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Cushman & Wakefield

Data Platform Support Specialist

Reposted 2 Days Ago
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In-Office
Chennai, Tamil Nadu
Mid level
In-Office
Chennai, Tamil Nadu
Mid level
Manage and resolve data support tickets involving ingestion processes and data quality. Troubleshoot workflows, monitor data pipeline health, and document issues.
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Job Title

Data Platform Support Specialist

Job Description Summary

Job Description

As part of the Data Engineering team, you will serve as a Tier 2 Support Specialist responsible for managing and resolving technical support tickets related to our data pipelines, ingestion processes, and data quality. You will play a critical role in ensuring the stability and reliability of our intelligent data platform, supporting business users and internal stakeholders with timely solutions. Your work will directly contribute to smooth operations, improved client service, and enabling data-driven decision-making across Cushman & Wakefield.

About the Role:

  • Serve as the Tier 2 escalation point for support tickets related to data ingestion, pipelines, and data marts.

  • Troubleshoot and resolve issues in data workflows, escalating to Data Engineers or Platform teams when necessary.

  • Monitor and track data pipeline health, ensuring stability and uptime.

  • Perform root cause analysis and document recurring issues to feed into long-term fixes.

  • Support data quality checks, reporting issues, and recommending corrective actions.

  • Collaborate with business stakeholders to understand issues and provide timely updates/resolutions.

  • Maintain support documentation, FAQs, and runbooks for common issues.

Top 3 Responsibilities

  • Manage and resolve Tier 2 data support tickets (pipelines, ingestion, data quality).

  • Monitor and troubleshoot automated data workflows.

  • Escalate complex issues with clear documentation to Tier 3 engineering teams.

About You:

  • 2–4 years of experience in data support, data analysis, or junior data engineering roles.

  • Strong knowledge of SQL and Python for troubleshooting.

  • Familiarity with Azure, Microsoft Fabric, and Databricks (experience with monitoring and debugging preferred).

  • Understanding of ETL/ELT processes and data pipeline management.

  • Strong communication skills to interact with business and technical teams.

  • Experience with ticketing systems (e.g., ServiceNow, DevOps, JIRA) and documenting incidents.

  • Ability to work in a fast-paced environment, prioritizing multiple support requests.

  • Bonus: Experience with geospatial or large-scale data sets.

Why join Cushman & Wakefield?

As one of the leading global real estate services firms transforming the way people work, shop and live working at Cushman & Wakefield means you will benefit from;

  • Being part of a growing global company;

  • Career development and a promote from within culture;

  • An organisation committed to Diversity and Inclusion

We're committed to providing work-life balance for our people in an inclusive, rewarding environment.
We achieve this by providing a flexible and agile work environment by focusing on technology and autonomy to help our people achieve their career ambitions. We focus on career progression and foster a promotion from within culture, leveraging global opportunities to ensure we retain our top talent. We encourage continuous learning and development opportunities to develop personal, professional and technical capabilities, and we reward with a comprehensive employee benefits program.

We have a vision of the future, where people simply belong.

That's why we support and celebrate inclusive causes, not just on days of recognition throughout the year, but every day. We embrace diversity across race, colour, religion, sex, national origin, sexual orientation, gender identity or persons with disabilities or protected veteran status.

We ensure DEI is part of our DNA as a global community - it means we go way beyond than just talking about it - we live it. If you want to live it too, join us.







INCO: “Cushman & Wakefield”

Top Skills

Azure
Databricks
Microsoft Fabric
Python
SQL

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