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Pig Hive Hadoop Spark HBase AWS ETL Developer Communication Skills Engineer
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Requirement id 103329
Job title Engineer
Job location in Seattle, WA
Skills required Excel, Bachelors Degree, Pig, Hive Hadoop Spark HBase AWS ETL Develope
Open Date 11-Feb-2020
Close Date
Job type Contract to Hire
Duration 6 Months
Compensation DOE
Status requirement not found
Job interview type Face to Face interview
   Email Recruiter: coolsoft
Job Description Engineer: Excel, Bachelors Degree, Pig, Hive Hadoop Spark HBase AWS ETL Develope

Job Description :

Core Responsibilities

Lead architecture design and implementation of next generation BI solution.
Build robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
Mentor and develop other DEs and BIEs.
Build and deliver high quality data architecture to support business analyst, data scientists, and customer reporting needs.
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers


Basic Qualifications

Bachelors degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering).
5+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics.
5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
2+ years of experience in scripting languages like Python etc.
Demonstrated strength in data modeling, ETL development, and Data warehousing. Data Warehousing
Experience with Redshift
Experience with AWS services including S3, Redshift, EMR and RDS.
Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)
Experience in working and delivering end-to-end projects independently.

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
Experience providing technical leadership and mentoring other engineers for best practices on data engineering
Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations

Masters in computer science, mathematics, statistics, economics, or other quantitative field
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 103329 while calling.
 
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(Engineer: Excel, Bachelors Degree, Pig, Hive Hadoop Spark HBase AWS ETL Develope in Seattle, WA)
     
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