Über
6+ Years Core Skills: Programming & Data Engineering:
Python, PySpark, Spark, Hadoop, Kafka, ETL pipelines, ELT pipelines, scalable data processing Big Data Technologies:
Big Data ecosystems, distributed data processing, structured & unstructured data handling Database Technologies:
SQL, NoSQL databases, data modeling, query optimization Domain Expertise:
KYC, AML, Client Onboarding, client lifecycle management, financial data processing Cloud & Platform Technologies:
Cloud platforms, scalable data infrastructure, performance optimization Engineering Practices:
Agile/Scrum, cross-functional collaboration, pipeline reliability, Spark job optimization Key Responsibilities: Design, develop, and maintain scalable ETL/ELT data pipeline Process and manage large-scale structured and unstructured datasets Build KYC/AML data solutions supporting client onboarding workflows Optimize PySpark/Spark jobs for scalability and performance Collaborate with agile teams, business stakeholders, and engineering teams Ensure reliability and efficiency of big data processing solutions
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.