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Project Manager

2 months ago

Bangalore, Karnataka, India Addwiser Full time

As part of the team, you will be involved in the implementation of the ongoing and new enterprise Data Engineering initiatives.

Role Description :


The Data Engineering Project Manager is responsible for overseeing the planning, execution, and completion of automation & data engineering projects within the organization. This role involves coordinating cross-functional teams, managing project timelines and budgets, and ensuring the successful delivery of automation solutions that enhance efficiency and productivity. The candidate should have a strong background in project management, a deep understanding of data pipeline/automation technologies, Data Engineering delivery lifecycle and excellent leadership skills.

What you will do :

- Define project scope, objectives, and deliverables in collaboration with senior management and stakeholders.

- Develop and maintain detailed project plans, including sprint planning, backlog prioritization, and resource allocation

- Establish project governance structures and ensure adherence to project management best practices.

- Facilitate agile ceremonies such as daily stand-ups, sprint planning, sprint reviews, and retrospectives.

- Collaborate with product owners and stakeholders to ensure that the product backlog is well-defined and prioritized.

- Conduct regular sprint grooming sessions to refine and prioritize backlog items, ensuring clear and actionable user stories.

- Work as part of cross-functional teams, including data engineers, developers, engineers, QA testers, and business analysts, to deliver Enterprise Data projects.

- Assign tasks, set priorities, and monitor team performance to ensure project goals are met.

- Foster a collaborative and motivated team environment, providing guidance and support as needed.

- Serve as the primary point of contact for project stakeholders, including executives, business units, and external partners.

- Provide regular project updates, including status reports, risk assessments, and progress metrics.

- Facilitate meetings and presentations to communicate project milestones and outcomes.

- Identify potential project risks and develop mitigation strategies to address them.

- Monitor project risks throughout the project lifecycle and implement contingency plans as necessary.

- Conduct post-project reviews to identify lessons learned and improve future project processes.

- Develop and manage project budgets, ensuring that projects are delivered within financial constraints.

- Track project cost and provide financial reports to stakeholders.

- Ensure that data & automation solutions meet quality standards and align with organizational requirements.

- Implement testing and validation procedures to verify the functionality and performance of automation systems.

- Ensure compliance with industry regulations, security policies, and best practices.

- Stay updated with the latest data & automation technologies, tools, and industry trends.

- Identify opportunities for process improvements and recommend automation solutions to enhance efficiency.

- Drive initiatives to optimize project management methodologies and tools.

What you will bring :

- Bachelor's degree in Computer Science, Engineering, or a related field

- Proven experience of at least 5+ years of experience in project management, with a focus on data engineering/automation or technology projects.

- Proven track record of managing complex projects from initiation to completion.

- Experience working with data platforms, automation tools and technologies (e.g., Snowflake, Fivetran, dbt, Python, Azure functions, AI, ML, scripting languages).

- Proficiency in project management software (e.g., Microsoft Project, Jira).

- Proficiency in driving best practices across data platforms preferred

- Understanding of Data Engineering and Agile methodologies.

- Excellent leadership and team management skills.

- Strong problem-solving and analytical abilities.

- Familiarity with cloud platforms and services (e.g., AWS, Azure).

- Understanding of IT infrastructure and cybersecurity best practices.

- Effective communication and interpersonal skills.

- Ability to manage multiple projects and priorities in a fast-paced environment.

- Certified Scrum Master (CSM) certification.

- Experience with process improvement methodologies (e.g., Lean, Six Sigma).

(ref:hirist.tech)