Job Id: 20200926008
Job Role: Data Engineer – 3
Experience: 5+ Years
Job Location: Bangalore
Salary: Best in Industry
Vacancies: Not Mentioned
Job Description Paypal Recruitment 2020 Job Vacancies for Data Engineer in September 2020:
Work with extremely talented peers in a fun environment building performance efficient, highly scalable, configurable solutions spanning multiple technologies and platforms –Teradata, Python, ETL, HIVE, Microstrategy, Tableau, PowerBI, Shell, SQLserver, etc.
Building statistical and machine learning models for complaints, prediction and classification.
Works with PayPal business units and Product Dev teams to design, develop and deliver data solutions on one of the largest data platforms in the world.
Supports PayPal business units by providing data in a ready-to-use form to data analysts and data scientists for Business insights, predictive analytics, machine learning, etc.
Good understanding of Data Warehousing and Business Intelligence Application Design & Development
Code is well-commented, easy to maintain, and can be reused across a sub-system or feature. Code may persist for the lifetime of a software version
Code is thoroughly tested with very few bugs, and is supported by unit tests.
Recognized as the go-to developer for a product or major system and is seen as a leader in their specialized field.
Participates in discussions, proposes and discusses solutions to system and product changes that are directly related to their area of focus.
Should be comfortable working in an agile environment and with cross-functional teams, should have appetite to learn and be flexible to pick up new technology.
Deliver strong SQL development and maintenance techniques surrounding data movement.
5+ years working in data engineer or a similar role in large enterprise data warehouse teams preferred.
Core statistical and neural network concepts
Classical ML and Deep learning Algorithms and some NLP and text based AI models experience
Use of Python with Database tools such as Hive/Hadoop or Teradata
Optimize ETL processing of extremely large datasets; Optimization for SLAs
Possess knowledge of data warehouse architectures, ETL, reporting/analytic tools, and data security & compliance
Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
Works closely with a team of frontend and backend engineers, product managers, and analysts.
Excellent problem solving and troubleshooting skills
Process oriented with great documentation skills
Excellent oral and written communication skills with a keen sense of customer service
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
Able to communicate effectively with all levels of management in a clear and professional manner; verbally and written, and possess superior people management and leadership skills