Senior Data Engineer - GCP

AuxoAI Inc.; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

A leading technology firm in Bengaluru is seeking a Senior Data Engineer to design and build scalable data platforms on Google Cloud. You will own data pipeline engineering, collaborating with architects and data scientists. The ideal candidate has strong experience in data engineering, GCP tools like BigQuery and Dataflow, and is proficient in SQL and Python. This role emphasizes best practices across data pipelines, ensuring performance, reliability, and data quality.

Qualifications

• Design and development of production-grade data pipelines.
• Hands-on experience with batch and streaming architectures.
• Proficiency in SQL and Python.

Responsibilities

• Design, build, and optimize scalable data pipelines.
• Develop and manage workflow orchestration.
• Implement data quality checks and monitoring.

Skills

Data Engineering

GCP Data Platform

Technical Foundation

Tools

BigQuery

Dataflow / Apache Beam

Airflow

Git

Cloud Storage

Pub/Sub

Job description

AuxoAI Engineering Pvt. Ltd. | Full time

Bangalore North, India | Posted on 12/19/2025

Auxo is looking for a Senior Data Engineer – GCP Native Platform to design, build, and operate scalable, production-grade data platforms for our enterprise clients.

This is a hands-on delivery role, not a support function. You will own end-to-end data pipeline engineering on Google Cloud Platform, embedding best-in-class data engineering practices across batch and streaming workloads, while working closely with architects, analysts, and data scientists.

Responsibilities

• Design, build, and optimize scalable batch and streaming data pipelines using Dataflow (Apache Beam)
  
• Develop and manage workflow orchestration using Airflow on Cloud Composer
  
• Implement ELT transformations using Dataform for SQL-based data modeling and transformations
  
• Design and maintain BigQuery datasets following layered / medallion architecture patterns
  
• Implement event-driven ingestion and CDC patterns using Pub/Sub
  
• Partner with architects to implement technical designs, standards, and platform best practices
  
• Ensure performance optimization, reliability, monitoring, and cost efficiency of data pipelines
  
• Implement data quality checks, validations, and monitoring within pipelines
  
• Support production deployments, incident resolution, and operational stability
  
• Mentor junior engineers and contribute to engineering excellence across the team
  
  

Requirements

Required Skills & Experience

Data Engineering (Strong Hands-on Experience)

• Design and development of production-grade data pipelines
  
• Batch and streaming data processing architectures
  
• Workflow orchestration and dependency management
  
• Data modeling, schema design, and performance optimization
  
• Pipeline monitoring, troubleshooting, and cost optimization
  

GCP Data Platform

• Hands-on experience with BigQuery (advanced SQL, partitioning, clustering, optimization)
  
• Strong experience with Dataflow / Apache Beam (Python or Java)
  
• Experience with Cloud Composer / Airflow
  
• Experience with Pub/Sub and Cloud Storage
  

Technical Foundation

• Strong proficiency in SQL and Python (Java is a plus)
  
• Solid understanding of ETL/ELT patterns and modern data stack concepts
  
• Experience with Git-based version control and CI/CD pipelines
  
• Working knowledge of cloud monitoring and logging
  

Preferred Qualifications

• Experience with GCP Professional Data Engineer certification
  
• Exposure to Dataform or dbt for transformation workflows
  
• Experience with real-time streaming architectures
  
• Familiarity with Vertex AI, Cloud Functions, or Dataproc
  
• Understanding of data governance concepts and platforms (Dataplex, Atlan, Collibra)
  
• Experience with legacy-to-cloud data migrations