Job Description
1. Basic Technical Knowledge (Must Understand, Not Code)
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- Google Cloud: Understands how BigQuery stores data and knows the purpose of Dataflow/DataProc .n
- Data Pipelines: Knows how data moves via ETL tools.n
- Automation: Understands that PySpark or PL/SQL scripts schedule and automate data flows.n
- Reporting Tools: Knows how Power BI or Qlik dashboards deploy reports to business users.n
- Agile Software: High proficiency using Jira (backlogs/epics), Jenkins , or Bitbucket to track tasks.n

n2. Business & System Knowledge (Valuable to have)
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- Main Systems: Has managed projects extracting data from systems like SAP , Salesforce , and Dealer Management Systems (DMS) .n
- Sales Metrics: Understands terms like sales pipeline, conversion rates, and CRM data.n
- Finance Metrics: Understands revenue tracking, cost reconciliation, and financial auditing needs.n




- Customer Experience: Understands service turnaround times, CSAT, and NPS scores.n

n3. Required Work Experience (Must)
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- Data Focus: Has led at least 1 large data warehouse, Lakehouse, or analytics projects from start to finish.n
- Agile Leadership: Has 3 to 5 years of Scrum Master or PMO experience running data teams.n
- Mixed Teams: Experience managing Data Engineers, Modelers, and Dashboard Developers simultaneously.n
- Complex Migrations: Proven experience moving data from older, heavy systems (like SAP) into cloud platforms.n
- The "Translator" Role: Clear ability to translate technical developer updates into simple business language for managers.n

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📌 GCP Project Manager (Mumbai)
🏢 Tech Mahindra
📍 Mumbai