Hiring For Manager - Data Engineer For Mumbai/Pune location

General Mills; Mumbai; Ibrido; INR 4.000.000 - 8.000.000; Tempo pieno

Descrizione del lavoro

General Mills in Mumbai seeks a Senior Data Engineering Manager to lead a team and shape the data engineering strategy. You will mentor managers, drive data architecture decisions, and collaborate with business and technology partners to deliver scalable data initiatives.

Ideal candidates bring 15+ years in data engineering, 5+ years in leadership, strong GCP experience, and robust Agile delivery skills across geographies. Engagement and data quality are focal goals.

Competenze

• Bachelor's degree or equivalent practical experience in a relevant field.
• 15+ years of data engineering experience, with 5+ years leading mid-to-large teams.
• Strong stakeholder management across functions, geographies, and time zones.

Mansioni

• Directly manage, coach, mentor, and performance manage a team of Data Engineering Managers.
• Build and maintain relationships with key business and technology stakeholders.
• Translate data needs into actionable data engineering initiatives.
• Champion a culture of Learning, Belonging, and Accountability within the team.
• Oversee resource allocation and capacity planning for the Data Engineering team.
• Manage vendor relationships and contracts as needed.
• Identify and lead initiatives to improve operating model efficiency and automation.
• Drive adoption of best practices, standards, and data quality improvements.
• Participate in short- and long-term strategic initiatives for Data Engineering.
• Provide technical guidance and mentorship, staying updated on trends and architecture standards.

Conoscenze

Team leadership

Stakeholder management

Data engineering

Cloud data platforms

Agile delivery

Data architecture

Data quality

Mentorship

Formazione

Bachelor's degree or equivalent

Strumenti

Google Cloud Platform (GCP)

Descrizione del lavoro

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.