Senior Data Engineer
Phaxis - Greenwich, CT
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This range is provided by Phaxis. Your actual pay will be based on your skills and experience "” talk with your recruiter to learn more. Base pay range $150,000.00/yr - $180,000.00/yr We are seeking a skilled and experienced Senior Data Engineer to join our client, a leader in the financial industry. This role is pivotal in designing, developing, and implementing robust data pipelines to support their analytics and AI initiatives. The ideal candidate will have a strong technical background, a passion for data, and a proven track record of delivering high-quality data engineering and data science solutions. Key Responsibilities: Design, build, and maintain scalable and efficient data pipelines to process and transform large volumes of financial data. Collaborate with data scientists and AI teams to perform feature engineering and optimize data for AI and machine learning applications. Ensure data quality, consistency, and reliability across all systems and processes. Work closely with cross-functional teams to understand data requirements and deliver tailored solutions. Identify valuable data sources and develop automated processes for data collection and integration. Optimize data workflows and implement best practices for performance and scalability. Monitor, troubleshoot, and improve data pipelines and workflows to ensure seamless operations. Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience as a Data Engineer or similar role, preferably in the financial industry. Proficiency in Python and Python ML frameworks, experience with Java is a plus. Expertise in data processing frameworks (e.g., Apache Spark, Kafka) and cloud platforms (e.g., AWS, Azure, GCP). Strong SQL skills and experience with relational and non-relational databases. Familiarity with feature engineering techniques for AI and machine learning applications. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology #J-18808-Ljbffr
Created: 2025-02-01