Technical Project Manager

Job summary
The ideal candidate is a detail-oriented team player who will handle all the resources and coordination from a technical standpoint.Roles: Technical Project Coordinator (TPC) / Technical Project Manager (TPM)Area of Work: Big Data Engineering and Cloud
Job seniority: mid-to-senior level
Responsibilities
• To take end-to-end ownership of multiple projects/project tracks.• To create, review, and maintain project management documentation and other related documentation including Project Status Tracker, Scope of Work document, Change Request Management (CR) document, Release Management Plan, Risk Mitigation Plan, Production Cutover Plan, Production Support Plan, etc...• To lead i.e., participate and contribute to all the phases of a big data engineering project, right from Requirements Gathering to Production Support.• To lead internal team meetings on requirements gathering, solution architecture, effort estimation, timelines preparation, manpower planning, and resource (software/hardware/licensing) planning.• To lead external team meetings with partner teams and customer teams.• To manage RIDA (Risks, Impediments, Dependencies, Assumptions) for projects by developing effective mitigation plans.• To act as a Scrum Master, if required, and conduct SCRUM ceremonies like Sprint Planning, Daily Standup, and Sprint Retrospective.• To conduct Scrum of Scrum meetings, in case of managing multiple projects/project tracks.• To clearly define the roles and responsibilities of each team member.• To train and mentor the team on their job responsibilities and SCRUM principles.
Requirements
• Minimum 07 years of experience (hands-on as well as leadership) in big data engineering projects across multiple job functions like Requirements Analysis, Solutioning, Development and Testing, DevOps, Production Support, Presales, Release Management, and Project Management.• Experience developing or managing cloud solutions using Azure or other cloud providers.• Demonstrable knowledge of Big Data Engineering technologies including but not limited to Hadoop, Hive, Spark, NoSQL DBs, SQL, Data Warehousing, ETL/ELT tools, BI Visualization tools, etc.• Demonstrable knowledge of Cloud Services and Data Governance.• Demonstrable knowledge of Project Management Tools and Practices.• Strong communication skills.• Strong analytical and problem-solving skills.• Strong systems-level critical thinking skills.• Strong collaboration and influencing skills.• Willingness to travel.
Key Skills Needed
• PySpark• Azure Data Factory• Azure Data Lake Storage• Synapse Dedicated SQL Pool• Azure Databricks• Azure PowerBI• Machine Learning Models• Cloud INS (Infrastructure, Network, and Security) services• PMP Certification / PgMP Certification / SAFe Certifications.