Data Engineer

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

Hadoop
Big Data
Python
Scala
SQL
Spark
GCP
Hive

Job Details

Job Title: Data Engineer
Location: Bentonville, AR (Day 1 On-Site)
Duration: Long Term

Mandatory Skill sets
5 + years of experience in Hadoop/Big Data
2+ years of experience in strategic data planning, standards, procedures, and governance
4+ years of hands-on experience in Python or Scala
3+ years of experience in writing and tuning SQLs, Spark queries
Experience in understanding and managing Hadoop Log Files, Hadoop multiple data processing engines.
Experience in analysing data in HDFS through Map Reduce, Hive and Pig
Experience with scripting languages: Python, Scala, etc.
3+ experience in Google Cloud Platform environment

Other required skills

Strong verbal and written communication skills to effectively share findings with shareholders.
Good understanding of web-based application development o Should be an independent contributor from day one.
A bachelor s degree in computer science or relevant fields is mandatory.
Should be hands on and be able to work in an agile, fast-moving environment.

CALLOUT:

1. This is an independent position and resource should be able to work independently from day 1
2. This is a 5 day in person position. No hybrid or remote working options are available - don't apply if this is not for you

As a Data Engineer, this is your opportunity to:
Assembling large to complex sets of data that meet non-functional and functional requirements
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources
Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
Work on a multi-vendor multi-geo team support one of the complex enterprise environments

Torque Technologies LLC is an Equal Opportunity Employer (EOE). Qualified applicants are considered for employment without regard to age, race, color, religion, sex, national origin, sexual orientation, disability, or veteran status.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.