Deutsche Telekom IT Solutions Slovakia
Technology
DataPlatformEngineer(PalantirFoundry)(m/f/d)
“Data Platform Engineer (Palantir Foundry) (m/f/d) at Deutsche Telekom IT Solutions Slovakia. Skills: Data Platform Engineering, Palantir Foundry, PySpark, Data Pipelines. Own production data pipelines end-to-end. Ensure reliability of data pipelines”
Industry & Context.
Problem-solving mindset; Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
Experience with data engineering, Experience with big data ecosystems, Hands-on expertise with PySpark, Hands-on expertise with distributed data processing, Experience working with production data pipelines, Experience troubleshooting production data pipelines, Understanding of data quality, Understanding of monitoring, Understanding of governance, Solid software development skills, Focus on writing clean code, Focus on writing readable code, Focus on writing maintainable code in Python, Experience with testing practices, Experience with unit testing, Experience with integration testing, Experience validating data pipelines, Proficient in version control systems, Proficient in Git, Proficient in collaborative development workflows, Familiar with designing REST APIs, Familiar with working with REST APIs, Commitment to code quality, Commitment to documentation, Commitment to best practices, Problem-solving mindset, Ownership attitude, English – Upper intermediate (B2)
Nice to Have
Experience with Palantir Foundry, Experience with similar platforms, German - Advantage, TypeScript, SQL, Good skills in integrating systems, Good skills in integrating applications, Good understanding of Cloud systems, Good understanding of DevOps concepts, Good understanding of DevOps tooling, Experience with data platform reliability, Experience with DataOps practices, Familiarity with automation, Familiarity with workflow orchestration, Exposure to user-facing data applications, Exposure to analytics tools, Ability to work individually, Ability to work in team, Being self-motivated, Being organized
What You'll Do.
Own production data pipelines end-to-end
Ensure reliability of data pipelines
Ensure performance of data pipelines
Ensure scalability of data pipelines
Optimize data solutions
Develop applications using PySpark
Develop applications using Foundry tools
Process massive datasets efficiently
Champion data quality
Design monitoring frameworks
Design validation frameworks
Guarantee trusted data
Keep platform running smoothly
Implement long-term improvements
Act as first line of support
Help users resolve data issues
Help users resolve access issues
Help users resolve pipeline issues
Drive operational excellence
Conduct root cause analysis
Prevent recurring issues
Collaborate across teams
Shape way we work with data
Contribute to best practices
Contribute to data governance
Contribute to platform usage
How You'll Work.
Team & Collaboration
Collaborate with Foundry admins; Collaborate with engineers; Collaborate with business stakeholders
Process & Methodology
Operational excellence
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