Lead Data Platform Engineer
Designs and maintains scalable data platforms for financial institutions, integrating cloud, AI/ML, and big data tools to enable analytics and decision-making.
- Compensation
- Not disclosed
- Location
- Not listed
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 10+ years experience with data, cloud, GenAI, ML, big data, NoSQL, RDBMS, distributed computing
- 6-8 years of experience, preferably in banking environments
- Experience with data engineering, big data technologies, data transformation, cloud, and AI/ML
- Relevant cloud certifications (AWS/Azure/Google Cloud Architect)
- Experience architecting and building scalable data platforms
- Experience with Hadoop distributions (Cloudera, Amazon EMR, GCP)
- Knowledge of data security and privacy regulations
Full description
Job Requirements
10+ years experience with relevant tool and technology such as DATA, Cloud , GenAI, ML architecting and integrating the bigdata, NoSQL, RDBMS, Cloud and Distributed computing platform
At least 6 to 8 years of working experience, preferably in banking environments
Experience with Data Engineering or Big Data Technologies, or Data Transformation, Cloud and AI/ML.
Relevant cloud certifications, such as AWS Certified Solutions Architect, Azure Solutions Architect, or Google Cloud Certified - Professional Cloud Architect.
Experience in architecting and building scalable data platforms.
Experience with major Hadoop distributions like Cloudera , Amazon EMR, or GCP is essential.
Knowledge of data security and privacy regulations.