Job Description1. Basic Technical Knowledge (Must Understand, Not Code) Nn 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. Nn N2. Business & System Knowledge (Valuable to have) Nn 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. Nn N3. Required Work Experience (Must) Nn 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. Nn

📌 Gcp Project Manager (Alibag)
🏢 Tech Mahindra
📍 Alibag