Data Engineer Manager 2

Location: Pune, Maharashtra, India

Job Summary:

Leads a team of data engineers in designing, building, and maintaining scalable data pipelines and infrastructure. Collaborates with business stakeholders, IT partners, and analysts to implement data engineering solutions that support analytics and reporting needs. Translates strategic guidance into actionable engineering plans and ensures high-quality, timely delivery of data solutions. Promotes best practices in data architecture, governance, and performance optimization across projects.

 

Key Responsibilities:

Leads data engineering teams in developing, testing, and deploying robust data pipelines, integrations, and platforms to support enterprise analytics and reporting needs. Translates data strategy and architecture guidance into actionable engineering initiatives and project deliverables. Collaborates with data architects, analysts, and business partners to design and implement scalable, secure, and high-performance data solutions. Ensures adherence to data governance, privacy, and compliance standards in all data engineering activities. Oversees performance optimization, reliability, and maintenance of data systems and platforms. Guides team members in adopting best practices in data modeling, ETL development, and cloud data services. Monitors system capabilities, identifies improvement opportunities, and implements upgrades and enhancements. Develops and mentors data engineers to build technical proficiency and career growth within the team. Provides technical expertise and problem-solving support for complex data issues within ongoing projects. Supports operational and business decision-making by ensuring timely and accurate data availability across key systems. Responsible for team financial management including annual operating plan (AOP), budget management, and forecasting to ensure alignment with organizational goals

About Us

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.Leads a team of data engineers in designing, building, and maintaining scalable data pipelines and infrastructure. Collaborates with business stakeholders, IT partners, and analysts to implement data engineering solutions that support analytics and reporting needs. Translates strategic guidance into actionable engineering plans and ensures high-quality, timely delivery of data solutions. Promotes best practices in data architecture, governance, and performance optimization across projects.