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Big Data Engineer

Montreal, QuebecSur placeContrat7 moisPublié December 6, 2023
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Description du poste

Big Data Engineer Position Description: The Big Data Engineer will be a key member of the Field Services BI team. You will work closely with Hadoop Administrators, Data Scientists, and business stakeholders. Job Duties/Accountabilities: Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources Works to identify gaps and improving the platform’s quality, reliability, robustness, maintainability, and speed Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading across multiple systems Manage service desk inquiries by debugging, suggesting, implementing changes and/or improvements following business guidelines and procedures Critical Qualifications/Competencies: Training/Education Bachelor’s degree in Engineering, Computer Science, Operations Research, Science, Mathematics or equivalent experience and / or education Skills Autonomous, resourceful, strong tolerance to ambiguity Strong analytical, communication and time management skills Strong troubleshooting skills Excellent ability to articulate and document technical concepts Technical Knowledge Experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kafka) Experience building streaming and batch jobs in Spark Experience with Enterprise class ETL tools such as IBM DataStage Working Conditions: Ability to work efficiently in virtual teams with geographically dispersed team members Fast paced, continuous learning environment with new technologies Good work / life balance opportunities

Exigences

  • Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources
  • Works to identify gaps and improving the platform’s quality, reliability, robustness, maintainability, and speed
  • Contributes design, code, configurations, and documentation for components that manage data ingestion, real time streaming, batch processing, data extraction, transformation, and loading across multiple systems
  • Manage service desk inquiries by debugging, suggesting, implementing changes and/or improvements following business guidelines and procedures
  • Training/Education Bachelor’s degree in Engineering, Computer Science, Operations Research, Science, Mathematics or equivalent experience and / or education
  • Skills Autonomous, resourceful, strong tolerance to ambiguity
  • Strong analytical, communication and time management skills
  • Strong troubleshooting skills
  • Excellent ability to articulate and document technical concepts
  • Technical Knowledge Experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kafka)
  • Experience building streaming and batch jobs in Spark
  • Experience with Enterprise class ETL tools such as IBM DataStage
  • Ability to work efficiently in virtual teams with geographically dispersed team members
  • Fast paced, continuous learning environment with new technologies
  • Good work / life balance opportunities

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