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data engineering · healthcare claims auditing

GCP Data Engineer

Delhi NCRPosted 29 days ago
Software engineeringMid-levelFull Time
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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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