Senior Data Engineer ( Toyota Connected)
- +2
- +9
- Texas, United States
- +2
- +9
- Texas, United States
À propos
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
Compétences idéales
- AWS
- AWS Lambda
- Amazon Kinesis
- SQL
- Java
- Scala
- Terraform
- Kubernetes
- Microservices
Expérience professionnelle
- Data Engineer
- Data Infrastructure
Compétences linguistiques
- English