Azure Data Engineer @ Levelup Career

2 weeks ago


Budapest, Hungary LevelUp Career Full time

Our client is a European company providing managed services in the Azure cloud.


The company is a cloud-oriented managed service provider working with clients worldwide, a Gold Microsoft CSP Partner , and Azure Expert MSP.


The service portfolio includes all cloud adoption framework stages, migrations, data, and app modernization projects and services.


Our client has four Microsoft Advanced Specializations: - Analytics on Azure - Application Modernisation - Windows Server and SQL Migration - Virtual Desktop They help companies automate routine operations, build scalable and agile cloud and hybrid infrastructure, and achieve more with technologies.


We are looking for a Ukrainian-speaking Data Engineer in Europe.


The team specializes in: Fast-track assessments and migrations to the cloud Hi-end cloud operations through the integrated cloud management platform Unique solutions for businesses that help to automate routine business processes Deep expertise team with tech and business background.


Requirements: You possess a degree in Computer Science, Applied Mathematics, Engineering, or a related field You have at least 3 years of experience, ideally within a Data Engineer role Strong experience with  Python Strong understanding of data modeling, data warehousing concepts, and ETL  processes Strong Experience with Cloud technologies ( Azure ) - Must Have Proficient experience in distributed computing principles and familiar with key architectures, and has abroad experience across a set of data stores (Azure Data Lake Store, Azure Synapse Analytics,  Apache Spark (Spark SQL / Py Spark) , Azure Data Factory) Understanding of landing, staging area, data cleansing, data profiling, data security, and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart) Strong  SQL -skills Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members at all levels English —at least Upper-Intermediate level Experience working in an Agile development environment with tools such as Jira Relevant Data Engineering certification -  Nice to Have English - Upper Intermediate Data Engineering - 4 years Azure - 3 years Python - 3 years ETL - 3 years DWH - 3 years Apache Spark - 3 years SQL - 3 years Py Spark - 3 years Experience in Agile Experience in Jira Our client is a European company providing managed services in the Azure cloud.


The company is a cloud-oriented managed service provider working with clients worldwide, a Gold Microsoft CSP Partner , and Azure Expert MSP.


The service portfolio includes all cloud adoption framework stages, migrations, data, and app modernization projects and services.


Our client has four Microsoft Advanced Specializations: - Analytics on Azure - Application Modernisation - Windows Server and SQL Migration - Virtual Desktop They help companies automate routine operations, build scalable and agile cloud and hybrid infrastructure, and achieve more with technologies.


We are looking for a Ukrainian-speaking Data Engineer in Europe.


The team specializes in: Fast-track assessments and migrations to the cloud Hi-end cloud operations through the integrated cloud management platform Unique solutions for businesses that help to automate routine business processes Deep expertise team with tech and business background.


Requirements: You possess a degree in Computer Science, Applied Mathematics, Engineering, or a related field You have at least 3 years of experience, ideally within a Data Engineer role Strong experience with  Python Strong understanding of data modeling, data warehousing concepts, and ETL  processes Strong Experience with Cloud technologies ( Azure ) - Must Have Proficient experience in distributed computing principles and familiar with key architectures, and has abroad experience across a set of data stores (Azure Data Lake Store, Azure Synapse Analytics,  Apache Spark (Spark SQL / Py Spark) , Azure Data Factory) Understanding of landing, staging area, data cleansing, data profiling, data security, and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart) Strong  SQL -skills Strong communication and interpersonal skills, with the ability to effectively collaborate with clients and team members at all levels English —at least Upper-Intermediate level Experience working in an Agile development environment with tools such as Jira Relevant Data Engineering certification -  Nice to Have ,[The Data Engineer is responsible for helping select, deploy, and manage the systems and infrastructure required of a data processing pipeline to support the customer requirements., Primary responsibilities revolve around Dev Ops, including implementing ETL pipelines, monitoring/maintaining data pipeline performance, and model optimization., You will work on cutting-edge cloud technologies including Azure Fabric, Apache Spark, Data Lake, Data Bricks, Data Factory, Cosmos DB, HD Insights, Stream Analytics, Event Grid etc., in the implementation projects for corporate clients all over Europe, CIS, UK, Middle East.] Requirements: Azure, Spark, Python, SQL, Data engineering Tools:.


Additionally: Private healthcare, International projects, Small teams.



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