Highlights

Roles & Responsibilities: Design, develop, and optimize scalable big data solutions using Hadoop and related technologies to support business analytics and data processing requirements. Must Have Technical/Functional Skills: Part of a full stack agile team supporting Pega, Java, ETL, Data Engineers, VB (.NET), and Mainframe development.

Description

Skill: Java/Hadoop/Python Developer

Must Have Technical/Functional Skills:

Part of a full stack agile team supporting Pega, Java, ETL, Data Engineers, VB (.NET), and Mainframe development.
Actively participate in all Agile ceremonies, including daily stand-ups, sprint planning, and retrospectives.

Flex/Nice-to-Have Skills:

Experience with Medallion Architecture a plus.
Experience in Containerization (Kubernetes / Docker) a plus.
Experience with Marketing applications (Pega, Salesforce, Adobe, Zafin, Naehas) is a plus.
Experience with Visual Basic (.NET) a plus.
Experience with SaaS based solutions a plus.
Financial Services industry knowledge.

Roles & Responsibilities:

Design, develop, and optimize scalable big data solutions using Hadoop and related technologies to support business analytics and data processing requirements.
Write and maintain complex SQL queries for data extraction, transformation, and reporting across multiple large datasets.
Develop, test, and deploy data pipelines utilizing Python, PySpark, and Informatica to automate data ingestion, transformation, and integration processes.
Leverage GitHub for version control and collaborative development, ensuring code quality and adherence to best practices.
Implement and manage data streaming and messaging solutions using Kafka for real-time data processing and integration.
Troubleshoot and resolve issues in big data environments, optimizing performance and reliability of data platforms.
Collaborate with cross-functional teams to gather requirements, design data models, and support advanced analytics initiatives.
Ensure data security, governance, and compliance standards are met within all data engineering processes.
Familiarity with tools like Jira, Confluence, Alation.

About Company

Q1 consists of experienced and recognized experts providing the capability to respond to market demand in order to provide professional services for our clients including Enterprise software implementations, application integration and technical / functional support.

Q1 has steadily grown into a Quality IT services and solutions organization with the average experience of our team being over 10 years. We have continuously met or exceeded client expectations by delivering professional services and project implementations on time and under budget to help clients truly recognize return on investment.

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