Network Reliability Engineering organization needs to design, build, and maintain the data infrastructure that powers statistical analyses and machine learning initiatives
Requirements
- Expertise in data pipeline tools such as Apache Spark, Apache Beam, or Apache Flink
- Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift
- Strong programming skills in languages such as Python, Java, or Scala
- Solid understanding of data structures and algorithms for designing and implementing efficient, scalable data processing systems
- Experience with containerization technologies such as Docker and Kubernetes
- Experience analyzing data, generating insights, and telling stories with data
- Strong understanding of data governance, data quality, and data security principles
Responsibilities
- Design, build, and maintain large-scale ETL data pipelines to support statistical analyses and machine learning model training, testing, and deployment
- Collaborate with data scientists and other stakeholders to understand data needs and develop effective solutions
- Create comprehensive data strategies to enable reporting, analytics, and machine learning
- Conduct research to evaluate data and answer strategic business questions
- Generate actionable insights and enable reporting through data transformation, statistical analyses, and machine learning methods
- Fine-tune and optimize algorithms and models to ensure scalability, reliability, and high performance
- Develop and maintain data architectures that support data warehousing, data lakes, and data governance
Other
- BS (or equivalent experience) in Data Science, Computer Science, Engineering, or a related quantitative or technical field
- 8+ years of data science or software engineering experience
- Excellent communication and collaboration skills
- US: Hiring Range in USD from: $96,800 - $223,400 per year. May be eligible for bonus and equity
- Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates