Data Engineer - III, DAVENGERS(Data Avengers)

Data Engineer - III, DAVENGERS(Data Avengers)

4-7 years
Not Specified

Job Description

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


. 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


. 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

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About Amazon strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - continues to grow and evolve as a world-class e-commerce platform. Amazon's evolution from Web site to e-commerce partner to development platform is driven by the spirit of innovation that is part of the company's DNA. The world's brightest technology minds come to to research and develop technology that improves the lives of shoppers and sellers around the world.

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