Data Engineer II, Sales Data Services (SDS)

• Design, implement, and support data warehouse data lake infrastructure using AWS big data stack, Python, Redshift. • Develop and manage ETLs to source data from various data lakes and create unified data model for analytics and reporting • Empower technical and non-technical, internal customers to drive their own analytics and reporting (self-serve reporting) and support ad-hoc reporting when needed. • Develop deep understanding of vast data sources and know exactly how, when, and which data to use to solve particular business problems. • Manage numerous requests concurrently and strategically, prioritizing when necessary collaborate across teams to deliver results. • Mentor other engineers, influence positively team culture, and help grow the team. BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets - Experience with SQL - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS 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)

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.