PayPal Hiring Data Engineer

Job Description:

  • Partner with product owner to translate product requirements into business solutions.
  • Must be able to work with a top notch development team in data modeling, designing, coding and implementing ETL and Bigdata solutions in data warehousing environment
  • Formulate hypothesis about the data based on small sample queries and extrapolate findings to payment theories, validating them against ever larger data sets.
  • Write optimized code on large cluster to process and analyze terabytes of data
  • Proactively tune processes to minimize execution times.
  • Design processes to minimize data quality risks and proactively identify potential data issues.
  • Prepare technical design documentation for review with team members.
  • Prepare logical and physical data models for the new processes.


  • End-to-End timely execution of assigned data projects, which includes interacting with business as needed, identify and apply innovative ideas, design database objects and ETL processes, develop code, testing and deployment.
  • Understands the business and can contribute to technology direction that contributes to measurable business improvements.
  • 100% adherence to the set delivery standards and agile process.
  • Can triage and resolve site issues without supervision.
  • Meet set targets for SLA Batches by actively engaging in identifying and addressing potential issues.
  • Identify opportunities to improve existing data platforms and innovate.
  • Identifies opportunities for engineering productivity improvements or directions, and evangelizes these successfully.

Job Requirements

  • 7+ years experience in building scalable, distributed, fault-tolerant data warehouse and Bigdata applications.
  • Must have excellent knowledge and at least 5+ years experience in DB design and development and performance tuning.
  • Must have very good knowledge and at least 2+ years experience in Bigdata like Hive, Pig and Spark ecosystems
  • Solid experience building data-driven applications/systems.
  • Must have excellent knowledge and as a developer of ETL applications with Informatica PowerCenter 9 and above
  • Strong skills working with relational databases (Teradata, Oracle, etc…), HDFS, Hive, Pig, Scala and Spark.
  • Experience, or familiarity, with NoSQL technologies (Mongo, Hadoop, cassandra, etc.) is a plus.
  • Exposure to Unix/Linux environment with the abiltity to write shell scripting is preferred.
  • Experience translating unstructured data into valuable analytical information.
  • Hands on experience working with source control systems (e.g., GIT).
  • Must have strong analysis and design skills, translating requirements into technical specifications and design documents.
  • Ability to create engineering requirements and technical designs from business requirements.
  • Agile and Waterfall SDLC experience. Able to work independently and as part of a team.
  • Background in data warehousing with Finance / Credit industry is a huge plus.
  • Experience with data modeling tool such as PowerDesigner will be a plus.
  • Experience with Reporting tool Microstrategy/Tableau will be a plus.