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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building scalable data solutions, including ingestion, transformation, and processing pipelines using Python and Kubernetes. Proficient in ensuring data quality, lineage, and observability while enabling AI and LLM applications through high-quality data services.
Highest-signal resume keywords
Python ProgrammingData Pipeline DevelopmentKubernetes EngineeringData Quality ManagementCloud-Native Solutions
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data EngineeringDistributed Data ProcessingData ModellingMetadata ManagementData Quality AssuranceAI/LLM Data ProcessingSemantic IngestionTransformational Data ProcessingAutomated Data PipelinesTechnical Solution Delivery
Soft Skills
CollaborationCommunicationOwnershipTechnical Guidance
Tools & Technologies
PostgreSQLElasticsearchSparkMicrosoft FabricMicrosoft AzureCI/CDMonitoring ToolsPower BIApache SupersetBigQuery
Certifications & Qualifications
Bachelor's Degree
Industry Keywords
AILLMData SolutionsKnowledge GraphsSemantic Data Architectures3GPPO-RANWi-FiMPEGResearch and Standardization
Tech Stack
Tools & technologiesApacheAzureBigQueryCloudElasticSearchKubernetesPostgresPythonSpark
About the role
Key responsibilities & impact- Own data solutions from requirements and architecture through deployment, operation and continuous improvement
- Build scalable ingestion, transformation and processing pipelines for standards and strategic datasets
- Transform complex information into structured, reliable and AI-ready data assets
- Develop AI/LLM-assisted data processing, semantic ingestion and retrieval capabilities
- Strengthen metadata, data quality, lineage, freshness, observability and reliability
- Develop and operate solutions using Python, Kubernetes, Spark, PostgreSQL, Elasticsearch and Microsoft Fabric
- Enable AI, LLM and agentic applications through high-quality data and knowledge services
- Provide technical guidance and knowledge sharing while remaining hands-on in solution delivery
Requirements
What you’ll need- Strong hands-on experience in production-grade data and software engineering
- Strong Python skills and experience designing automated data pipelines
- Experience with distributed data processing, data modelling, metadata and data quality
- Experience with PostgreSQL, Elasticsearch or comparable data and search technologies
- Cloud-native engineering, Kubernetes and container experience
- Knowledge of CI/CD, monitoring and production operations
- Ability to translate complex or ambiguous requirements into scalable technical solutions
- Strong ownership, collaboration and communication skills, with the ability to guide other engineers while remaining hands-on
- Bachelor’s degree
- Experience with Microsoft Azure and Microsoft Fabric is nice to have
- Experience with Spark, BigQuery, OLAP or similar data and analytics technologies is nice to have
- Experience with LLM-assisted data processing, embeddings, vector search or semantic retrieval is nice to have
- Knowledge of knowledge graphs, linked data or semantic-data architectures is nice to have
- Experience with Power BI, Apache Superset or similar visualization tools is nice to have
- Familiarity with 3GPP, O-RAN, Wi-Fi, MPEG, JVET or ITU-R data is nice to have
- Experience with research, standardization, intellectual property or patenting-related data and use cases is nice to have
Benefits
Comp & perks- Flexible and hybrid working arrangements to support work–life balance
- Medical insurance for you and your family
- Health check-ups
- Life and accident insurance
- Well-being programs
- Employee resource groups
- Minimum of 90 days of Maternity and Paternity Leave based on eligibility
- Personal Support Service 24/7 for Nokia employees and their families
- Technical career paths
- Job rotations
- International assignments
- Relocation support
- Technical certifications
- Mentoring programs
- Coaching
- Digital learning platforms
- Opportunities to innovate and contribute through Nokia’s research and development environment
- Recognition programs
- Ergonomic working support
- Mobile device programs based on eligibility