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.