Data & Platform Analyst – Real Estate Portfolio

🕒 July 23

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Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• Design and scale Retrieval-Augmented Generation (RAG) pipelines • Transform unstructured IT logs and documentation into optimized vector embeddings • Maintain the health and performance of vector databases such as Pinecone, Milvus, or Weaviate • Build knowledge graphs and semantic layers for agentic AI context • Create automated data guardrails to detect noise, bias, and personally identifiable information • Identify and resolve data quality issues at their source • Build, deploy, and maintain CI/CD pipelines for data infrastructure • Ensure data context remains fresh and reliable • Collaborate with technical and non-technical colleagues to translate business needs into technical requirements

🎯 Requirements

• Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes • Experience developing data pipelines and using tooling such as Glue, Databricks, Synapse, or Dataproc • Experience with relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB • Excellent problem-solving, analytical, and critical-thinking skills • Ability to manage multiple projects simultaneously while maintaining attention to detail • Ability to communicate with technical and non-technical colleagues and translate business needs into technical requirements • Experience as a Data Engineer and/or in cloud modernization preferred • Data modelling experience preferred • Professional certification preferred • Cloud platform certification preferred • Understanding of social coding and integrated development environments, such as GitHub and Visual Studio, preferred • Degree in a scientific discipline preferred

🏖️ Benefits

• Fully remote work arrangement • Flexible, supportive environment • Well-being prioritized • Be Well programs supporting financial, mental, physical, and social health • Personalized development goals • Continuous feedback • Cutting-edge learning opportunities • Certifications with Microsoft, Google, and Amazon • Coaching and hands-on experiences • Career path tools • Employee referral opportunity