BENGALURU · FULLTIME
Data Engineer
Nokia
Bengaluru · onsite · Posted 51d ago
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Undisclosed0–5 yrsfulltimeBengaluru
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Section · 01
About this role
As a Data Engineer on the EDP team within Nokias Digital Office and Enterprise Chief Data Office, you will help build a modern data-as-a-service platform that combines platform engineering, pipeline development, and analytics enablement. The role spansscalable data ingestion, transformation, and deliveryacross a growing and evolving platform.
You will join aglobal teamworking across multiple countries and collaborate closely with architects, technical leads, product owners, fellow data engineers, and broader IT partners. This is anindividual contributorrole with a strong emphasis on teamwork, learning, and shared ownership of the platform.
The platform sits at the forefront of cloud data engineering, giving you exposure toevolving Databricks and Azure capabilitiesas they are adopted and put into practice. You will also work alongside specialist partners including platform vendors, independent software
HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN
- Build, maintain, and improveingestion pipelines, notebooks, and data assetson Azure and Databricks using Delta Lake and PySpark, supporting reliable data delivery across the platform.
- Develop and optimizeSQL and Pythonsolutions that improve pipeline performance, data quality, and platform stability.
- Partner with architects, leads, product owners, and engineering peers to understand requirements, troubleshoot issues, and deliver practical data solutions.
- Providespecialist platform support to the operations teamby diagnosing pipeline and platform issues, sharing deep technical knowledge, and guiding effective resolutions.
- Contribute toPower BIreporting and analytics enablement, turning curated platform data into useful insights for stakeholders.
- UseCI/CD practices in Azure DevOpsto test, deploy, and maintain platform changes safely and efficiently.
- Helpevaluate and apply new platform capabilitiesin partnership with internal architects and external specialists, turning emerging features into reliable engineering patterns for the team.
- ApplyAI-assisted tools dailyfor research, design, coding, testing, and documentation, using them to move faster while maintaining engineering quality.
What success looks like in your first year
- You areconfident and effectiveworking across the EDP platform stack and team ways of working.
- You are atrusted specialist partner to the operations team, helping them resolve platform and pipeline challenges with clear technical guidance.
- You aredelivering ingestion pipelines, notebooks, and analytics-ready outputsthat meet team and stakeholder needs.
- You arecontributing to platform optimization and evolution, including practical use of newer platform capabilities and patterns shaped with architects and external partners.
Qualifications
Must-have
- Strong fundamentals inSQL, coding, and problem-solving, with the ability to break down technical challenges and learn new tools quickly.
- Hands-on experience building or supportingdata pipelines or data platform componentsin cloud or distributed data environments.
- Comfort working withcloud data engineering tools, including experience with or willingness to work deeply inAzure, Databricks, Delta Lake, and PySpark.
- Experience withcollaborative software developmentversion control, code review, and working effectively in cross-functional engineering teams.
- Clearcommunication skillsand a proactive mindset, with confidence collaborating across time zones and usingAI-assisted development toolsas part of your daily workflow.
Nice-to-have
- Experience withAzure DevOpsfor CI/CD, testing, and deployment of data or platform workloads.
- Exposure toPower BIor similar analytics/reporting tools for delivering data to business users.
- Familiarity withlakehouse architecture, distributed processing with Spark, and platform performance tuning.
- Interest in working withnew or preview platform features, and in collaborating with vendor specialists, ISVs, or architecture partners on complex technical challenges.
- Background inAgile delivery, mentoring or knowledge sharing, or personal and project work that demonstrates curiosity including experimentation withAI tools, algorithms, or modern development workflows.
Sourced from naukri
Section · 02
Skills
data qualityAzure DevopsAgileData EngineerData ingestionCode Reviewcloud data engineeringAgile DeliveryAnalyticsdeploymentDatabrickscloudAI ToolsCommunication SkillsAlgorithmsArchitectureMicrosoft AzureData PipelineArtificial Intelligence
Section · Company
About Nokia
Nokia
Telecom
17.3k+
employees
1865
161 years old
Espoo, Southern Finland
Finland
About
Nokia is a technology leader across mobile, fixed, and cloud networks, our solutions enable a more productive, sustainable, and inclusive world.
Industries
TelecomManufacturingElectronics
Employee ratings
2,918 reviews
4.0/ 5
Culture
4.0
Career growth
3.2
Work-life
4.1
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