Data Engineer - Ingestion & Harmonization

Job Description: On-site presence as required based on project needs Role Overview • We are seeking a Data Engineer to design, build, and maintain data ingestion and • harmonization pipelines that support a knowledge graph–centric platform. This role • focuses on reliable data movement, transformation, normalization, and quality to ensure • consistent, high-quality inputs for downstream graph, search, and AI workflows. Key Responsibilities • Design and implement batch and near-real-time data ingestion pipelines • Ingest data from databases, files, APIs, and external systems • Transform, normalize, and harmonize data across multiple sources • Apply data mapping, standardization, and enrichment logic • Implement data validation, quality checks, and error handling • Monitor pipeline health, data freshness, and reliability • Collaborate with knowledge graph, integration, and platform teams to align data structures Required Qualifications • 5+ years of experience in data engineering or data platform roles • Strong proficiency in Python, SQL, or similar languages • Experience building and maintaining production ETL or ELT pipelines • Experience working with structured and unstructured data • Familiarity with APIs and data integration patterns Preferred Background • Experience in research-driven, biotech, pharma, life sciences, healthcare, or complex data environments • Exposure to data harmonization, entity alignment, or metadata management Familiarity with cloud-based data platforms and storage