PayPal Data Engineer 

India, Tamil Nadu, Chennai 

437481468

This job will design, develop, and maintain data pipelines and architectures to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams.

Essential Responsibilities:

• Design and develop data pipelines for efficient data collection and processing.
• Build and maintain scalable data storage solutions.
• Ensure data quality and consistency through validation and cleansing processes.
• Implement data transformation techniques to prepare data for analysis.
• Collaborate with cross-functional teams to understand data requirements and provide solutions.
• Optimize data engineering processes for performance and reliability.

Minimum Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.

Your day-to-day

• Work with large datasets to support the development and maintenance of data pipelines that help monitor key business metrics and generate valuable insights for decision-making.

• Assist in implementing data quality checks and monitoring solutions to ensure data integrity, consistency, and reliability across key pipelines.

• Collaborate with senior engineers in maintaining and enhancing the data infrastructure, ensuring automation and efficiency in data processing workflows.

• Contribute to projects focused on risk management and process optimization by applying data-driven solutions to solve specific business problems.

• Carry out assignments with moderate complexity under guidance, while continuously looking for ways to improve data processes and outputs.

• Develop a working knowledge of the business domain to support data initiatives within a broader strategic context.

• Support communication with cross-functional teams to clarify requirements, share updates, and align on project goals.

• Collaborate with analysts and other stakeholders to help uncover insights that support operational and business decisions.

What You Need to Bring

• 2–5 years of experience in data engineering, working with large-scale data processing systems.

• Strong experience in BigQuery, SQL, Python, and knowledg of Spark. Familiarity with Google Cloud Platform services such as BigQuery, Cloud Storage, Dataflow, or Dataproc is a plus.

• Good understanding of data modeling concepts and ability to document data workflows effectively.

• Experience participating in Business Intelligence and data pipeline projects, including gathering requirements and analyzing structured data sets.

• Comfort with statistical thinking, attention to detail, and a problem-solving mindset.

• Exposure to domains like payments, e-commerce, or financial services is beneficial but not required.

• Self-driven and enthusiastic about learning and growing within a fast-paced environment. Able to work well both independently and as part of a team.

• Strong communication skills, with the ability to collaborate across teams and present findings clearly.

• Organized and thoughtful, with a focus on execution and follow-through on assigned tasks

Our Benefits:

Any general requests for consideration of your skills, please