Hiring For Manager - Data Engineer For Mumbai/Pune location

Role & responsibilities:

• Directly manage, coach, mentor, and performance manage a team of Data Engineering Managers, fostering a culture of learning, innovation, and collaboration.
• Build and maintain strong relationships with key business and technology stakeholders, ensuring effective communication regarding project status, risks, and opportunities.
• Collaborate with stakeholders to deeply understand their data needs and priorities, translating them into actionable data engineering initiatives.
• Champion a Data Engineering culture of Learning, Belonging, and Accountability, driving employee engagement and development initiatives.
• Oversee resource allocation and capacity planning for the Data Engineering team, working with project and solution managers to ensure appropriate staffing.
• Manage vendor relationships and contracts as needed, ensuring optimal value and alignment with Data Engineering goals.
• Identify and lead initiatives to improve the efficiency and effectiveness of the Data Engineering operating model, streamlining processes and automating tasks.
• Drive the adoption of best practices, standards, and data quality improvements across the Data Engineering team.
• Participate in the development and drive the implementation of short-term and long-term strategic initiatives for Data Engineering, ensuring alignment with business goals.
• Provide technical guidance and mentorship to the Data Engineering team, staying up-to-date on the latest trends and technologies, and contributing to the development of data architecture and standards.

Experiecne & Qualification:

• Education: Bachelors degree or equivalent practical experience in a relevant field.
• Experience : For Manager Data Engineering: 15+ years of relevant experience in Data Engineering, including 5+ years leading mid-to-large Data Engineering teams and managers.
• Strong stakeholder management skills with the ability to influence and collaborate effectively across functions, geographies, and time zones
• Deep understanding of data engineering principles, practices, and technologies, backed by strong analytical and hands-on technical capability
• Proven experience working with cloud-based data platforms and modern data engineering environments
• Experience working in Agile delivery or Product Team environments, supported by strong communication and interpersonal skills

Preferred skills & Experiecne :

• Data Engineering Expertise: Specialization in Google Cloud Platform (GCP).
• Big Data & Data Warehousing: Proficient in ETL/ELT processes and data architecture design.
• Project Management: Experienced in managing data engineering projects.