Data Engineer, Amazon Payment Products

*Design logical and physical data models for complex, multi-grain datasets. Define fact/dimension structures, handle SCDs, and optimize for downstream query patterns. *Implement data ingestion pipelines (real-time and batch) using AWS technologies and big data tools, following best practices in ETL/ELT design. *Evaluate and select appropriate data storage and processing technologies based on access patterns, cost, scalability, and latency trade-offs. *Own data quality frameworks including validation, reconciliation, SLA definition, and certification of production datasets. *Gather business and functional requirements; translate into robust, scalable, operable solutions with flexible and adaptable data architecture. *Collaborate with engineers and scientists to adopt best practices in data system creation, data integrity, test design, analys BASIC QUALIFICATIONS - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience working on and delivering end to end projects independently PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Experience providing technical leadership and mentoring other engineers for best practices on data engineering - Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

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.