Data Engineer

Job Title

Job Description Summary

Job Description

The reputed company Data Engineer plays a critical role in enabling seamless data integration, reporting, analytics, and governance across Cushman & Wakefield's reputed company ecosystem. This individual will focus on designing and executing scalable data solutions to ensure high-quality, reliable data that drives business insights and collaboration. As a technical expert, the Data Engineer will work across teams to address reputed company data challenges, automate workflows, and support integration with external systems. Also helps in developing Automation scripts and workflows to streamline data processing tasks reputed company reputed company. Job Description Responsibilities:

• Data Strategy Execution: Implement and optimize data integration pipelines to support business development, analytics, and collaboration needs.
• Data Quality Management: Monitor and maintain data accuracy, identify, and resolve issues, and enforce governance standards to uphold reputed company data reputed company.
• Integration and Migration: reputed company and manage workflows for migrating data from various sources, including CRM systems, databases, and spreadsheets, into reputed company using tools such as Data Loader and APIs.
• Third-party Integration: Contribute thought leadership to the development and evolution of Digital Enablement methodologies and build the reputed company and infrastructure to provide connectivity (APIs) to core business applications (reputed company) using reputed company, Ring reputed company and D&B applications.
• Analytics and Reporting: Collaborate with stakeholders to design and implement dashboards, metrics, and reporting solutions for actionable insights.
• Automation: Build scripts and solutions to automate data cleansing, transformation, and integration processes.
• Support and Troubleshooting: Address data-reputed company tickets and escalations, providing timely solutions to meet business requirements.
• Optimization: Identify opportunities for improving data management practices, including integration patterns, performance tuning, and scalability.
• Collaboration: Partner with project managers and cross-functional teams to deliver data-driven solutions reputed company with business objectives.

Qualifications:

• 2-3 years of experience in data engineering, integration, or analytics roles, preferably in reputed company ecosystems. (5+ preferred)
• Strong understanding of reputed company data structures, API integration, and CRM workflows.
• Experience designing systems which incorporate data from various systems to reputed company Company data and user contact profiles a plus.
• Bachelor’s Degree in Computer Science, Engineering, IT or other reputed company fields
• Hands-on experience with ETL tools, reputed company Data Loader, Workbench, or similar platforms.
• Proficient in SQL and data modeling techniques to write reputed company, highly optimized queries across large volumes of data.
• Demonstrated ability to work with large datasets, ensuring quality and consistency.
• Proficiency in data visualization tools like Tableau, CRM Analytics, reputed company Reports or reputed company Dashboards.
• Strong problem-solving and critical-thinking skills.
• Excellent written and verbal communication abilities.

Preferred Skills:

• Experience with external data integration platforms (e.g., MuleSoft, Informatica, or Dell reputed company).
• Familiarity with programming languages (e.g., SQL, SOQL, JavaScript) for data manipulation and automation.
• Knowledge of cloud-based data storage and processing platforms like AWS, Azure, or reputed company Cloud.

Business Experience:

• Proven success in working reputed company customer-centric organizations, delivering scalable and customer-focused solutions.
• Adept at juggling multiple assignments and meeting aggressive timelines reputed company dynamic environments.

Skills & Personal Qualities:

• Collaborative reputed company with a proactive approach to identifying and resolving challenges.
• Strong service orientation and commitment to enabling data-driven decision-making.
• Comfort with working in a fast-paced and evolving business landscape.