Netezza Data Engineer

Position: Netezza Data Engineer

Location: Cincinnati, OH (Hybrid 3 days onsite and candidate can work from Cincinnati, OH office too)

Type of Hire: Contract to Hire

Along with the below skills mentioned the key requirements are:

Excellent communication skills.

Must have worked with cross functional teams. Technically strong and lead a team of engineers.

Must provide recommendations with techniques.

• Cloud environments: Azure

Key Responsibilities:

• Lead and participate in the design and implementation of large-scale and/or architecturally significant applications.
• Migrate and modernize customer data platforms from Netezza to Databricks.
• Develop robust data pipelines and workflows for the new Customer Platform Analytics system.
• Champion best practices and continuously work to improve software delivery processes.
• Collaborate with application, business, and infrastructure teams to align on requirements and delivery.
• Prepare estimates and work plans for design, development, implementation, and rollout phases.
• Communicate effectively with stakeholders to ensure timely and quality delivery.
• Support and maintain applications using Databricks and Netezza technologies.
• Provide technical mentorship and, when required, direct the day-to-day work activities of team members.
• Participate in onsite collaboration with development teams as needed.

Required Qualifications:

• Hands-on experience with Databricks and Netezza.
• Proven experience setting up new customer data platforms and migration projects.
• Ability to independently manage and execute complex technical tasks.
• Strong understanding of data engineering principles and software development lifecycle.
• Demonstrated ability to work collaboratively in a cross-functional environment.
• Effective communication, problem-solving, and stakeholder management skills.
• Ability to deliver results in fast-paced, evolving environments.
• Strong commitment to customer-centric development and continuous improvement.

Preferred Qualifications:

• Experience in customer data analytics or customer platform engineering.
• Background in retail, customer experience, or marketing analytics environments