Data Engineer 489958

RightTalents LLC

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profile Job Location:

Peoria, IL - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Title: Data Engineer
Client: Rose International
Location: Peoria IL (Onsite)
Duration: 12 Months
Work Hours: 40 Hours/Week

Job Description

We are seeking a highly skilled Data Engineer to support data engineering requests build pipelines and manage data tables for Global Parts Pricing. The role involves understanding business requirements designing data solutions and delivering with a high degree of autonomy. The ideal candidate will have strong experience in AWS cloud tools PySpark Snowflake and GitHub along with strong problem-solving and communication skills.

Key Responsibilities:

  • Support data engineering requests including building data pipelines and managing data tables.
  • Understand and analyze requirements and business impacts through intake meetings.
  • Design and deliver scalable data solutions using AWS and Snowflake.
  • Manage development deployment and releases on a bi-weekly cadence.
  • Collaborate with cross-functional teams across the organization.

MANDATORY SKILLS

  • 5 7 years of experience with a Bachelors Degree (or 3 5 years with a Masters Degree).
  • EMR PySpark
  • EMR Lambda
  • AWS Tools (Athena Glue CloudFormation)
  • Git/GitHub
  • Snowflake
  • Requirements Gathering
  • Strong programming communication and problem-solving skills

DESIRABLE SKILLS

  • Experience supporting global or enterprise-level data engineering environments.
  • Familiarity with Agile development and bi-weekly release cadences.
  • Exposure to data modeling and ETL processes in AWS ecosystems.

Title: Data Engineer Client: Rose International Location: Peoria IL (Onsite) Duration: 12 Months Work Hours: 40 Hours/Week Job Description We are seeking a highly skilled Data Engineer to support data engineering requests build pipelines and manage data tables for Global Parts Pricing. The role...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala