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GCP Data Engineer

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Job Description

Job Summary

We are looking for 2 experienced GCP-focused Data Engineer / Platform Engineers with strong engineering depth and hands-on experience building scalable data platforms. The role requires expertise in designing and implementing end-to-end data pipelines and control frameworks, with the ability to derive actionable insights from data.

Core Responsibilities

  • Design, build, and scale data platforms and pipelines on GCP, leveraging services such as BigQuery and related ecosystem tools
  • Own and contribute to end-to-end development lifecycle—from requirements to production deployment and optimization
  • Develop robust, scalable workflows for data ingestion, transformation, and processing
  • Implement and optimize data models, pipelines, and transformations using Python (Pandas, PySpark) and SQL
  • Build and operationalize analytical datasets to support reporting and downstream use cases
  • Establish and enhance data control frameworks using a mix of enterprise tools and custom solutions
  • Collaborate with cross-functional teams (business, risk, operations, technology) to translate requirements into scalable solutions
  • Ensure data quality, validation, and performance optimization across pipelines and workflows
  • Support production-grade reporting and dashboards (Tableau / Power BI) and enable data-driven decision-making

Must-Have Skills

  • Deep expertise in GCP (architecture, services, and scalable system design)
  • Strong software engineering and development experience across data platforms
  • Proven experience building large-scale data pipelines and distributed systems
  • Strong programming skills in Python (PySpark, Pandas) and SQL
  • Experience with BigQuery and GCP-native data services
  • Solid understanding of data modeling, optimization, and ETL/ELT frameworks
  • Hands-on experience working across the full development lifecycle (design to deployment)

Good-to-Have Skills

  • Ability to derive analytical insights and support business decision-making
  • Experience with GenAI implementations or AI-driven workflows
  • Exposure to data governance and control frameworks
  • Experience integrating external data sources via APIs
  • Familiarity with web scraping

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About Company

Job ID: 151866895

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