Data Engineering Lead

2 weeks ago

Belgaum, Karnataka, India beBeeProject Full time ₹ 16,20,000 - ₹ 21,30,000

About the Opportunity: We are seeking an accomplished Technical Project Manager to oversee and execute projects in data engineering and analytics.

A key aspect of this role is managing cross-functional teams to deliver data platform, pipeline, and analytics initiatives that align with business objectives and meet project timelines.

Key Responsibilities:
  • Plan, execute, and deliver technical projects within the stipulated timeframe, budget, and scope.
  • Demonstrate a thorough 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) is desirable.
  • Develop detailed project plans, schedules, resource allocations, and risk mitigation strategies.
  • Lead daily stand-ups, sprint planning, retrospectives, and other Agile ceremonies.
  • Utilize tools like Jira, Confluence to track project progress 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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