Senior Data Engineer

Worldpay • Cincinnati, OH

9d

About The Position

Are you ready to write your next chapter? Make your mark at one of the biggest names in payments. We’re looking for a Senior Data Engineer to join our technology team and help us unleash the potential of every business. What you’ll own as the Senior Data Engineer We are seeking a talented and motivated Data Engineer 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.

Requirements

• 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).

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees