Senior Data Engineer, Selling Partner Agentic Interfaces Data Products
- Salary
- ₹34–59 LPA
- Location
- Bengaluru
- Level
- Senior
- Experience
- Senior · 7+ years
About company
- Own the design, implementation, and evolution of large-scale data architecture on AWS (Kinesis, EMR, Spark, Glue, Redshift, Athena, S3, Lake Formation), providing system-wide technical guidance and ensuring all data products meet production-grade reliability, scalability, and security standards - Write exemplary, production-quality code in Java, Scala, and Python to build streaming and batch data pipelines that process terabytes of telemetry data daily across distributed systems, with proper testing, lineage documentation, and quality controls. SQL proficiency is expected as a baseline. - Design and maintain the canonical event schema and standardized, reusable data products following data mesh governance principles that eliminate metric inconsistencies and enable self-service analytics for 50+ domain teams - Build and operate ETL and ELT pipelines using AWS-native services (Glue, EMR, Step Functions, Lambda) and JVM-based frameworks (S BASIC QUALIFICATIONS - 7+ years of data engineering experience - 5+ years of development/programming/scripting language (Python/Java/Bash/Perl) experience - Experience with AWS services including S3, Redshift, Sagemaker, EMR, Kinesis, Lambda, and EC2 - Experience with data modeling, warehousing and building ETL pipelines - Experience leading engineering teams as a mentor or tech lead, or experience leading the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems PREFERRED QUALIFICATIONS - Experience in any Bigdata architecture, or experience managing full application stacks from the OS up through custom applications and experience with automation and any version control tools - Experience in Kafka, or experience in any Bigdata architecture and experience in Redshift - Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding
About Amazon
Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.