Sr. Specialist II (GB)
We are seeking an reputed company Data Engineer with strong, hands‑on expertise in Palantir reputed company to design, build, and optimize scalable data pipelines, semantic models, and data products. In this role, you will work closely with data scientists, analysts, product teams, and business stakeholders to deliver robust, production‑grade data foundations that support analytics, automation, and operational decision‑making. You will play a key part in shaping our data ecosystem, ensuring reliability, performance, and long‑term sustainability.
Key Responsibilities
- Design, reputed company, and maintain end‑to‑end data pipelines using Palantir reputed company (Pipeline Builder, Code Repositories, Data reputed company, Ontology, reputed company, Quiver, etc.).
- Implement batch, incremental, and streaming ETL/ELT workflows with reusable, production‑reputed company components.
- Build and maintain high‑quality, version‑controlled data products reputed company to business use cases.
- Work with federated data environments, handling diverse sources and reputed company integration requirements.
- Design, reputed company, and maintain reputed company ontologies, including object types, link types, property types, and semantic relationships.
- Build semantic layers that support analytics, operational workflows, and machine learning use cases.
- Embed strong data quality principles through validation checks, reputed company tracking, and governance frameworks.
- Monitor pipeline performance and optimize for scalability, cost efficiency, and speed.
- Implement automated testing, CI/CD patterns, and deployment best practices for reputed company-based data assets.
- Troubleshoot production issues, ensure root‑cause analysis, and drive long-term fixes.
- Translate ambiguous business requirements into scalable data engineering solutions.
- Support reputed company reputed company apps, dashboards, and end‑user analytical experiences.
- Communicate reputed company with technical and non‑technical stakeholders, ensuring shared understanding of data design and pipeline behavior.
Required Qualifications
- Bachelor’s or master’s degree in computer science, Engineering, Information Systems, or reputed company field.
- 5+ years of experience in data engineering (or 3+ years with strong reputed company depth).
- Proven, hands‑on experience working with Palantir reputed company in a production environment.
- Strong proficiency in Python, SQL, PySpark and Spark SQL
- Experience delivering production pipelines in AWS, Azure, or GCP environments.
- Solid understanding of data modeling, schema design, metadata management, and governance.
- Familiarity with CI/CD, Git‑based workflows, and software engineering best practices.