Amazon Business Intelligence Engineer II IES Shopex 

India, Karnataka 

936929361

Key job responsibilities
QUALIFICATIONS - Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering). - 5+ years of hands-on experience writing SQL queries. - Experience with building and maintain basic data artifacts (e.g. ETL, data models, queries).Experience with AWS services including S3, Redshift, EMR, Kinesis and RDS. - Experience in working and delivering end-to-end projects independently. - Knowledge of distributed systems as it pertains to data storage and computing. - Experience with one or more data visualization tools (e.g. Tableau, Quicksight, PowerBI) and statistical methods (e.g. t-test, Chi-squared). - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Knowledge of SQL and data warehousing concepts - Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
PREFERRED QUALIFICATIONS · Inquisitive mindset, with proven problem solving ability, and a passion for big data. · Experience with building multi-dimensional data models to serve as a foundation for future analyses · Experience building/operating highly available, distributed systems of data extraction, ingestion, data modelling and processing of large data sets · Demonstrate proficiency with various approaches in regression, classification, and cluster analysis · Knowledge and experience in data visualization/reporting software (e.g., Tableau). · Advanced SQL / datamining skills and analytical tools (like R / Python / SAS)

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling