Data Engineer at Equinix implementing data architecture solutions for scalability and analytics. Collaborating with teams to design data pipelines and maintain data models for business objectives.
About the role
- 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.
Benefits
- Health insurance
- Flexible working arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Warehouse Architect developing and optimizing robust data warehouse environments on SAP BW/4HANA. Critical for enabling advanced analytics and reporting across the organization.
Sr. ETL/Data Warehouse Lead at Huntington designing, developing, and supporting ETL and Data Warehousing framework. Analyzing systems based on specifications and providing technical assistance.
Senior Google Data Architect designing and delivering scalable data solutions on Google Cloud Platform. Collaborating across teams to shape target - state data architectures and influence enterprise data strategy.
Data Engineer developing scalable data lake solutions and optimizing data pipelines at U.S. Bank. Collaborating with teams to manage data governance and cloud migration activities.
Lead AI, MLOps & Data Engineer at WedR, guiding complex data projects and AI innovation. Collaborate with diverse experts in a Product Studio for digital transformations.
Lead Azure Databricks Data Engineer at Ryan Specialty focused on implementing data solutions and collaborating with cross - functional teams to enhance data architecture.
Lead Azure Databricks Data Engineer implementing data solutions for data engineering projects at Ryan Specialty. Collaborating with stakeholders and mentoring junior staff on data pipelines and ETL processes.
Senior Data Engineer designing and implementing sustainable data solutions for diverse clients. Collaborating closely with stakeholders to enhance data services and platforms in a hybrid environment.
Risk Data Engineer and Architect at Lincoln Financial supporting risk analytics through AWS data solutions. Building scalable data pipelines and collaborating with cross - functional teams.