Cynet systems Inc
Technical Project Manager (Hadoop Expertise)
Cynet systems Inc, Santa Clara, California, us, 95053
Job Description
Pay Range: $60hr - $65hr Responsibilities
Project Management:
Lead end-to-end project lifecycle: planning, execution, monitoring, and closure. Develop and maintain project schedules, scope, risks, and budget. Coordinate cross-functional teams (development, QA, DevOps, business, etc.). Manage project resources and ensure timely delivery of project milestones. Business Analysis:
Collaborate with business stakeholders to elicit, analyze, and document project requirements. Translate business needs into functional and technical specifications. Facilitate requirement review sessions and obtain sign-offs from all relevant parties. Maintain traceability of requirements throughout the project lifecycle. Technical Oversight:
Provide guidance and oversight on Hadoop-based solutions and architecture. Work closely with data engineers and architects to ensure technical feasibility of solutions. Identify opportunities to leverage Hadoop ecosystem components (e.g., HDFS, Hive, Pig, Spark, HBase) for business needs. Communication And Stakeholder Management:
Act as the primary point of contact between business and technical teams. Provide regular updates to stakeholders on project progress, risks, and mitigation plans. Prepare and present project status reports, roadmaps, and post-implementation reviews. Required Skills and Experience
7+ years of experience in IT Project Management. Proven experience in interacting with business users to gather and document requirements. Strong technical background in Big Data with hands-on understanding of Hadoop ecosystem. Familiarity with data processing, ETL pipelines, and large-scale distributed data systems. Experience working in Agile/Scrum environments. Excellent communication, interpersonal, and stakeholder management skills. Proficiency in project management tools such as JIRA, Confluence, MS Project, or equivalent. Preferred Qualifications
PMP, PMI-ACP, CSM, or equivalent certification. Prior experience as a Data Engineer or Hadoop Developer is a strong plus. Knowledge of cloud platforms (Azure HDInsight and GCP Dataproc). Understanding of data governance, data quality, and compliance standards. Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
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Pay Range: $60hr - $65hr Responsibilities
Project Management:
Lead end-to-end project lifecycle: planning, execution, monitoring, and closure. Develop and maintain project schedules, scope, risks, and budget. Coordinate cross-functional teams (development, QA, DevOps, business, etc.). Manage project resources and ensure timely delivery of project milestones. Business Analysis:
Collaborate with business stakeholders to elicit, analyze, and document project requirements. Translate business needs into functional and technical specifications. Facilitate requirement review sessions and obtain sign-offs from all relevant parties. Maintain traceability of requirements throughout the project lifecycle. Technical Oversight:
Provide guidance and oversight on Hadoop-based solutions and architecture. Work closely with data engineers and architects to ensure technical feasibility of solutions. Identify opportunities to leverage Hadoop ecosystem components (e.g., HDFS, Hive, Pig, Spark, HBase) for business needs. Communication And Stakeholder Management:
Act as the primary point of contact between business and technical teams. Provide regular updates to stakeholders on project progress, risks, and mitigation plans. Prepare and present project status reports, roadmaps, and post-implementation reviews. Required Skills and Experience
7+ years of experience in IT Project Management. Proven experience in interacting with business users to gather and document requirements. Strong technical background in Big Data with hands-on understanding of Hadoop ecosystem. Familiarity with data processing, ETL pipelines, and large-scale distributed data systems. Experience working in Agile/Scrum environments. Excellent communication, interpersonal, and stakeholder management skills. Proficiency in project management tools such as JIRA, Confluence, MS Project, or equivalent. Preferred Qualifications
PMP, PMI-ACP, CSM, or equivalent certification. Prior experience as a Data Engineer or Hadoop Developer is a strong plus. Knowledge of cloud platforms (Azure HDInsight and GCP Dataproc). Understanding of data governance, data quality, and compliance standards. Education
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
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