Project Manager – Data Engineering

3 weeks ago


Yelahanka, India Brillio Full time

About the Company: We are looking for a skilled Technical Project Manager to lead and deliver projects in data engineering and analytics. You will manage cross-functional teams to execute data platform, pipeline, and analytics initiatives, ensuring alignment with business goals and timely delivery. About the Role: A short paragraph summarizing the key role responsibilities. Responsibilities: - Plan, execute, and deliver technical projects on time, within scope, and within budget. - Strong understanding of data pipelines, ETL/ELT, and analytics workflows. - Collaborate with engineering, product, QA, and operations teams to define project requirements and success metrics. - Familiarity with cloud data platforms (AWS, GCP, Azure, Snowflake, Databricks). - Develop detailed project plans, schedules, resource allocations, and risk mitigation strategies. - Lead daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies. - Track project progress using tools like Jira, Confluence, and report status to stakeholders. - Proactively identify and resolve project blockers and dependencies. - Ensure all technical documentation is current and aligned with project goals. - Facilitate communication between technical and non-technical stakeholders. - Manage third-party vendors or external contractors when applicable. - Advocate for continuous improvement in processes, tools, and team efficiency. Qualifications: - Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. - 8+ years of experience in project management within a technical environment. - Strong understanding of software development methodologies (Agile, Scrum, Kanban, or Waterfall). - Proficient with project management tools (e.G., Jira, Asana, Microsoft Project). - Excellent communication, negotiation, and stakeholder management skills. - Ability to handle multiple projects simultaneously in a fast-paced environment. Required Skills: - Strong understanding of data pipelines, ETL/ELT, and analytics workflows. - Excellent communication, negotiation, and stakeholder management skills. Preferred Skills: - Familiarity with cloud data platforms (AWS, GCP, Azure, Snowflake, Databricks). - Proficient with project management tools (e.G., Jira, Asana, Microsoft Project).



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