pipelines on Google Cloud Platform. The role focuses on Lakehouse architectures using Dataflow, Dataform, BigQuery, and Pub/Sub, delivering reliable analytics, AI-ready data products, and secure data solutions.

You will collaborate with Data Architects, governance teams, BI developers, and business stakeholders to ensure performance and

Qualifications

• Experience with designing scalable data pipelines on GCP.
• Strong experience in lakehouse architectures (Dataflow, Dataform, BigQuery, Pub/Sub).
• Proficient in Python and advanced SQL for analytics and data modeling.
• Knowledge of data governance, security, and monitoring best practices.

Responsibilities

• Design, develop, and support scalable data ingestion and transformation pipelines on GCP.
• Build lakehouse solutions using Dataflow, Dataform, BigQuery and Pub/Sub.
• Collaborate with data architects, governance, analytics engineers, BI developers, and business teams.
• Deliver reliable, secure, and high-performance data solutions for analytics and AI data products.

Skills

BigQuery

Dataflow

Dataform

Pub/Sub

Python

SQL

Java/Scala

Data Modeling

ETL/ELT

Batch/Streaming

Tools

Cloud Storage (GCS)

Dataplex

Data Catalog

Analytics Hub

IAM & Security controls

Job description

Job Description:

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