Senior Data Engineer - GCP

Shavish Group; Pune District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Shavish Group in Pune (Kharadi) seeks a Senior Data Engineer with deep GCP and BigQuery expertise to design and deliver enterprise-scale data platforms.

The role focuses on architecting data pipelines, optimizing large-scale processing, implementing robust ETL/ELT frameworks, and ensuring data governance. You will mentor junior engineers and partner with analytics, BI, and AI teams.

Qualifications

• Deep expertise in Google Cloud Platform and BigQuery
• Advanced SQL and data modeling skills
• Experience building ETL/ELT pipelines and data governance

Responsibilities

• Design scalable data architectures on GCP
• Build and optimize data pipelines with BigQuery
• Lead data modeling (dimensional models) and performance tuning
• Ensure data governance, security and compliance
• Mentor junior engineers and collaborate with analytics/AI teams

Skills

GCP expertise

BigQuery mastery

SQL proficiency

Python/Scala

Airflow

Tools

Dataflow

Pub/Sub

Dataproc

Cloud Storage

dbt

Job description

Sr. Data Engineer GCP - Face to face Interview at Pune , Kharadi at 24/10/2026.

Required : Immediate Joiner

Senior Data Engineer (GCP + BigQuery Expert)

Role Title: Senior Data Engineer

Experience: 610+ years

Location: Kharadi, Pune.

Department: Data Engineering

Role Overview We are seeking an experienced Senior Data Engineer with deep expertise in GCP and BigQuery to design and deliver enterprise-scale data platforms. The role involves architecting data pipelines, optimizing large-scale data processing, and enabling advanced analytics and AI use cases. The ideal candidate will bring strong experience in cloud-native data engineering, data modeling, and performance optimization. Key Responsibilities Design and implement scalable data architectures on Google Cloud Platform Build and optimize high-performance data pipelines using BigQuery Develop robust ETL/ELT frameworks and reusable components Optimize BigQuery performance (partitioning, clustering, cost optimization) Lead data modeling (dimensional modeling, star/snowflake schemas) Ensure data governance, security, and compliance Integrate data from multiple sources (APIs, streaming, batch systems) Mentor junior engineers and guide best practices Work closely with stakeholders across analytics, BI, and AI teams Required Skills Strong hands-on experience with Google Cloud Platform (GCP ecosystem) Deep expertise in BigQuery (query optimization, architecture design) Advanced SQL and data modeling skills Strong experience in Python/Scala for data engineering Experience with orchestration tools like Apache Airflow Hands-on experience with GCP services like:Dataflow Pub/Sub Cloud Storage Dataproc Good to Have Experience with streaming pipelines (real-time data processing) Knowledge of data governance frameworks Exposure to ML pipelines or AI platforms Experience in BFSI domain (preferred) Familiarity with tools like dbt Leadership Expectations Drive architectural decisions Define data engineering standards and best practices Mentor and upskill team members Ensure scalability, reliability, and cost efficiency of solutions What We Expect Strong ownership mindset Ability to handle complex data challenges Excellent communication with business and technical teams Experience in enterprise-scale delivery