Quick overview
Job description
Responsibilities:
- Create and maintain optimal data processing pipeline architecture
- Build the infrastructure required for optimal extraction, transformation, and loading of data using SQL and big data technologies.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Identify, analyze, and interpret trends or patterns in complex data sets
- Work with stakeholders including the Executive, Engineering, and Operation teams to assist with data-related technical issues and support their data infrastructure, analysis, and reporting needs
- Keep our data secure through multiple data centers and AWS regions
Required Skills:
- MS in Computer Science, Electrical Engineering, or related field
- 1+ years of software engineering experience
- Good oral and written communication skills
- Expertise in Python, SQL, microservices, databases, data pipelines
- Technical expertise regarding data models, database design and development, data mining and segmentation techniques
- Experience with large scale data processing, e.g. MapReduce, Spark, Kafka
- Experience with AWS core technologies such as S3, EC2, RDS
- Extensive software design and development skills
- Ability to learn and adapt to new technologies and contribute in a productive environment.
- Strong knowledge of and experience with reporting packages
Preferred Skills
- Experience with deep learning frameworks (e.g. TensorFlow, PyTorch)
- Experience working with autonomous vehicles or robotics.
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