Data Engineer 2

What you need to know about the role:

We are seeking a talented Data Engineer 2 to join our Credit Engineering Team within the Data Org of PayPal. The candidate will be responsible for analysis, design, coding, testing and ETL Engineering. The candidate may have to interact with global cross-functional teams to address complex business requirements

Meet our team:
Who We Are:

We are part of the Credit Organization, specializing in managing credit data and the Credit Data Warehouse (DW). Our role is crucial in generating accurate reports and insights from heterogeneous data sources.

What We Do:

Data Management: Handling and consolidating diverse data sources.
Report Generation: Delivering essential reports for business decisions.
Business Impact: Our data is critical for strategic and operational success.

Our Approach:

Accuracy and Efficiency: Ensuring reliable data and timely reports.
Collaboration: Working closely with stakeholders to meet business needs.

Why It Matters:

Our work supports informed decision-making, compliance, and performance enhancement across the organization.

• Accuracy: Ensuring data accuracy and integrity is at the core of our operations. We understand the importance of precise data in making informed business decisions.
• Efficiency: We strive to deliver reports and insights promptly, supporting the dynamic needs of our downstream users.
• Collaboration: Our team works closely with various departments and stakeholders to ensure that the data solutions we provide are aligned with business objectives.
• Pro-actively working and make sure reusable code is built to maintain and manage, timely deliverables and deeper knowledge in the domain.

• 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, considering 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 an agile and fast-paced environment.
• Ability to deliver from coarse grained requirements.
• Be a Mentor for the junior members in the organization.

• 3 to 5 years of experience in the IT industry, experience in Data Technology space is preferred.
• Proficiency on Google Cloud Platform, Big Data, Streaming Integrations
• Knowledge in any programming language like Python, Scala, and Spark
• Working experience in any MPP systems, should have strong SQL programming skills.
• Knowledge of data warehousing concepts
• 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 modelling 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 and Working experience on Cloud platforms is highly preferred

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