Data Engineering Manager leading a new Data Engineering team in Bengaluru. Shaping the design and scaling of core data engineering practices across the organization.
Responsibilities
Build and lead our new Data Engineering team in Bengaluru.
Shape how we design, operate, and scale our core data engineering practice ensuring it is reliable, scalable, and able to power products, analytics, and intelligent systems across the organization.
Work hands-on with data engineering practices, designing and delivering robust data pipelines, models, and datasets.
Build data products that can be reliably consumed by multiple teams and systems across the organization.
Drive the evolution of our data platform architecture, elevate engineering excellence, and foster a culture of collaboration, ownership, and continuous improvement.
Strengthen our data platform to support advanced analytics, AI, and ML at scale.
Requirements
Experience – 10+ years.
Experience as a Data Engineering Manager or in a similar leadership role within data engineering or data platform teams.
Strong technical background in data engineering, including experience building, operating, and scaling modern data platforms.
Solid understanding of IAC, ETL/ELT and working with both batch and real-time (event-driven) data.
Experience with modern data technologies and delivering data to internal and external stakeholders.
Familiarity with data platform architectures, including streaming frameworks, workflow orchestration, and metadata/data quality management.
Hands-on experience with cloud platforms (e.g. GCP, AWS) and their data services.
A strong advocate for engineering excellence with a track record of improving data engineering practices, reliability, and operational efficiency.
Excellent communication and interpersonal skills, with the ability to articulate complex data and platform concepts to both technical and non-technical audiences.
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