Data Engineer

Compass Realty Inc

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profile Job Location:

Lathrop, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 7 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description

Job Responsibilities:

  • Develop construct test and maintain architectures such as databases and large-scale processing systems.
  • Design and implement data pipelines for acquiring storing and processing data from multiple sources.
  • Ensure data quality and integrity by implementing quality control processes.
  • Optimize data infrastructure and architecture for improved efficiency and performance.
  • Collaborate with cross-functional teams to understand data needs and deliver solutions accordingly.

Essential Qualifications:

  • Bachelors degree in Computer Science Information Technology or related field.
  • Proficiency in SQL Python and other programming languages for data manipulation and analysis.
  • Experience working with big data technologies such as Hadoop Spark or Kafka.
  • Strong understanding of data warehousing concepts and data modeling techniques.
  • Excellent problem-solving skills and attention to detail.

Desired Experience:

  • Minimum of 2 years of experience in a data engineering role.
  • Experience with cloud platforms like AWS Google Cloud or Azure.
  • Familiarity with data visualization tools such as Tableau or Power BI.
  • Background in real estate or property data analysis is a plus.

Salary & Benefits:

Salary Range: $25 - $30 per hour

Currency: USD

Benefits: Competitive salary health insurance paid time off professional development opportunities.


Job Description Job Responsibilities: Develop construct test and maintain architectures such as databases and large-scale processing systems. Design and implement data pipelines for acquiring storing and processing data from multiple sources. Ensure data quality and integrity by implem...
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Key Skills

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