Data Engineer
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As a Senior Data Engineer, you will work with a highly effective team developing quality and scalable data solutions within a leading Asset Management technology organization. You will collaborate closely with engineering teams, contribute to data platform initiatives, and continuously improve engineering efficiency and delivery practices.
Required Skills & Experience
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7+ years of experience developing high-quality data solutions.
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Experience in software development within the financial services industry.
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Strong expertise in Oracle PL/SQL development, SQL scripting, and database performance tuning.
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Intermediate experience with Java development preferred.
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Solid understanding of ETL tools such as Informatica and data warehousing platforms like Snowflake.
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Ability to analyze data, identify patterns, gaps, and issues, and develop effective solutions.
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Strong problem-solving skills with the ability to independently assess technical challenges and implement innovative solutions.
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Experience with data modeling, quantitative analysis, and multidimensional data structures.
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Understanding of data architecture concepts including Transactional Systems, Data Marts, and Data Warehouses.
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Basic knowledge of Python, REST APIs, and AWS is a plus.
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Experience with DevOps and CI/CD practices using tools such as Maven, Jenkins, Git, and Docker.
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Experience working in Agile environments utilizing Scrum and Kanban methodologies.
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Strong written and verbal communication skills.
Team Overview
The team provides data engineering and analytics solutions supporting investment management, research, trading, and investment operations functions. The platform manages multi-terabyte datasets used by investment professionals to support critical business decisions and serves a wide range of internal stakeholders across global financial operations.
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