Data Engineer, IN Data Engineering & Analytics

- Design, implement and support an data infrastructure for analytics needs of large organization - Adopt and drive AI-native practices while building data solutions. Build AI-powered products for business requirements - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using Redshift SQL, Spark SQL and other AWS big data technologies - Optimize data pipelines, build and manage Python-based automations/tools for data pipelines - Be enthusiastic about building deep domain knowledge about Amazon’s business - Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment - Enjoy working closely with your peers, stakeholders and customers. - Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience working on and delivering end to end projects independently - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

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.