ADCI
Business Intelligence, Data Engineering, Retail
DataEngineer-I,DAVENGERS(DataAvengers)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer - I, DAVENGERS(Data Avengers) at ADCI. Skills: Data engineering, ETL pipelines, Machine learning models. Design analytical data infrastructure. Implement analytical data infrastructure”
Industry & Context.
Data integrity; Test design; Analysis; Validation
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with data modeling, Experience building ETL pipelines, Experience with one or more query language, Experience with one or more scripting language
Nice to Have
Experience with big data technologies, Experience with any ETL tool
What You'll Do.
Design analytical data infrastructure
Implement analytical data infrastructure
Support analytical data infrastructure
Collaborate with applied scientist
Integrate data pipeline
Collaborate with Product Managers
Collaborate with Financial analysts
Collaborate with Business analysts
Recognize best practices in reporting
Help adopt best practices in reporting
Recognize best practices in analysis
Help adopt best practices in analysis
Extract data from data sources
Transform data from data sources
Load data from data sources
Explore AWS technologies
Learn AWS technologies
Provide new capabilities
Collaborate with other tech teams
Implement advanced analytics algorithms
Exploit datasets for statistical analysis
Exploit datasets for prediction
Exploit datasets for clustering
Exploit datasets for machine learning
Help continually improve reporting processes
Help continually improve analysis processes
Automate reporting processes
Simplify reporting processes
Automate analysis processes
Simplify analysis processes
How You'll Work.
Team & Collaboration
Applied scientist; Product Managers; Financial analysts; Business analysts; Other technology teams
Full 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: - 1+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) Preferred Qualifications: - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a wor
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