Associate Sr. Software Engineer (Python/ Snowflake)
Netspend
About the role
About The Company
Netspend Corporation is a global, vertically-integrated financial services and technology company dedicated to the delivery of innovative financial empowerment solutions to consumers worldwide. Netspend's financial products and services span prepaid, debit, cross-border payments, and loyalty solutions for consumers and enterprise partners.
Netspend provides prepaid and debit account solutions that connect customers with secure, convenient access to global payment networks so they can manage their money and make everyday purchases. With a nationwide U.S. retail network, customers can purchase and reload Netspend products at 130,000 reload points and over 100,000 distributing locations.
Since our founding in 1999 by industry pioneers, Netspend products have processed billions of dollars in transaction volume and served millions of customers worldwide. The company is headquartered in Austin, Texas with employees worldwide.
Role Overview
We are seeking a seasoned Engineer to design, build, and optimize our data ecosystem. You will be responsible for migrating and managing complex data pipelines transitioning from legacy Oracle environments to Snowflake, using Python as your primary engine for automation and transformation. The ideal candidate is a strategic thinker who ensures data integrity at scale while staying ahead of the curve with emerging AI/ML integration.
Key Responsibilities
- Legacy Integration: Maintain and optimize existing Oracle databases while leading strategic data migration efforts to the cloud
- Automation: Utilize Python to automate repetitive data tasks, build custom API integrations, and manage workflow orchestration.
- Performance Tuning: Conduct advanced SQL optimization and performance tuning within
- Snowflake and Oracle to ensure low-latency data availability. Collaboration: Work closely with Data Science and Analytics teams to provide clean, structured, and performant datasets for business intelligence
- AI Readiness: (Nice to Have) Explore and implement AI-driven data processing, such as LLM-based data cleaning or predictive pipeline monitoring
Technical Requirements (Must-Have)
- Python: Expert-level proficiency for data manipulation (Pandas, PySpark) and scripting
- Snowflake: Proven experience with Snowflake architecture (Snowpipe, Tasks, Streams, and Zero-copy cloning)
- Oracle: Strong background in Oracle RDBMS, PL/SQL development, and performance tuning
- SQL: Mastery of complex SQL queries and window functions
- Data Modeling: Deep understanding of Star/Snowflake schemas
Preferred Skills (Nice-to-Have)
- AI/ML Integration: Familiarity with integrating AI models into data workflows or using
- Snowflake’s AI features (Cortex, Document AI)
- Orchestration: Experience with Airflow, Dagster, or Prefect
- CI/CD: Knowledge of Git and automated deployment pipelines for data (dbt experience is a plus)
- Understanding of Pre-paid card domain or any Payment domain
- We are seeking candidates with 5 to 9 years of experience only.
Eligibility & process
Who can apply
Employment type: Full-time
Skills & stack
Selection process
Details are shared by the recruiter after shortlisting.
Prep kit
20 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 5
What is the difference between WHERE and HAVING clauses in SQL? Answer
Explain SQL Window functions: ROW_NUMBER(), RANK(), and DENSE_RANK(). Answer
How do you handle NULL and missing values during data cleaning in Python/Pandas? Answer
What is the difference between Star Schema and Snowflake Schema in Data Warehousing? Answer
How do you calculate MoM (Month-over-Month) growth in SQL? Answer
Behavioural & HR questions 3
Highlight Netspend's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.
Competitive Package
Noida, India
Employment type: Full-time
