GCP Data Engineer

Job description

**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 **Responsibilities: 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 Qualifications: Graduate in Computer Science, Data Science, or related field. 6+ years of experience in data engineering or related field.