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Analytics
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GS Global Services
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1900000MJ8 Requisition #

Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things. 

Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect.

Nokia is an equal opportunity employer that is committed to diversity and inclusion.

At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.


Context: With the goal of enabling next-generation analytics, a new data platform is being developed at Nokia called the Data Hub, its goal is to be a go-to place for a multitude of data sources and usage patterns, it provides additional support for discovery, indexing and analytics, by providing a:

Fully combined x-BG architecture with extensive functionalities

Single data collection and data lake that services business

E2E data platform supported by strong data governance that enables streaming analytics & AI

Quicker deployment with customers and products through pre-built options of data collection & curation

Provide data once in required quality, integrity and security as a “Trusted Data Hub”


Description: Big Data Engineers will be part of a multi-disciplinary team along with Project Managers, Data Analysts and Data Stewards to deliver data focused solutions. They have a key role to play within the Data Supply Chain team by designing and building cutting edge dataflows which can collect, process and curate large amount of data volumes in velocity and variety. His/her key responsibilities will be:

 

Participate in sprint planning to estimate development effort

 

Implements requests for ingestion, creation, and transformation of sources and data models

 

Develop and execute jobs to import data periodically

 

Setup a streaming data source to ingest data into the Data Hub

 

Delivers data sourcing approach and datasets for analysis, with activities including data staging, ELT, data quality and archiving

 

Profile data and validate whether fit for purpose

 

 

Skillset:
Experience in Requirements Engineering, Solution Architecture, Design, Development and Deployment
Experience in integrating data into analytical platforms
Experience with ingestion technologies (Spark, Kafka, Storm, Apache NiFi & Minifi, Azure Data Factory) and storage (HDFS, HBase, Hive, Blob Storage, ADSLG2)
Experience in data profiling, source-target mappings, ELT development, SQL optimization, testing and implementation
Expertise in SQL & other data manipulation languages essential (Pig, Python, Java)
Experience with structured/unstructured data
Track record of implementing databases and data access middleware and high volume processing involving large data stores

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Nokia is an equal opportunity employer that is committed to diversity and inclusion. At Nokia, employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.