*No Relocation *No Sponsorship A Data Engineer with good Python engineering and SQL experience is required by a Global tech-focused investment firm (based in Boston), investing in application software, infrastructure software, consumer software, and industrial technology. This is a great opportunity to work closely with a Data Architect to build and scale the company's data platform, as well as start to work on/implement Machine Learning models! Applicants must have at least 2 years experience in industry (not intern or school) with Python and SQL. Responsibilities: Collaborate with the Data Architect and various stakeholders to design and maintain a cutting-edge data warehouse. Implement data models, schemas, and ETL processes. Aggregate data from multiple sources, ensuring data integrity and quality. Integrate new data sources using Snowflake and develop data pipelines for machine learning workflows. Ensure data governance, security, and optimal database performance. Stay updated with industry trends in database design, data engineering, and machine learning. Requirements: 2-6 years’ experience in data engineering or data science. BS in Computer Science, Mathematics, Finance, or related field. Strong Python and SQL skills; experience with Airflow, Dagster, or Prefect. Proficiency in AWS or similar cloud platforms. Familiarity with dbt and strong problem-solving skills. Desired experience with MLOps. Finance or investment industry experience is a plus. If you are interested in this opportunity or would like to learn more, please submit your resume or feel free to contact Frazer Spackman. #J-18808-Ljbffr Huxley
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