Data Engineer

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 30+ days 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 databases data collection systems data analytics and other strategies that optimize statistical efficiency and quality
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
  • Create data tools for analytics and data scientist team members
  • Analyze large datasets to discover trends patterns and insights
  • Ensure data quality and integrity throughout all data processes
  • Collaborate with cross-functional teams to gather and analyze data requirements

Essential Qualifications:

  • Bachelors degree in Computer Science Information Technology or related field
  • Proficiency in SQL and NoSQL databases
  • Experience with data modeling data warehousing and building ETL pipelines
  • Strong programming skills in languages like Python Java or Scala
  • Knowledge of data visualization tools such as Tableau or Power BI

Desired Experience:

  • Minimum of 1 year of experience in a data engineering role
  • Experience working with cloud platforms like AWS Azure or Google Cloud
  • Familiarity with big data technologies such as Hadoop Spark or Kafka
  • Excellent problem-solving skills and the ability to work independently

Salary & Benefits:

The salary for this position ranges from $85000 to $95000 annually with additional benefits such as health insurance paid time off and opportunities for professional development.


Data Engineer Job Description Job Responsibilities: Design construct install test and maintain highly scalable data management systems Develop and implement databases data collection systems data analytics and other strategies that optimize statistical efficiency and quality...
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Key Skills

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