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ara resources pvt. ltd.

GCP Architect

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Job Description

Job Title: Senior Data Engineer (GCP – Vertex AI)

Location: Mumbai, Gurugram, Bhubaneshwar India

Experience: 12+ Years

Education: 15 years full-time education

About the Client

ARAs Client is a global leader in digital transformation, delivering cutting-edge solutions across cloud, data, and AI. With a strong presence in enterprise data engineering and advanced analytics, the organization empowers businesses to harness data for strategic decision-making and innovation.

Role Summary

We are looking for a highly experienced Senior Data Engineer with deep expertise in GCP, Vertex AI, Python, and BigQuery. This role will focus on building scalable data pipelines, enabling AI/ML workflows, and ensuring high-quality, reliable data systems. The ideal candidate will bring strong leadership capabilities and the ability to drive enterprise-wide data engineering initiatives.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL workflows
  • Build and optimize data solutions using Google Cloud Platform (GCP) services
  • Work closely with data scientists to enable Vertex AI-based ML pipelines
  • Ensure data quality, integrity, and governance across systems
  • Lead architectural decisions for data platforms and pipelines
  • Collaborate with cross-functional teams to translate business needs into data solutions
  • Monitor, troubleshoot, and optimize pipeline performance
  • Mentor team members and facilitate knowledge-sharing sessions
  • Maintain documentation for data workflows and systems

Must-Have Qualifications

  • 12+ years of experience in data engineering
  • Strong hands-on expertise in:
  • GCP (Vertex AI, BigQuery)
  • Python programming
  • Deep understanding of ETL/ELT processes and data pipeline architecture
  • Experience with data modeling and database design
  • Proven ability to lead teams and influence technical decisions
  • Strong problem-solving and analytical skills

Nice to Have

  • Experience with real-time/streaming data pipelines (Kafka, Pub/Sub)
  • Exposure to ML pipelines and MLOps practices
  • Knowledge of data governance and security best practices
  • Experience in large-scale enterprise environments

Behavioral Competencies

  • Leadership and ownership mindset
  • Strong stakeholder management
  • Collaboration across technical and business teams
  • Problem-solving and critical thinking
  • Continuous learning attitude

Why Join Us

  • Work on large-scale, cloud-native data platforms
  • Collaborate with AI/ML and analytics teams on cutting-edge solutions
  • Opportunity to influence enterprise data strategy
  • Fast-paced, innovation-driven environment
  • Strong career growth and leadership opportunities

More Info

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Job ID: 147132925

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