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Data Engineer

5.00 to 10.00 Years   Bangalore   23 Jan, 2023
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryTelecom / ISP
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    Data Management & Analytics (DMA) Center of Excellence (CoE) plays a role in achieving Nokia s business targets and commercial strategy definition. It consists of experts with various backgrounds providing an In-house centralized resource for Nokia Business teams to bring their ideas and challenges for data management activities: data lake, data warehouse, reporting, and machine learning modeling implementation to augment & speed decisions, reduce costs, and improve quality.In this position you will be responsible for developing and managing Nokia s next generation finance, procurement, and supply chain global data environment supporting each Product Group and Common Functions. The DMA team is looking for proactive members who will have a key role in its development and maintenance. This is a hands-on technical role using state-of-art Microsoft Azure Platform in a dynamic agile environment, working directly with business and data owners, architects, developers, and test engineers.What you will learn and contribute to Are you passionate about solving problems As part of our team, you will be:
    • Responsible for building and maintaining the business intelligent Azure based solutions from Business requirements to technical requirements, code development, user acceptance test, production deployment and post-deployment technical support
    • Responsible for the overall solution (bronze, silver, gold) architecture, data ingestion, transformation and storage
    • Working in Azure environment, delivering Databricks pipelines, data lake & SQL storage layers, transformations, and optimizations
    • Ability to effectively prioritize and execute tasks in global environment, with proven analytical, evaluative, and problem-solving abilities
    Your skills and experience You have:
    • 5+ years of combined experience in Azure Data Engineering projects
    • Proficient with Spark topics: pyspark, Databricks, Synapse Notebooks
    • Proficient with Azure Data services (like Azure Synapse, Azure Data Factory, Azure security model, Azure Data Lake, )
    • Strong SQL DW knowledge, understanding when to use Azure SQL DW vs Azure SQL Server/DB
    • Proficient with creating pipelines and activities using both Azure and On-Prem data stores for full and incremental data loads into a Cloud DW
    • Proficient in data topics: management, processing, cleaning, transforming, aggregating, security, and modeling using AAS/PBI
    • Working knowledge of creating Power BI reports and dashboards
    • Solid programing and quering skills with T-SQL, DAX, PowerShell, Python
    • Experience working within a distributed team, following an Agile methodology with a DevOps approach using GIT or TFS
    • Bachelor in computer science or related, Master degree considered as a plus
    ,

Keyskills :
sqljavadata warehousinginformaticapythoncenter of excellencepower bisupply chaindata servicesdata managementmicrosoft azureproblem solving

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