Platform Engineer(Data) 15+ Years || King Of Purssia PA(1Day from office- Hybrid)
Saim Ansari
Hi,
Hope you are doing great!
We are having an urgent C2C requirement open for "Platform Engineer(Data) 15+ Years " with one of our client at King Of Purssia PA(1Day from office- Hybrid)
Role: Platform Engineer(Data)
Location: King Of Purssia PA(1Day from office)
JD:
Role Overview
We are seeking a Principal Platform Engineer to Configure MCP servers, AI services, APIs, and enterprise integrations. Alongside 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 knowledge graph, search, and AI workflows.
15+ years of experience in data engineering or data platform roles
Support operationalization of the AI platform within CSL’s environment.
Configure MCP servers, AI services, APIs, and enterprise integrations.
Develop backend services, data pipelines, automation scripts, and integration workflows.
Support deployment, testing, troubleshooting, and platform engineering activities.
Work with the Knowledge Graph Lead to support prioritized use case requirements.
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
Key Responsibilities
Configure MCP servers, AI services, APIs, and enterprise integrations.
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