| Position | Manager - Engineering - Data Engineering | 
| Posted | 2025 October 29 | 
| Expired | 2025 November 28 | 
| Company | ScaleneWorks | 
| Location | Bengaluru | IN | 
| Job Type | Full Time | 
Latest job information from ScaleneWorks for the position of Manager - Engineering - Data Engineering. If the Manager - Engineering - Data Engineering vacancy in Bengaluru matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at ScaleneWorks for the position of Manager - Engineering - Data Engineering below matches your qualifications.
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.
After reading and understanding the criteria and minimum qualification requirements explained in the job information Manager - Engineering - Data Engineering at the office Bengaluru above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.
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