Data & Platform Analyst – Real Estate Portfolio

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

🏢 Enterprise

🔒 Cybersecurity

☁️ SaaS

Enterprise • Cybersecurity • SaaS

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

• Architect for RAG: You’ll design and scale the pipelines for Retrieval-Augmented Generation (RAG), transforming massive volumes of unstructured IT logs and documentation into optimized Vector Embeddings. • Scale vector infrastructure: You will be responsible for the health and performance of our vector databases (e.g., Pinecone, Milvus, or Weaviate), ensuring sub-second retrieval speeds for agentic reasoning loops. • Engineer semantic layers: Move beyond simple ETL to build knowledge graphs and semantic layers that provide agents with the necessary context to navigate complex infrastructure puzzles. • Automate data excellence: Using a keen eye for detail, you’ll build automated data guardrails to detect noise, bias, or PII (Personally Identifiable Information) before it reaches the model, ensuring our AI remains safe and impactful. • Solve meaningful challenges: Serve as the bridge between raw, messy data sources and deep technical AI work, identifying and resolving quality issues at the source. • Progress to production: With a well-defined methodology and software engineering prowess, you will build, deploy, and maintain the CI/CD pipelines for our data infrastructure, ensuring that our context window remains fresh and reliable.

🎯 Requirements

• Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes • Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc • Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB • Excellent problem-solving, analytical, and critical thinking skills • Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail • Ability to communicate with both technical and non-technical colleagues, to derive and translate technical requirements from business needs • Experience working as a Data Engineer and/or in cloud modernization • Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes • Professional certification, e.g. Open Certified Technical Specialist with Data Engineering Specialization • Cloud platform certification, e.g. AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate • Understanding of social coding and Integrated Development Environments, e.g. GitHub and Visual Studio • Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology

🏖️ Benefits

• Flexible working arrangements • Professional development • Wellness programs