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Senior Data Engineer - GCP

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Onsite

Senior Data Engineer - GCP

Shavish Group

Senior Data Engineer - GCP

Skills

Google Cloud PlatformData Engineering

2 days ago

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Important information


Contract type:

Permanent

Salary:

₹1,000,000 – ₹2,000,000 / year

Location:

Pune, Maharashtra, India

Work mode:

Onsite

Published on:

21 October 2026

What they need


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

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