Data Engineer

Bing Surf Shop

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profile Job Location:

Encinitas, CA - USA

profile Monthly Salary: Not Disclosed
Posted on: 8 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description: Data Engineer at Bing Surfboards

Job Responsibilities:

  • Design develop and data pipelines and ETL processes to support data analytics and reporting needs.
  • Collaborate with cross-functional teams to understand business requirements and transform them into technical solutions.
  • Optimize and tune data storage and processing systems for performance and scalability.
  • Implement data quality and governance processes to ensure data accuracy and consistency.
  • Identify and resolve data-related issues and troubleshoot technical problems as they arise.

Essential Qualifications:

  • Bachelors degree in Computer Science Engineering or related field.
  • Proven experience in data engineering data analysis or a related field.
  • Strong proficiency in SQL and other data querying languages.
  • Experience with data warehousing solutions and ETL tools.
  • Knowledge of data modeling and database design principles.

Desired Experience:

  • 2 years of experience in a data engineering role.
  • Experience working with big data technologies like Hadoop Spark or Kafka.
  • Familiarity with cloud platforms such as AWS GCP or Azure.
  • li>Experience with data visualization tools like Tableau or Power BI.

Salary & Benefits:

The salary for this position ranges from $30000 to $40000 annually depending on qualifications and experience. Employees will also receive benefits such as health insurance paid time off and potential performance bonuses.

Job Description: Data Engineer at Bing Surfboards Job Responsibilities: Design develop and data pipelines and ETL processes to support data analytics and reporting needs. Collaborate with cross-functional teams to understand business requirements and transform them into tech...
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Key Skills

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