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Senior Data Engineer ( Toyota Connected)

Senior Data Engineer ( Toyota Connected)

ShiftCode AnalyticsPlano, TX, United States
3 days ago
Job type
  • Full-time
Job description

USC & GC Only

ROLE SUMMARY The Sr Engineer role plans, designs, develops and tests high-quality, innovative and fully performing software systems or applications for software enhancements and new products. Key responsibilities include :

  • Contribute to full software development life cycle
  • Write maintainable, extensible, tested code, while complying with coding standards
  • Produce specifications and determine operational feasibility
  • Continuously Integrate and deliver software components into a fully functional software system
  • Facilitate end to end user testing with customers
  • Troubleshoot, debug and upgrade existing systems CAREER LEVEL SUMMARY
  • Proficiency : Fully mastered in immediate function / domain and has developed competent skills in complimentary functions or domains. Is able to train junior members in mastered domain knowledge.
  • Direction : Is largely autonomous, working on a day to day basis without supervision or support. Occasionally checks in with manager for questions, direction. Provides support or direction to more junior members.

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dditional Skills & Qualifications

  • 8+ years of total development experience
  • 5+ years of experience as a Data Engineer with large, complex data sources
  • Experience designing, building and operationalizing large scale enterprise data solutions and applications using AWS data and analytics services in combination with other services / platforms - Spark, EMR, RedShift, Kinesis, Kinesis Firehose, Athena, Lambda & AWS Glue
  • Experience with data pipeline and workflow management tools : Airflow, Step Functions etc
  • Ability to implement both batch and streaming data pipelines in the AWS and change data capture (CDC) experience
  • Advanced working SQL knowledge and experience working with relational databases and NOSQL databases.
  • Experience designing and build production data pipelines from ingestion to consumption within a big data architecture, using Java, Scala.
  • Experience with infrastructure-as-code tools such as Terraform (preferably) or CloudFormation
  • Kubernetes experience for developing, deploying, and orchestrating micro-services is plus
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • Understanding of concepts regarding security, privacy, performance, etc
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    Employee Value Proposition (EVP)

    Work Environment

    hybrid work environment

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    Senior Data Engineer • Plano, TX, United States