Senior Data Engineer
SimplyVision GmbH
vor 2 Tg.

For our customer located in Basel (CH) we are currently looking for a : Senior Data Engineer (m / f / d)

Senior Data Engineer has the responsibility to design data pipeline architecture in a strong partnership with Product owner to fit with product roadmap needs.

He plays a role as a mentor for the Data Engineer community to ensure that best practices and processes are met. Responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and transformations.

Tasks & Responsibilities

  • Responsible for defining how to develop the pipeline and his overall qualityHelp the team in building new and relevant data engineer features for enhancing the pipeline according to the roadmap.
  • Plays a mentorship role to ensure the optimal application of best practices, coding conventions over the pipeline and assist data engineer in their duties upon requestHelps the team to achieve and surpass product and program goalsProvides technical guidance and direction as well as contributing hands-on to pipeline developmentActs as an evangelist and guiding practitioner of agile and devops practices

    Must Haves

  • Bachelor’s / Master’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field;
  • equivalent of the same in working experience may also be acceptedResponsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and transformationsStrong troubleshooting and problem solving skillsExperience building large-scale software systems and implementation of creative solutions to difficult computational problems (with emphasis on performance and near real-time data analytics)Senior level data engineering (e.

    g. ETL) experienceDatabricks or Spark experienceProficient in Python, R or ScalaExperience with AWS / Azure cloud technologies and stackExperience building big data applications and pipelines using SparkStrong knowledge in DevOps, coding conventions and best practices for User Acceptance TestSelf-motivated, curious, proactive and accountableSolid communication skills

    Other specific requirements :

  • Experience in medical imaging solutionsUnderstanding of data42 data capabilities and toolsUnderstanding of images storage best practicesTechnical ability to configure images systems to load and transfer filesKnowledge of medical image formats and metadataWork closely with data scientists to solve technical issues in building analytical blueprints in ML, DL, and genomic sequence analysisUnderstanding of ML / DL and imaging processing in big data computing engine (e.
  • g. Spark)Familiarity with performance tuning skills (Spark, Data I / O);good knowledge about the internals of Spark and other components in Hadoop ecosystem (HDFS, Hive)

    Did we catch your interest?

    The SimplyVision-Team is looking forward to receive your application (Word file is highly appreciated).

    Kindly be informed that our customer is located in Switzerland. Therefore only applications from candidates within the EU or candidates holding Swiss work permission are required.

    Tagged as : , Azure, data42, DevOps, etl, Python, r, scala, Spark

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