Data Engineer, JWO Tech
Job Description:
The Data Engineer role within Amazon's Just Walk Out (JWO) Tech team focuses on designing, building, and maintaining scalable data pipelines for Amazon's checkout-free shopping experience. This role entails handling both internal and retailer-facing data, ensuring efficient and reliable data flows across systems, and maintaining high data quality and consistency. You'll collaborate with cross-functional teams, develop robust data architectures, implement data governance policies, and resolve data-related issues. Additionally, you'll contribute to the design of efficient data models and optimize data processes.
Location: ADCI - Karnataka
Job ID: 2744761
Key Responsibilities:
- Design and develop high-performance, fault-tolerant data pipelines for structured and unstructured data from multiple sources.
- Implement automated data ingestion and transformation processes using industry-standard tools.
- Ensure data quality, consistency, and security throughout the data lifecycle.
- Collaborate with Data Engineers, Software & ML Engineers, Product Managers, and Technical Program Managers to support JWO's business requirements.
- Lead the evolution of the data platform, implement data governance policies, and ensure compliance.
- Design scalable data models and establish monitoring systems for data pipeline health.
- Resolve data bottlenecks and inefficiencies while optimizing data processes.
- Mentor junior engineers and document architectures for maintainability.
About the Team:
The Just Walk Out team is transforming retail by developing technology for a hassle-free, checkout-free shopping experience using advanced computer vision, sensor fusion, and machine learning. With a startup-like environment, the team values innovation, collaboration, and continuous learning, fostering a culture where risks and experimentation are encouraged.
Why AWS:
AWS offers a comprehensive cloud platform, renowned for its innovation and trusted by organizations worldwide. Here, employees benefit from a work-life balance, inclusive culture, mentorship programs, and career growth resources.
Basic Qualifications:
- 3+ years of experience in data engineering.
- Proficiency in data modeling, warehousing, and building ETL pipelines.
Preferred Qualifications:
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
- Familiarity with non-relational databases, including object storage, document or key-value stores, graph databases, and column-family databases.
This position is ideal for a proactive Data Engineer with experience in AWS technologies, data modeling, and a passion for innovating in the retail space.