Senior Data Engineer

The candidate will be part of PayPal Data Engineering Team. The candidate will be responsible for analysis, design, coding, and testing of the Data applications and ETL Engg. The candidate may have to interact with global cross-functional teams to address complex business requirements. The role demands the individual to possess technical skills required to perform the job in an effective manner. The individual should be self-motivated, possess creative problem-solving skills and have the ability to handle multiple projects at the same time. The candidate should have passion for data & analytics.

• Participating and collaborating with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.
• Planning the execution of the project in an effective and efficient manner.
• Approaching the problem, taking into account all possibilities and options.
• Creativity and out of the box thinking is required.
• Proactively anticipating problems and appropriately communicating to the team and management in a timely manner.
• Being flexible and being able to support all functions of product life cycle when required.
• Ability to work in a fast-paced environment.
• Ability to deliver from coarse grained requirements.
• Be a Mentor for the junior members in the organization.

• 4-7 years of experience in the IT industry, experience in Data Technology space is preferred.
• Proficiency in any programming language like Java, Python, Scala, and Spark
• Working experience in any MPP systems, should have strong SQL programming skills.
• Knowledge of data warehousing concepts
• Working knowledge on Big Data, Streaming Integrations
• Excellent written and oral communication skills
• Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions.
• Expertise in database programming and performance tuning techniques
• Familiar with data movement techniques and best practices to handle large volumes of data.
• Experience with data warehousing architecture and data modeling best practices
• Experience with File Systems, server architectures, and distributed systems
• Strong communication skills and willingness to take initiative to contribute beyond basic responsibilities.
• Working experience in an Agile methodology is highly preferred.
• Knowledge of Hadoop, Spark, HBase and Hive is highly preferred.
• Knowledge and Working experience on Cloud platforms is highly preferred.

Desired Skills:

• Knowledge in MPP Databases/ Distributed systems
• Knowledge on Big data Environments and Cloud integration is a plus.
• Exposure to Data Quality and Profiling tools is a plus.
• Exposure to BI tools desired, but not required (Tableau, Micro strategy, Business Objects).