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Python Software Engineer - Data Solutions

Summary

Build and optimize Python-based data solutions on Databricks for capital markets products, including ETL pipelines, data models, and automated testing in an Agile environment.

Become a pivotal force in data solutions as a Software Engineer. Utilize your expertise in Python and Databricks to drive the development of high-performance applications. This role requires a technical professional who thrives in an Agile environment, focusing on enhancing capital markets products. You will collaborate with business teams to assess requirements, design scalable solutions, and automate testing processes. Your engineering skills will ensure the implementation of effective data models and efficient integration of various data technologies. Key Responsibilities: • Understand user requirements and conduct assessments • Collaborate with architecture on solution design • Deliver and enhance applications through effective coding • Write deployment scripts and automate testing • Coach end users and participate in team meetings Requirements: • 4+ years’ experience with Python and SQL • Expertise in data technologies and ETL pipeline design • Familiarity with cloud platforms and orchestration tools • Agile and DevOps experience • Bachelor’s degree in relevant engineering discipline Utilize your expertise in Python and data technologies to transform capital markets solutions while fostering a culture of continuous learning.

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