Data Engineer

Rock Auto Service

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profile Job Location:

Niles, MI - USA

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

Job Summary

Job Description: Data Engineer at Rock Auto Service

Job Responsibilities:

  • Design build and maintain scalable data pipelines to collect and process large volumes of data from internal and external sources
  • Develop and implement data integrations and ETL processes to ensure data quality and consistency
  • Create data models and algorithms to support data analysis and business intelligence initiatives
  • Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions
  • Optimize data storage and retrieval processes for improved efficiency and performance
  • Monitor data systems and troubleshoot any data-related issues or anomalies
  • Stay up-to-date with the latest trends and technologies in data engineering to drive innovation and continuous improvement

Essential Qualifications:

  • Bachelors or Masters degree in Computer Science Data Science or related field
  • Proven experience as a Data Engineer or in a similar role
  • Proficiency in programming languages such as Python SQL and Java
  • Strong understanding of data warehousing ETL processes and data modeling
  • Excellent problem-solving skills and attention to detail
  • Ability to work independently and in a team environment

Desired Experience:

  • Minimum of 1 year of experience in data engineering
  • Experience with cloud platforms such as AWS GCP or Azure
  • Familiarity with big data technologies like Hadoop Spark or Kafka
  • Experience with data visualization tools such as Tableau or Power BI

Salary & Benefits:

  • Minimum Salary: $98000 per year
  • Maximum Salary: $135000 per year
  • Currency: USD
  • Benefits: Health insurance retirement plans paid time off professional development opportunities
Job Description: Data Engineer at Rock Auto Service Job Responsibilities: Design build and maintain scalable data pipelines to collect and process large volumes of data from internal and external sources Develop and implement data integrations and ETL processes to ensure data quality and ...
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Key Skills

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