Seargin

BigData Engineer

Job description

Seargin is looking for a BigData Engineer


Position : BigData Engineer


Technologies : BigData, Spark, Hadoop


Location : Warsaw/Wroclaw/Poznan/Katowice/remote or remote


Country: Poland


Area : Project


Form of employment : B2B


Experience Level : Senior


The main tasks for the Big Data Engineer will be:


Being Responsible for creating software that enables our clients and business partners to make effective choices with ease.


Design Robust Solutions On State-of-the-art Compute Engines Such As


Hadoop Ecosystem


Hadoop distribution systems


DataBricks


Spark


Data Integration Using


NiFi,


Sqoop


Workflow Scheduling Utilizing


AirFlow


Oozie


The Candidate Should Have


Resolving complicated business difficulties on a large scale. Joining in cross-functional programs and cooperating across numerous domains.


Cooperating with engineers, product/project managers, and associates from all over the world.


6 or more years of business involvement in Big Data


Strong sense & understanding of Hadoop Ecosystem


Competence In


Spark


Python


Scala


Understanding of Big Data building patterns


Practice in Data Integration


Familiarity with Workflow scheduling


Practice in utilizing Agile methods


Practice in Cloud Azure/AWS/GCP


Expertise In Data Shaping And Notions Like


Data Lake


Data Virtualization


Data Warehouse


Data Mart


Team-oriented, detail-oriented, efficient, and solution-oriented attitude


Superb analytical and problem-solving skills


Excellent communication and interpersonal skills


Flexibility and ability to work independently and in a team


Great English skills (written and spoken)


Familiarity With BI Tools Like


It would be a plus if the Candidate had:


Power BI


SAP BO


Qlikview


QlikSense


Tableau


or other


German language Skills


Sense of the significance of governance and safety rules when processing data


Awareness of data management notions


Containerization


Docker


Kubernetes


DevOps principals


Practice In Stream Handling Utilizing


Spark


Streaming


Kafka


Flink,


Storm


The Candidate Can Expect


B2B


Challenging job in an international and multilingual environment


Professional development


Attractive and competitive compensation


If you meet the requirements described above, please send your application in English (.doc) at natalia.lewandowska@seargin.com stating the name of the position in a subject and/or call +(48) 735 246583 .

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