10 days ago
Bengaluru, IndiaMid Level
Responsibilities
- Design scalable data systems and AI-native infrastructure for real-time processing, AI/ML inference, training, and continuous learning.
- Architect infrastructure and best practices for agentic AI systems with multi-agent orchestration.
- Develop GenAI-powered strategies for data quality, entity resolution, and metadata management.
- Own data governance, privacy, and security compliance across datasets in clusters and data lakes.
- Build self-service data platforms with embedded governance, lineage, and data discovery.
- Define data contracts and API standards for reliable, versioned downstream data consumption.
- Architect and optimize AWS infrastructure using EC2, Lambda, S3, Redshift, and EMR.
- Design high-throughput, fault-tolerant data pipelines supporting BI engineers, data scientists, applied scientists, and AI agents.
- Drive infrastructure-as-code practices and reusable deployment patterns using CDK.
- Mentor engineers, conduct code reviews, lead design reviews, and influence technical direction.
- Own operational health of critical pipelines, perform root cause analysis, and reduce operational toil through automation.
- Author and maintain technical design documents and deliver data products with measurable business outcomes.
Requirements
- At least 3 years of data engineering experience.
- At least 4 years of SQL experience.
- Experience with data modeling, data warehousing, and ETL pipeline development.
- Preferred experience with AWS technologies including Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM roles and permissions.
- Preferred experience with non-relational databases and data stores, including object storage, document or key-value stores, graph databases, and column-family databases.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.