Data Engineer, Flex Analytics

In this role, you will have the opportunity to use your skills in the following areas: * Create and support data pipelines built on Amazon and AWS technologies including Spark, Cradle, DataCraft, Glue, Kinesis, and Redshift/Spectrum * Develop and improve the current data architecture, data quality, monitoring and data availability * Collaborate with BI Engineers to continually improve ongoing reporting and analysis processes, simplifying self-service support for customers * Design, implement, and support platforms that provide business teams ad-hoc access to large datasets (ex. data visualization tools for non-tech business users) * Participate in strategic and tactical planning discussions that drive the DE team’s work 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.