Data Platform Support Specialist

Cushman & Wakefield

3 - 6 years

7 - 11 Lacs

chennai

Posted:-1 days ago| Platform:

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Skills Required

debugging python data analysis data pipelines databricks elt data engineering root cause analysis learning and development sql data quality technical support servicenow ticketing geospatial devops agile etl jira azure

Work Mode

Work from Office

Job Type

Full Time

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.

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