Remote Data Engineer

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Description:

  • The Data Engineer will collaborate with Data & Technical Architects, integration, and engineering teams to capture requirements and develop data pipeline solutions.
  • They will support the evaluation and implementation of data technologies to meet evolving needs.
  • Responsibilities include working with IT business engagement, applications engineers, and data partners to identify and define data source requirements and ensure data quality.
  • The Data Engineer will develop data preparation tools, build data pipelines for integration into Zscaler's Snowflake data warehouse, and establish data management standards in collaboration with Principal Engineers.

Requirements:

  • Over 3 years of experience in data warehouse design and development.
  • Proficient in building data pipelines to integrate business applications (e.g., Salesforce, Netsuite, Google Analytics) with Snowflake.
  • Proficiency in SQL, data modeling techniques (Dimensional), and writing efficient queries on large datasets.
  • Hands-on experience with Python for extracting data from APIs and building data pipelines; experienced in ELT tools like Matillion, Fivetran, Talend, and IDMC.
  • Experienced in data transformation tools like DBT, AWS services (EC2, S3, Lambda), CI/CD processes, Git versioning, and advanced Snowflake concepts, with knowledge of data visualization tools like Tableau and Power BI.

Benefits:

  • Remote work options available.
  • Comprehensive benefits program including various health plans, time off plans for vacation and sick time, parental leave options, retirement options, education reimbursement, and in-office perks.
  • Salary range for the full-time position is $98,000β€”$140,000 USD, excluding commission/bonus/equity (if applicable) + benefits.
  • Zscaler is an equal opportunity and affirmative action employer, committed to creating an inclusive environment for all employees.
About the job
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$ 98,000 - 140,000 USD / year
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