Data Engineer

Cardinal Integrated Technologies, Inc.

$90K — $120K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of experience with Hadoop/Big Data
  • 4+ years of hands-on experience in Scala or Python
  • 3+ years of experience in SQL and GCP environments
  • 2+ years in strategic data planning and governance
  • Strong communication skills for effective stakeholder engagement

Responsibilities

  • Assemble large and complex data sets to meet requirements
  • Identify and redesign infrastructure for scalable data delivery
  • Build infrastructure for optimal data extraction, transformation, and loading
  • Create analytical tools to provide insights on business metrics
  • Assist stakeholders with data-related technical issues
  • Collaborate within a multi-vendor, multi-geo team in a complex environment

Benefits

  • Opportunity to work with cutting-edge technologies
  • Engagement with cross-functional teams including executives
  • Enhancement of skills in a fast-paced environment
  • Potential for impact on operational efficiency and customer metrics
  • Promotion of strategic data governance practices
Full Job Description
Role: Data Engineer
Request-ID: 15122-1
Onsite - Bentonville, AR


Mandatory Areas
Must Have Skills -

Hadoop- 5+ Yrs of Exp
Scala - 4+ Yrs of Exp
GCP -3+ Yrs of Exp
Hive- 4+Yrs of Exp
SQL - 3+ Yrs of Exp
strategic data planning, standards, procedures, and governance- 2+ Yrs
ETL Process / Data Pipeline - 4+ Years of experience

JD:
Client is looking for a Data Engineer strong background in data projects. The ideal candidate should be an expert in leading projects in developing and testing data pipelines, data analytics efforts, proactive issue identification and resolution and alerting mechanism using traditional, new and emerging technologies. Excellent written and verbal communication skills and ability to liaise with technologists to executives is key to be successful in this role.

As a Data Engineer at UST Global, 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 environment

Mandatory Skill sets

• Technology expectations
o 5 + years of experience in Hadoop/Big Data
o 2+ years of experience in strategic data planning, standards, procedures, and governance
o 4+ years of hands-on experience in Python or Scala
o 3+ years of experience in writing and tuning SQLs, Spark queries
o Experience in understanding and managing Hadoop Log Files, Hadoop multiple data processing engines.
o Experience in analysing data in HDFS through Map Reduce, Hive and Pig
o Experience with scripting languages: Python, Scala, etc.
o 3+ experience in GCP environment
• Other required skills
o Strong verbal and written communication skills to effectively share findings with shareholders.
o Good understanding of web-based application development
o Should be an independent contributor from day one.
o A bachelor's degree in computer science or relevant fields is mandatory.
o Should be hands on and be able to work in an agile, fast moving environment.

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