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Database Engineer at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Database Engineering, Apache Hadoop, Google Cloud Platform, SAP HANA, Code Reviews, Data Pipelines, Model Building, Data Analysis, Python, Bash, Oracle Databases, Cloud Networking, Automation, Generative AI, Technical Solutions, Troubleshooting

Industry

Software Development

Description

Contribute to the development of scalable systems on platforms like Apache Hadoop, Google Cloud Platform (GCP), and SAP HANA. Participate in technical discussions and assist in code reviews to ensure quality and adherence to standards. Learn and apply engineering best practices under the guidance of senior team members. Write maintainable and efficient code to support secure and highly available systems. Assist in defining, developing, integrating, testing, documenting, and supporting technical solutions. Support the development of high-performance data pipelines capable of handling large-scale workloads. Collaborate with the data team to analyze datasets, contribute to model building, and assist in creating reports and visualizations using Google Cloud tools. Gain hands-on experience deploying large-scale data solutions within an enterprise environment. Follow established project management frameworks and adhere to development processes under the supervision of senior engineers. Support the design, development, troubleshooting, and debugging of software programs for databases, applications, tools, and networks. Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience. Experience with enterprise-grade database technologies and large-scale data platforms Experience designing mission-critical data infrastructure at petabyte scale Experience with GCP cloud-native DBs like BigTable and Spanner, Cloud networking, and architecture Experience with managing Oracle databases Proficiency in automation and scripting languages (Python, Bash) Demonstrated leadership in cross-functional collaboration and high-impact delivery Experience with generative AI tools for database optimization preferred

Responsibilities

Contribute to the development of scalable systems and assist in defining, developing, integrating, testing, documenting, and supporting technical solutions. Collaborate with the data team to analyze datasets and support the development of high-performance data pipelines.