Job Location: Bangalore
- 1+ years of experience as a Data Engineer or in a similar role
- Experience with data warehousing, and building ETL pipelines
- Experience in SQL
- Deep hands-on technical expertise
- Excellent verbal and written communication skills
- Strong business and technical vision
Job summary
Over the past 20 years Amazon has earned the trust of over 300 million customers worldwide by providing unprecedented convenience, selection and value on Amazon.com. By deploying Amazon Payโs products and services, merchants make it easy for these millions of customers to safely purchase from their third party sites using the information already stored in their Amazon account.
About the position:
Amazon Pay organization is looking for a passionate, results-oriented Data Engineer.
- Understand business requirements and map them to technical requirements
- Build/Scale workflows to compute, process and serve KPIs in all domains and languages
- Manage workflow tools and processes to ensure they are efficient, high quality, and scalable.
- Contribute to the architecture, design and implementation of next generation BI and science solutions โ including streaming data applications.
- Manage AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda etc.
- Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
- Analyze the customer issues at individual and aggregate level to draw key insights and inform programs and business prioritizations
- Collaborate with Product managers, SDEโs, data scientists, BIEs and BAs to deliver high quality data architecture and pipelines.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources
- Bachelor’s degree or higher in an engineering background (e.g., CS, CE, or EE degree or equivalent experience)
- Relevant experience in one of the following areas: Data engineering, database engineering or business intelligence
- Hands-on experience in writing complex, highly-optimized SQL queries across large data sets
- Experience in scripting languages like Shell Script, Python etc.
- Demonstrated strength in data modeling, ETL development, and Data warehousing
- Experience with AWS services including S3, Redshift, EMR, Kinesis and RDS (optional)
- Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.) (optional)
- Experience in working and delivering end-to-end projects independently
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