Senior Data Engineer, Vice President
Core
Design and develop large-scale Cloud Data Lake architectures and enterprise applications for financial services clients.
Role type
Senior hands-on Data Engineer (Cloud Data Lake)
Builds
Cloud data lake infrastructure, data ingestion pipelines, and high-volume data processing systems
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Cloud platform design (AWS/Azure), Databricks, PL/SQL, Java/J2EE, Python, Scala, PERL, Data Modeling, ELT pipelines, Big-data processing, Cloud Security (IAM, Encryption), CI/CD, DevOps
Preferred skills
None stated
Technologies
AWS, Azure, Databricks, PL/SQL, Java, Python, Scala, PERL
Responsibilities
End-to-end Cloud Data Lake design and development, building data integrations between on-prem and cloud systems, developing high-volume data ingestion components, managing cloud data lake deployment tools, implementing cloud infrastructure for business needs, participating in technical design and production deployment, ensuring cost efficiency and security of cloud solutions
Seniority
Senior, hands-on IC