Data Engineer II, TSE Operations Analytics

- Architecture design and implementation of next generation data pipelines and BI solutions - Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, Glue, Apache Airflow etc. - Build and deliver high quality data architecture and pipelines to support business analyst, data scientists, and customer reporting needs. - Interface with other technology teams to extract, transform, and load data from a wide variety of data sources - Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers BASIC QUALIFICATIONS - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with SQL - Knowledge of distributed systems as it pertains to data storage and computing - Proficiency in at least one modern programming language, whether it's Java, Scala, or Python. 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) - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, tes

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.