Software Engineer Jobs at PayPal | Hybrid Work - Stifons

Stifons Limited; Chennai District; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

PayPal is hiring a Software Engineer – Data Engineering (Hybrid) to design, build, and maintain data pipelines using Python and SQL. You will set up workflow scheduling with Airflow/Cloud Composer and build scalable data warehousing with BigQuery.

You will process data from internal systems and partners, ensuring data quality and reliable pipelines in a regulated financial setting. The role requires 1 year of experience plus a bachelor’s degree, or an equivalent mix, with 2–5 years in data

Qualifications

• 1 year of relevant experience and a Bachelor's degree, OR any equal mix of education and experience.
• 2–5 years of experience in software engineering, ideally in data engineering or data platforms.
• Cloud experience (GCP, AWS, or Azure) with BigQuery or similar data warehousing.
• Familiarity with workflow scheduling tools such as Apache Airflow.
• Experience with version control (Git), testing, and CI/CD.

Responsibilities

• Design, build, and maintain data pipelines using Python and SQL.
• Set up and monitor workflow scheduling (Airflow/Cloud Composer).
• Work with BigQuery to build scalable data warehousing for analytics.
• Ensure data quality through checks, monitoring, and alerts.

Skills

Python

SQL

BigQuery

Airflow

Cloud platforms

Data pipelines

Git

CI/CD

Data quality

Education

Bachelor's degree

Tools

Airflow/Cloud Composer

Great Expectations

Soda Core

Job description

Software Engineer – Data Engineering (Hybrid)

Company: PayPal

Essential Responsibilities

• Carries out tasks within the Software Development Lifecycle (SDLC), with guidance and support from more experienced staff
• Follows well‑established internal rules and standard steps
• Understands internal standards and processes and uses them to make technical decisions
• Works with peers, manager, and project lead to understand tasks and review solutions
• May take part in code and design reviews

Your Day to Day

• Design, build, and maintain fully working data pipelines using Python and SQL
• Build and support workflow scheduling (e.g., Apache Airflow / Cloud Composer) for scheduled and event‑based data processing
• Work with BigQuery (or similar) to build scalable data warehousing solutions that support analytics and reporting
• Bring in and process data from internal systems and outside partners/vendors, including data from new regions
• Set up data quality checks, monitoring, and alerts to keep pipelines reliable and data accurate
• Fix production issues, improve query and pipeline performance, and make sure service‑level agreements (SLAs) are met
• Work with different teams (Product, Risk, Credit Modeling, Compliance, Platform) to turn business/data needs into technical solutions
• Follow software engineering best practices — version control, code review, automated testing, and CI/CD
• Use AI‑assisted development tools responsibly to boost productivity while keeping code quality and security standards
• Support proper data handling practices suited to a regulated financial services setting

Minimum Qualifications

• 1 year of relevant experience and a Bachelor's degree, OR any equal mix of education and experience

Preferred Qualifications

• 2–5 years of experience in software engineering, ideally in data engineering or data platforms
• Strong skill in Python and SQL, with hands‑on experience building and maintaining fully working data pipelines
• Experience working in a cloud‑based environment (GCP, AWS, or Azure) with some exposure to modern data platforms
• Familiarity with workflow scheduling tools such as Apache Airflow
• Experience with BigQuery or similar data warehousing technologies
• Good understanding of software engineering best practices, including version control (Git), code reviews, testing, and CI/CD
• Experience working with organized and unorganized data at scale, supporting analytics and reporting needs
• Ability to fix issues, improve performance, and keep data pipelines reliable
• Strong problem‑solving skills with the ability to balance quality and delivery deadlines
• Good communication skills, able to work well with different teams
• Some exposure to AI‑assisted development tools to boost productivity while keeping code quality and security standards
• Experience in financial services or other regulated industries
• Some exposure to data quality frameworks (e.g., Great Expectations, Soda Core) or custom data‑quality tools
• Experience with credit, risk, or financial reporting data areas
• Familiarity with moving old scheduling tools (e.g., UC4/Control‑M) to Airflow/Cloud Composer

Commitment to Diversity and Inclusion

PayPal offers equal employment opportunity to all people regardless of age, colour, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, public assistance status, veteran status, or any other characteristic protected by law. PayPal will also provide reasonable support for qualified individuals with disabilities. If you can’t submit an application due to incompatible assistive technology or a disability, please contact us.