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Data Engineer - I, DAVENGERS(Data Avengers)

1.00 to 4.00 Years   Noida   07 May, 2022
Job LocationNoida
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    Job summaryAs 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
    ,
    • 1+ years of experience as a Data Engineer or in a similar role
    • Experience with data warehousing, and building ETL pipelines
    • Experience in SQL
    • Bachelors 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

Keyskills :
javapythondata warehousingbusiness intelligence reportinginformatica

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