Data Engineer

Jepsen Electric

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profile Job Location:

Livermore, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 15 hours ago
Vacancies: 1 Vacancy

Job Summary

Data Engineer Job Description

Job Responsibilities:

  • Design construct install test and maintain highly scalable data management systems
  • Develop and implement data ingestion processes for both batch and real-time streaming data
  • Collaborate with cross-functional teams to gather and understand data requirements
  • Perform data cleansing transformation and validation to ensure data accuracy and integrity
  • Create and maintain data pipelines and workflows to support data analytics and reporting
  • Troubleshoot data-related issues and provide solutions in a timely manner
  • Stay up-to-date with the latest trends and technologies in data engineering

Essential Qualifications:

  • Bachelors degree in Computer Science Engineering or a related field
  • Proven experience in designing and implementing data solutions
  • Proficiency in programming languages such as Python Java or Scala
  • Strong SQL skills for data querying and manipulation
  • Experience working with relational and non-relational databases

Desired Experience:

  • Minimum of 1 year of experience in data engineering or a related role
  • Experience with big data technologies such as Hadoop Spark or Kafka
  • Knowledge of data warehousing concepts and ETL processes
  • Familiarity with cloud platforms like AWS GCP or Azure

Salary & Benefits:

  • Salary Range: $98000 - $108000 per year
  • Company-provided health insurance
  • 401(k) retirement plan with employer matching
  • Paid time off and sick leave
  • Opportunities for career growth and professional development

Data Engineer Job DescriptionJob Responsibilities: Design construct install test and maintain highly scalable data management systems Develop and implement data ingestion processes for both batch and real-time streaming data Collaborate with cross-functional teams to gather and understand data re...
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Key Skills

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