QA Data Engineer

We are seeking a highly skilled and experienced QA Automation Data Engineer to be an integral part of our dynamic Data Engineer Team. As a QA Automation Data Engineer, you will play a crucial role in ensuring the accuracy, reliability, and efficiency of our data processing, ingestion, and architecture methodologies. Your primary focus will be to develop and execute robust testing strategies to validate data pipelines, ETL workflows, and data transformations in our data platform. Working closely with the Data Engineer Team, you will deliver high-quality and reliable data solutions to support our business needs. Additionally, as the quality owner, you will take charge of production issues, conduct postmortems, and drive continuous improvement initiatives to enhance data quality and system performance.

Why join Tipalti?

Tipalti is one of the world’s fastest-growing fintech companies. We free finance professionals to lead by modernizing the entire payables operation. We are a well-funded, late-stage start-up backed by high-profile investors. Our 2021 Series F funding round raised $270 million, valuing us at over $8.3 billion. With total funding of just over $550 million, and with more than 3000 global customers, Tipalti is one of the most valuable private fintech companies in the world.

At Tipalti, we pride ourselves on our collaborative culture, the quality of our product and the capabilities of our people. Tipaltians are passionate about the work they do, and keen to get the job done. Tipalti offers competitive benefits, a flexible workplace, career coaching, and an environment where diverse individuals can thrive and make an impact. Our culture ensures everyone checks their egos at the door and stands ready to reach for success together.

In This Role, You Will Be Responsible For

• Data Testing and Validation: Develop comprehensive test plans and execute them to ensure data integrity, accuracy, and consistency throughout the data processing lifecycle. Collaborate with the Data Engineer Team to identify data quality issues and drive their resolution.
• SQL Proficiency: Utilize your strong SQL skills and in-depth understanding of business logic to create complex queries for data validation, verification, and error detection.
• Python Automation: Leverage your expertise in Python automation to build and maintain testing frameworks, automation scripts, and data validation tools. Automate repetitive tasks to streamline the testing process and improve team productivity.
• End-to-End Testing: Perform end-to-end testing of data pipelines, data transformations, and ETL workflows to validate data flow and identify potential bottlenecks or issues.
• Documentation: Create and maintain detailed documentation for test cases, test scenarios, and test results. Document data anomalies, data discrepancies, and potential improvements in data processing.
• Collaborate with Data Engineers: Work seamlessly with the Data Engineer Team to understand data processing workflows and architecture. Participate in code reviews and provide feedback to improve code quality and maintainability.
• Continuous Improvement: Proactively identify opportunities for process improvement, testing automation, and data quality enhancements. Implement best practices and industry standards to ensure data quality and reliability.
  
  

About You

• Minimum 3 years of experience in Quality Assurance (QA).
• Strong SQL skills and a deep understanding of data structures, data models, and business logic, with a minimum of 3 years of hands-on experience writing SQL queries.
• Proficient in Python programming, with at least 2 years of experience in developing automation scripts for data testing and validation.
• Knowledge of data processing methodologies, data ingestion, and data architecture.
• Analytical mindset and a keen eye for detail to identify data quality issues and troubleshoot data-related problems effectively.
• Excellent communication skills, both written and verbal, with the ability to collaborate with cross-functional teams.
• Proven ability to work in a fast-paced, agile environment and manage multiple priorities effectively.
  
  

Advantages

• Bachelor's degree in Computer Science / Industrial Engineering / Information Systems or a related field is preferred.
• Familiarity with the technology stack used by the Data Engineer Team, including dbt, Snowflake (data warehouse), Apache Airflow (as an orchestrator), nifi, and Kafka.
  
  

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Interested in learning more about us?

Tipalti is the only company handling both global partner payments and accounts payable workflows for high-velocity companies across the entire financial operations cycle: onboarding and managing global suppliers, instituting procurement controls, streamlining invoice processing and approvals, executing payments around the world, and reconciling payables data across a multi-subsidiary finance organization. Tipalti enables companies to scale quickly by making payables strategic with operational, compliance, and financial controls. Through Tipalti, our clients can efficiently and securely pay thousands of partners and suppliers in 196 countries within minutes.

Tipalti is fueled by a commitment to our customers and a desire to build lasting connections. Our client portfolio includes high-velocity businesses such as Amazon Twitch, GoDaddy, Roku, WordPress.com, and ZipRecruiter. We work hard for our 98% customer retention rate which is built on trust, reliability and innovation. Tipalti means we handled it" - a mission to which we are constantly committed.

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