JOB DESCRIPTION

We are Worldpay. Our technology powers the world’s economy and our teams bring innovation to life. We champion diversity to deliver the best products and solutions for our colleagues, clients and communities. If you’re ready to start learning, growing and making an impact with a career in fintech, we’d like to know: Are you Worldpay?

REQUIRED SKILLS:

• Proficiency in SQL for querying and managing relational databases.
• Experience in designing and structuring data systems (Data Architecture).
• Knowledge of Pyspark for big data processing and analytics.
• Familiarity with Snowpark for building data pipelines and processing data within Snowflake.
• Ability to automate data workflows (Data Pipelines).
• Experience in writing and optimizing stored procedures.
• Proficiency in using Databricks for big data analytics and machine learning.
• Expertise in Snowflake for data warehousing and analytics.
• Knowledge of AWS services (S3, Lambda, IAM, Boto3) for data storage, processing, and security.
• Understanding of secure methods for transferring data files (Secure File Transfer Processes).

ADDITIONAL SKILLS:

• Ability to design and document process flows.
• Experience with PGP encryption for securing data.
• Knowledge of Terraform for infrastructure as code.
• Proficiency in Tableau for data visualization and reporting.
• Experience with Power BI for creating interactive dashboards and reports.
• Familiarity with Google Cloud Platform (GCP) services.
• Understanding of data clean rooms for secure data collaboration.
• Knowledge of data sharing techniques.
• Basic understanding of machine learning algorithms.

EEOC STATEMENT

Worldpay is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here.
For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

ABOUT THE ROLE:

We are seeking talented and motivated Data Engineers to join our dynamic team. The ideal candidate will have a strong background in data engineering, with experience in various technologies and tools. This role involves designing, developing, and maintaining data pipelines, ensuring data quality and integrity, and supporting data-driven decision-making processes.

RESPONSIBILITIES:

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
• Implement data architecture and data modeling solutions.
• Ensure data security and compliance with industry standards.
• Optimize and troubleshoot data workflows and processes.
• Develop and maintain documentation for data processes and systems.