Data Engineer

Overview

On Site
Full Time

Skills

Cloud Computing
HDFS
Extract
Transform
Load
ELT
Unix
Shell Scripting
Replication
Python
Scratch
Data Engineering
Apache Hadoop
Big Data
Streaming
API
Query Optimization
Performance Tuning
Database Administration
RDBMS
Oracle
MySQL
SQL
NoSQL
Database
Apache Spark
Microsoft SQL Server
MongoDB
Amazon Web Services
Google Cloud Platform
Google Cloud
Pivotal
Cloud Foundry
Microservices
Apache Kafka
Agile
Privacy
Marketing

Job Details

Location: Chandler, AZ
Description: Our client is currently seeking a Data Engineer

Location(s) Approved: Chandler AZ or Irving TX

Top Skillset Requirements:

Deep understanding of Hadoop / Cloud platforms, HDFS, ETL/ELT process and Unix shell scripting.

Deep understanding of distributed systems (CAP theorem, partition and bucketing, replication memory layouts, consistency)

Python Experience

Building Microservices from scratch

Experience with Apache Kafka or Confluent Enterprise

Ability to work effectively, as well as independently, in a team environment

Toolbox Requirements:

6+ years of Data Engineering experience.

3+ years of experience working in Spark, Hadoop and Big Data experience

3+ years of experience working on Spark SQL, Streaming and data frame/dataset API experience

3+ years of experience working on Spark query tuning and performance optimization

3+ years of experience working with Relationship Database Management Systems (RDBMS) such as SQL Server, Oracle or MySQL

3+ years of experience with SQL & NOSQL database integration with Spark (MS SQL server and MongoDB)

3+ years of experience with Amazon Web Services (AWS), Google Cloud Platform (Google Cloud Platform) or Pivotal Cloud Foundry (PCF)

3+ years of microservices development experience

2+ years of experience with Apache Kafka or Confluent Enterprise

2+ years of Agile experience

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Contact:

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