Manager I, Data Engineering

Overview

When you think of InComm Payments, think of Innovative Payments Technology. We were founded over 30 years ago and continue to be a pioneer in the payment (FinTech) industry. Since our inception, we have grown to be a team of over 3,000 employees in 35 countries around the world. We own over 400 global technical patents and a network that includes over 525,000 points of retail distribution that points to our industry expertise.

InComm Payments works with the most recognized and valued brands in the world, and we are partnered with most of the world's leading merchants. InComm Payments is highly focused on our people and their growth, and we work hard to make a career at InComm Payments meaningful and rewarding. We value innovation, quality, passion, integrity, and responsibility in all that we do, and we are looking for great people to join our team as we move forward towards a very bright future.

You can learn more about InComm Payments by visiting our website or connecting with us on LinkedIn, YouTube, Twitter, Facebook, or Instagram.

Responsibilities

• Design and develop a scalable Data Lake and data processing platform from the ground up on Azure.
• Lead decision-making and provide guidance on code deployment, testing strategies, and production environment workflows.
• Define the roadmap for Data Lake development, ensuring efficient data storage and processing.
• Oversee Azure data storage and Azure Synapse, Event hubs Implementation.
• Work with Python and PySpark to process large-scale data efficiently.
• Implement and manage Lambda, Glue, Kafka, and Firehose for seamless data integration and processing.
• Collaborate with stakeholders to align technical strategies with business objectives, while maintaining a hands-on engineering focus.
• Drive innovation and cost optimization in data architecture and cloud infrastructure.
• Provide expertise in data warehousing and transitioning into modern Azure based services & practices.
• Model & transform data : Create well-structured, documented data models (star / snowflake schemas, data vault, etc.) to support self-service analytics and advanced use cases.
• Administer databases : Tune, secure, and monitor Microsoft SQL Server instancesincluding authoring complex T-SQL queries, functions, and stored proceduresto ensure high performance and data integrity.
• Leverage cloud services : Implement Azure Data Factory, Synapse Analytics, and related services for scalable data orchestration, storage, and processing.

Qualifications

Minimum Qualifications :

Data & Analytics Specific Qualifications :

InComm Payments provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran's status, age, disability status, genetics or any other category protected by federal, state, or local law.

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