Senior Data Engineer with Databricks Expertise
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Summary
Senior Data Engineer responsible for designing and implementing data pipelines and analytics models using Databricks and AWS within the financial services sector. The role involves leading data architecture initiatives and promoting operational excellence.
Join Advisor360 as a Senior Data Engineer and leverage your expertise in Databricks and AWS to enhance enterprise data platforms. Focus on innovative data solutions and architecture excellence.
We are in search of a Senior Data Engineer with substantial background in data architecture and engineering. You will lead initiatives to design and implement data pipelines, analytics models, and support strategic programs across financial services. This role demands strong technical skills and the ability to work independently in a complex business landscape.
Key Responsibilities: • Develop and optimize data pipelines using Databricks and AWS tools • Guide data modeling and transformation projects • Create robust data models for reporting and AI/ML solutions • Transform business needs into scalable technical implementations • Promote data quality and operational excellence practices
Requirements: • 12+ years of experience in Data Engineering or Architecture • Deep expertise in AWS Data Services and Databricks framework • Strong background in data modeling methodologies • Advanced SQL and Python knowledge for ETL/ELT processes • Experience with DevOps methodologies and CI/CD practices
Bring your Data Engineering expertise to Advisor360 and help us achieve our data goals.
We are in search of a Senior Data Engineer with substantial background in data architecture and engineering. You will lead initiatives to design and implement data pipelines, analytics models, and support strategic programs across financial services. This role demands strong technical skills and the ability to work independently in a complex business landscape.
Key Responsibilities: • Develop and optimize data pipelines using Databricks and AWS tools • Guide data modeling and transformation projects • Create robust data models for reporting and AI/ML solutions • Transform business needs into scalable technical implementations • Promote data quality and operational excellence practices
Requirements: • 12+ years of experience in Data Engineering or Architecture • Deep expertise in AWS Data Services and Databricks framework • Strong background in data modeling methodologies • Advanced SQL and Python knowledge for ETL/ELT processes • Experience with DevOps methodologies and CI/CD practices
Bring your Data Engineering expertise to Advisor360 and help us achieve our data goals.