Data Engineer

This is a Data Engineer role focused on building and owning a cloud data platform, including ELT pipelines, data models, integrations, and reporting layers for financial data. The engineer will work heavily with Snowflake, SQL, and Python, while serving as a Snowflake SME and partnering with business and technology teams to ensure data is accurate, scalable, and reliable.

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. \n

• Minimum 3 years of data engineering experience, with 2 years focused on Snowflake. \n

• Proficiency in advanced SQL, Python, and Snowflake features like Streams, Tasks, and secure data sharing. \n

• Experience with data modeling methodologies and orchestration tools such as Airflow or Prefect. \n

• Familiarity with cloud infrastructure (AWS or Azure) and infrastructure-as-code tools like Terraform. \n

• Strong analytical and problem-solving skills with attention to detail and data accuracy. \n

• Preferred SnowPro Core or Advanced certification and experience with BI tools. \n

• Ability to work in a hybrid environment, balancing onsite and remote collaboration. \n

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• Design and maintain scalable ELT pipelines for diverse data sources, ensuring data integrity and accessibility. \n

• Develop dimensional and semantic models to support portfolio reporting and analytics. \n

• Implement automated data validation and reconciliation tests with detailed exception reporting. \n

• Collaborate with stakeholders to gather requirements and write technical specifications for data solutions. \n

• Act as a subject-matter expert on Snowflake capabilities, advising on patterns and cost implications. \n

• Support analysts by exposing well-documented, performant reporting layers for downstream applications. \n

• Integrate Snowflake with operational systems through collaboration with platform engineers. \n

• Participate in design reviews, providing technical feasibility and cost input on new initiatives. \n

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