3 months ago
Santa Clara, CA, USAEntry Level
Base Salary
$135k - $180k/yr
Responsibilities
- Create and maintain data-processing pipeline architecture.
- Build scalable ETL infrastructure using SQL and big data technologies.
- Automate manual processes, improve data delivery, and redesign infrastructure for scalability.
- Build analytics tools for customer acquisition, operational efficiency, and other business metrics.
- Analyze complex datasets, identify trends, apply statistical techniques, and provide reports.
- Support executive, engineering, and operations stakeholders with data infrastructure, analysis, reporting, and technical issue resolution.
- Secure data across multiple data centers and AWS regions.
Requirements
- A master's degree in Computer Science, Electrical Engineering, or a related field is required.
- At least 1 year of software engineering experience is required.
- Expertise in Python, SQL, databases, and data pipelines is required.
- Experience with data models, database design and development, data mining, segmentation, and large-scale data processing is required.
- Experience with technologies such as MapReduce, Spark, and Kafka is required.
- Experience with AWS services including S3, EC2, and RDS is required.
- Strong software design and development skills and experience with reporting packages are required.
- Strong oral and written communication skills and the ability to learn and adapt to new technologies are required.
- Experience with TensorFlow or PyTorch is preferred.
- Experience with autonomous vehicles or robotics is preferred.
Benefits
- Highly competitive salary and benefits package, including a 401(k) plan.
- Catered free lunch, unlimited snacks, and beverages.
- Opportunities for personal and professional development in a future-oriented field.
Tech Stack
Categories
Data Engineering
