Manager Engineering Data Engineering

Skills: Engineering Manager with Bigdata/Fast Data Power BI Python SQL

Experience: 12 to 16 Yrs

Lead and Mentor: Manage and mentor a team of Data Engineers Data Analysts and Business Analysts. Foster a collaborative and innovative team culture ensuring accountability for performance and results. Set performance objectives conduct performance reviews and recommend pay actions.

Project Management: Oversee the planning execution and delivery of data projects. Ensure projects are completed on time within scope and within budget.

Vision and Strategy: Define a vision for the team in line with departmental strategy and operational challenges. Translate this vision into a concrete action plan working with a high level of autonomy with some guidance from the Senior Manager.

Agile Methodologies: Implement and promote Agile methodologies within the team. Facilitate Agile ceremonies such as sprint planning daily stand-ups and retrospectives.

Collaboration: Work closely with Product Managers to understand requirements prioritize tasks and align development efforts with business goals.

Technical Direction: Provide technical direction and support to the team. Ensure best practices in data engineering testing and deployment are followed.

Quality Assurance: Ensure the delivery of high-quality data solutions by implementing robust testing and code review processes.

Continuous Improvement: Encourage continuous learning and improvement within the team. Stay updated with the latest industry trends and technologies.

Technical Excellence:

Production Support: Timely manage the investigation and resolution of production support issues and customer inquiries.

Collaboration: Collaborate with other development architecture solutions and QA teams to ensure that data systems are designed for testability stability scalability and performance.

Technical Proficiency: Proficiency in Power BI Data Pipelines Azure and other relevant technologies. Experience with cloud platforms and exposure to other tech stacks like Python SQL etc.

Agile Expertise: Strong understanding and experience with Agile methodologies (e.g. Scrum Kanban).

Leadership: Proven ability to lead and inspire a team. Excellent problem-solving and decision-making skills.

Cross-functional Collaboration: Experience working closely with Product Managers and other cross-functional teams.

Communication:

Team Communication: Ensure timely and appropriate communication to team members regarding company/organization information.

Stakeholder Communication: Maintain clear and effective communication with all stakeholders including Product Managers designers and other development teams.