drjobs Big Data Engineer 2025TA0201x110682

Big Data Engineer 2025TA0201x110682

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1 Vacancy
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Jobs by Experience drjobs

5years

Job Location drjobs

Warsaw - Poland

Hourly Salary drjobs

PLN PLN 70 - 70

Vacancy

1 Vacancy

Job Description

Our Customer is looking for a Big Data Engineer located in Warsaw d Wroc aw Pozna or Krak w who will be obliged to visit one of the clients offices twice per week

Additional information: Please add the city while applying

Verification process: at least 2 interviews (one with our client and one with the end client)

Background check: required preonboarding


  • Hadoop Ecosystem Expertise:


  • Design develop and optimize data pipelines and workflows using Hadoop technologies such as HDFS YARN Spark HBase Impala and Hive.


  • Java Development for APIs and Batch Processes


  • Develop and deploy RESTful APIs using Java Spring Boot for seamless data integration across systems.
  • Design and manage batch processes in Java ensuring efficient execution of data workflows and business logic.
  • Implement robust error handling logging and monitoring mechanisms.


  • Database Management


  • Maintain and enhance relational database solutions particularly with Oracle DB.
  • Write complex and optimized SQL and Spark SQL queries for improved database performance.


  • Performance Optimization and Troubleshooting


  • Monitor troubleshoot and enhance the efficiency of data processes.
  • Ensure data integrity quality and security.


  • Collaboration and Agile Participation


  • Engage in Agile methodologies including daily standups and retrospectives to facilitate project success.
  • Contribute to code reviews design discussions and team collaborations to uphold high development standards.

Must have:


  • Minimum of 2 years of handson experience as a Data Engineer in a commercial setting.
  • Minimum of 2 years of commercial experience in Java and Hadoop
  • Strong proficiency in SQL.
  • Experience working with the Hadoop ecosystem including HDFS YARN Spark HBase Impala and Hive.
  • Skilled in distributed computing frameworks and largescale data processing.
  • Familiarity with ETL pipeline development and data modeling.
  • Solid knowledge of cluster management big data troubleshooting and API development using Java Spring.
  • Strong analytical and problemsolving skills with keen attention to details


Java Data Engineering Hadoop ETL & Data Management Tools API Spark BigTable (HBase) Hive SQL

Employment Type

Full Time

Company Industry

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