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Big Data Engineer (m/f)

QiBit Portugal
Data:31-7-2020  Local: Lisboa

We are looking for a Big Data Engineer to join the development team of our client – a reference multinational company in the telecommunications sector.

What will be your main responsibilities and task?

• Design and produce high performing and stable applications to process massive volumes of data in a clustering environment;
• Build real-time data processing applications integrated with business systems to enable rapid decision making;
• Integrate and process the data from several local data sources necessary for analysis and commercial actions;
• Guarantee the quality of end-to-end applications that make use of large volumes of data from the operational systems and output insights back to business systems;
• Support and contribute, with the Data Engineering, QA and Data Science teams, to define best practices for the agile development of applications to run on the Big Data Platform;
• Comply with the framework and Dev/Ops approach defined by the Big Data Platform team, which defines the QA strategy, tools and ways of working applied in every Local Market.

What is required from you?

• Degree in Computer Science, Software Engineering or similar area;
• Previous experience in designing, building and managing applications to process large amounts of data in a Hadoop ecosystem;
• Experience building systems to perform real-time data processing using Spark Streaming, Storm, Kafka, or similar;
• Experience with Unix-based systems, including bash programming;
• Strong knowledge in languages Python, Java or Scala;
• Knowledge of common SDLC, including SCM, build tools, unit testing and TDD/BDD;
• Good communication skills and interpersonal relationships;
• Fluency in English (both written and spoken).

Sounds like you? Send us your CV to https://bit.ly/3eDbncq and let’s talk!

About QiBit:
QiBit is a recruitment company specialized in Information and Communications Technologies, who belongs to the multinational Gi Group. Our team works daily to connect companies and candidates, developing a close relationship with both.th.


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