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Senior Software Development Engineer - Datawarehouse/Big Data

Eingestellt von dsp

Gesuchte Skills: Oracle, Java, Engineer, Spring

Projektbeschreibung

Dsp are an award winning IT Professional Services Consultancy partnered with Oracle and Microsoft. Having won a number of awards with Oracle, the reputation we have in the market is outstanding.

We are acitvely looking to hire Software Development Engineer to join the Enterprise Data Warehouse (EDW) team on one of our strong and innovative client projects.

Responsibilities:

In this role you will be responsible for the delivery of solutions on top of the Hadoop big data platform and will play a key role in a huge technology pivot. This entails working with the delivery team and business partners to flesh out requirements, complete solution design, development and ultimate delivery to the end consumers. Our team has experience using a wide range of technologies and many years of Hadoop experience so we guarantee that you won't be bored and will learn a lot. We are also constantly looking for ways to improve our development methodologies and welcome fresh ideas and approaches.

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Develop various facets of the Hadoop EDW Java/Hadoop ecosystem. Write clear, efficient, tested code
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Write clear, efficient, tested code
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Develop code as part of a wider team through pair programming and code reviews
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Contribute to both program and system architecture
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Evolve development standards and design patterns
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Work with business stakeholders to flesh out and deliver on requirements in an agile manner
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Deploy and maintain applications in production environments
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Communicate and document solutions and design decisions.

Requirements

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At least 5 years of Java Server Side programming (this is actually a hard requirement).
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The Hadoop ecosystem - including Hive, Oozie, Cascading, HBase.
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Agile development methodologies including scrum, code reviews, pair programming.
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Object Oriented Design and development.
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Performance and scalability tuning, algorithms and computational complexity.
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Data Warehousing and ETL development.
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SQL.
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Open source libraries and tools such as Spring, Maven, Guava, Apache Commons, Eclipse, Git, Jira, Jenkins.
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Unit testing (ideally using Junit and Mockito).
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All things Linux (bash Scripting, grep, SED, AWK etc.)
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MS/BS degree in a computer science field or related discipline is nice but not essential.
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Processing massive structured and unstructured data sets.

Projektdetails

  • Vertragsart:

    Contract

  • Berufserfahrung:

    Keine Angabe

Geforderte Qualifikationen

dsp