CTC007442 - Data Engineer Intermediate

Secteur industriel: Telecommunications
Type d'emploi: Contract
Durée: Six months
Mode de travail: Remote

Description

- Datastage experience required

- Required : Hadoop, Spark, Kafka experience for existing ETL pipeline support

- Work schedule : 3 days in Office (Monday, Tuesday, Wednesday) + 2 days remote


Specific projects:

  • Maintain our existing data structures batch + streaming in Hadoop (Cloudera) while we transition to GCP Cloud. Manage service desk inquiries by debugging, suggesting, implementing changes and/or improvements following business guidelines and procedures.

  • 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
  • Bilingualism is an asset (English and French); adequate knowledge of French is required for positions in Quebec.

  • Notre barre latérale

    Welcome to our house!