Data Engineer, Conversational Shopping Data Engineering

• Design data schema and operate internal data warehouses and SQL/NOSQL database systems. • Design data models, implement, automate, optimization and monitor data pipelines • Own the design, development and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions • Analyze and solve problems at their root, stepping back to understand the broader context • Manage Redshift/Spectrum/EMR infrastructure, and drive architectural plans and implementation for future data storage, reporting, and analytic solutions • Work on different AWS technologies such as S3, Redshift, Lambda, Glue, etc.. and Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency • Work on data lake platform and different components in the data lake such as Hadoop, Amazon S3 etc. • Work on SQL technologies on Hadoop such as Spark. Hive, Impala etc. • Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. • Must possess verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment. • Conduct rapid prototyping and proof of concepts • Conceptualize and develop automation tools for bench marking data collection and analytics • Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies BASIC QUALIFICATIONS - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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.