Job description

Job Responsibilities:

• Should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management.
• Analyzing and translating business needs into long-term solution data models.
• Collaborate with the development team to develop a data reporting environment across organizational data systems.
• Identify and promote best practices and patterns for data modeling to ensure consistency within the system.
• Integrate the data platform with analytical tools such as Tableau and PowerBI.
• Implement data strategies and develop physical data models.
• Update and optimize local and metadata models.
• Review team members’ codes for quality and correctness.
• Evaluate data systems for variances, discrepancies, and efficiency.
• Troubleshooting and optimizing data systems.
• Liaison with multiple stakeholders to understand the business requirements and work with team members to support the product requirement mapping to the rest of the engineering track.
• Work with other team members to support high-quality delivery and keep a balance with customer focus to meet business needs.
• Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment.
• Demonstrate ability to design & implement performance, scalable, resilient, reliable, and understandable data pipelines.
• Exhibit expertise in modern data engineering approaches and awareness of leading technology trends.
• Demonstrate strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations.
• Effectively collaborate with teams for problem-solving and resolving issues.

Job Type: Contract

Pay: $45.00 - $55.00 per hour

Schedule:

• 8 hour shift

Education:

• Bachelor's (Preferred)

Experience:

• Data modeling techniques: 8 years (Preferred)
• interface engineering: 8 years (Preferred)
• Clearwater, Quantum, and Clearwater is essential.: 1 year (Preferred)

Work Location: Remote

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