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.