Job Summary
Location
Karnataka,Bangalore
Experience
4 - 7 years
Skills
Machine Supervisor, Data Processing,
Data Entry Machine Operator
Last Date to Apply
28 Apr 2021
 
Data Engineer
Amazon
Posted on: 27 Feb 2021
Job Description


Job Description :
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

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