Job summary
As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications
As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications
. Managing AWS resources including EC2,Redshift,EMR-Spark etc
. Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE
. Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies
. Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency
. Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning
. Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
BASIC QUALIFICATIONS
. Bachelor's degree in computer science, engineering, mathematics, or a related technical discipline
. 4+ years of industry experience in software development, data engineering, business intelligence, data science, or related field with a track record of manipulating, processing, and extracting value from large datasets
. Demonstrated strength in data modeling, ETL development, and data warehousing
. Proven experience using big data technologies (Hadoop, Hive, Hbase, Spark etc.)
. Proven experience using business intelligence reporting tools (Tableau, Business Objects, Cognos etc.)
. Knowledge of data management fundamentals and data storage principles
. Knowledge of distributed systems as it pertains to data storage and computing
PREFERRED QUALIFICATIONS
. Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
. Familiarity with statistical models and data mining algorithms
. Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Amazon is an Equal Opportunity - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation