GCP Data Engineer

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