MTS 1, Data Engineer at PayPal

San Jose, California, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Feb, 26

Salary

243500.0

Posted On

23 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Computing, Google Cloud Platform, Python, Scala, Apache Hadoop, Apache Spark, Presto, Druid, HDFS, HBase, Hive, Google Bigquery, DataFlow, Kubernetes, Oracle, DB2, SQLServer

Industry

Software Development

Description

Job Duties: Participate and collaborate with Product Owners and Cross functional teams in organization to understand and implement the business solution that can scale. Design, Develop, test and maintain architectures for data pipelines which assembles large, complex sets of data that meet non-functional and functional business requirements. Engineering data-driven solutions for optimal extraction, transformation and loading of data from various data sources using AWS, GCP and SQL technologies. Ensure code quality and maintainability by evolving architecture and tech stack, refactoring, standards and improving build and test systems. Plan the execution of projects in an effective and efficient manner. Contribute to enterprise cloud data platform development using test driven development and agile methodologies to solve business problems using data driven solutions. Monitor and test newly implemented applications for reliability, security, and performance. Document findings and present to senior management with proposed solutions. Utilize the subject matter expertise in big data engineering to design, implement the data lake house and data marts which supports data availability, data scalability and performance. Partial telecommuting permitted from within a commutable distance. Minimum Requirements: Master's degree, or foreign equivalent, in Computer Science, Engineering, or closely related quantitative discipline plus three (3) years of experience in the job offered or three (3) years of experience in the field of software engineering or program analysis or Bachelor's degree, or foreign equivalent, in Computer Science, Engineering or closely related quantitative discipline plus five (5) years of experience in the job offered or five (5) years of progressively responsible experience in the field of software engineering or program analysis. Cloud Computing - Google Cloud Platform. Programming languages - Python and Scala. Apache Hadoop. Apache Spark, Presto,Druid. HDFS,HBase,Hive. Google Bigquery,DataFlow,Kubernetes. Databases -Oracle,DB2 and SQLServer. Batch Scripting. SQL/PLSQL. EOE, including disability/vets. Salary: $158,735.00-$243,500.00 per annum. 40 hours per week; M-F, 9:00 a.m. to 5:00 p.m. The total compensation for this position includes standard company benefits and is based on various factors including but not limited to relevant skills and experience. Your recruiter can share more information about our total compensation package during the hiring process. Must be legally authorized to work in the U.S. without sponsorship. Subsidiary:

Responsibilities

Design, develop, test, and maintain architectures for data pipelines that meet business requirements. Collaborate with cross-functional teams to implement scalable business solutions and monitor newly implemented applications for reliability and performance.