PayPal Data Engineer 

India, Tamil Nadu, Chennai 

418221094

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.

Expected Qualifications:

• 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Data Pipeline Development

• Design, build, and maintain efficient ETL/ELT pipelines to process large volumes of data
• Develop and optimize data workflows using modern data engineering tools and frameworks
• Ensure data quality, reliability, and performance across all data processing systems
• Monitor and troubleshoot data pipeline issues, implementing proactive solutions

Data Infrastructure & Modeling

• Create and maintain data models that support analytics and reporting requirements
• Work with BigQuery and other cloud data platforms to optimize data storage and retrieval
• Implement data governance best practices and ensure compliance with data standards
• Collaborate on data architecture decisions and technical design reviews

Collaboration & Continuous Learning

• Partner with data scientists, analysts, and business stakeholders to understand data requirements
• Participate in agile development processes and contribute to team planning and retrospectives
• Share knowledge and mentor junior team members
• Stay current with emerging data technologies and industry best practices

Technical Skills

• SQL Expertise: Advanced proficiency in SQL for complex data manipulation, optimization, and analysis
• BigQuery: Hands-on experience with Google BigQuery, including query optimization and cost management
• Programming: Proficiency in Python or other scripting languages for data processing and automation
• ETL Knowledge: Solid understanding of ETL concepts, tools, and best practices
• Data Modeling: Experience with dimensional modeling, data warehousing concepts, and schema design

Professional Skills

• 2-4 years of experience with 1+ years of relevant experience in data engineering or related field
• Strong problem-solving abilities and attention to detail
• Excellent communication skills and ability to explain technical concepts to non-technical stakeholders
• Experience working in collaborative, cross-functional team environments

Preferred Qualifications

• Experience with cloud platforms (Google Cloud Platform, AWS, or Azure)
• Knowledge of data orchestration tools (Apache Airflow, Prefect, or similar)
• Familiarity with streaming data technologies (Apache Kafka, Pub/Sub)
• Experience with version control systems (Git) and CI/CD practices
• Understanding of data security and privacy principles
• Bachelor's degree in Computer Science, Engineering, or related field

Team Spirit & Collaboration

• Genuine enthusiasm for working as part of a team
• Willingness to share knowledge and learn from others
• Positive attitude and constructive approach to problem-solving
• Ability to give and receive feedback effectively

Growth Mindset

• Eagerness to learn new technologies and methodologies
• Adaptability to changing business requirements and technical landscapes
• Initiative to propose improvements and innovative solutions
• Commitment to personal and professional development

What We Offer

• Opportunity to work with cutting-edge data technologies
• Collaborative and supportive team environment
• Professional development and learning opportunities
• Competitive compensation and benefits package
• Flexible work arrangements

Our Benefits:

Any general requests for consideration of your skills, please