Hands on Data Engineer with some architecture skills to operate in a lead role. The role involves understanding the underlying business problem to enable and deliver a technical solution. Heavy experience in asset management/financial services is needed. A strong background working within GCP. Strong experience working with Snowflake or Redshift. Specific experience coding in Python is needed.
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This Cloud Data Architect role is an integral part of our Client Services team in LATAM. As a Cloud Data Architect you will be working with rapidly growing companies in North America\EMEA and around the world. Apply your hands-on experience & skills in a consultative manner to address our customersβ strategic and tactical needs around cloud technologies.
Work with a team of engineers to build first-party and third-party data integration with external data sources. Build and architect scalable low-latency backend systems and big data pipelines. Provide technical guidance in designing scalable solutions and best practices. Make a positive impact on the team's productivity and growth.
This role involves developing high-quality applications by implementing testable and scalable code as an integral part of a development team. You will design, develop, and maintain robust data architectures, manage and build ELT and ETL pipelines between internal & external data stores, and leverage AWS services to build optimized solutions. Documenting data engineering processes, standards, and best practices is also required.