Job Description

DESCRIPTION

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As a data engineer, you will be building business pipelines to integrate tech systems to data layer to enable reporting.



Key job responsibilities

Managing AWS resources including EC2,Redshift,EMR-Spark etc



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

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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

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Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.


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