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Data Engineer at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

0.0

Posted On

08 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, PySpark, Pandas, Data Warehousing, AWS Redshift, Google BigQuery, Snowflake, Data Modeling, Schema Design, Optimization Techniques, Data Quality Checks, Documentation, System Performance Monitoring, Troubleshooting, Collaboration

Industry

Software Development

Description

Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff Follows well-established internal conventions and standard procedures Understands internal standards & processes an applies them to make technical decisions Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions May contribute to code & design reviews Ensure data accuracy and integrity through automated data quality checks and validation processes. Monitor system performance, identify bottlenecks, and implement optimizations to improve scalability and efficiency. Troubleshoot and resolve data-related issues quickly to minimize impact on downstream systems. Create and maintain clear documentation for pipeline design, workflows, and processes. Participate in design and code reviews to uphold best practices and coding standards. Stay current on emerging technologies and data engineering trends to continuously improve our data infrastructure. 1+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience. Familiarity in SQL and scripting languages such as Python, with experience working with relational databases. Familiarity in PySpark, Pandas or other data processing libraries. Familiarity with data warehousing concepts and tools, such as AWS Redshift, Google BigQuery, or Snowflake, and experience optimizing performance for large-scale data processing. Experience with data modeling, schema design, and optimization techniques for scalability.

Responsibilities

The Data Engineer implements tasks within the Software Development Lifecycle (SDLC) and ensures data accuracy and integrity through automated checks. They monitor system performance, troubleshoot data-related issues, and create documentation for workflows and processes.