Sr Data Engineer

CW-Info Systems Engineer IV The Engineering job designs information systems that are appropriate for users'''' needs and consistent with the overall design of the organization''''s information systems architecture. Under limited supervision, this job is responsible for the installation, configuration and maintenance of the organization''''s operating systems. Key Responsibilities and Duties Formulates system scope through research and fact-finding to develop or modify moderately complex information systems. Evaluates and implements changes to existing system logic difficulties and documentation as necessary. Reviews flow charts, models, and procedures and feasibility studies to design possible system solutions. Reviews technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system. Collaborates with system analysts, engineers, and programmers to design systems and to determine project limitations and capabilities, performance requirements, systems performance standards, and interfaces. Identifies and documents all system constraints, implications and consequences of various proposed system changes. Educates end users on system designs and functionalities through creation of training materials and conducting demos. Evaluates the efficiency and effectiveness of application operations and troubleshooting problems. Educational Requirements University (Degree) Preferred Work Experience 5+ Years Required; 7+

Years Preferred Physical Requirements Physical Requirements:

Sedentary Work Career Level 8

IC Responsibilities:

Develop ETL frameworks and tools Design and optimize databases (e.g., Snowflake, PostgreSQL, MySQL). Deploy and manage cloud solutions on AWS (Lambda, Glue, S3, Airflow). Implement CI/CD pipelines, security best practices, and performance monitoring. Lead technical discussions, mentor developers, and drive best practices.

Requirements:

5 to 7 years of experience in Python backend development. Expertise in Snowflake, PostgreSQL, and other DB tools. Expertise in AWS services, Scalr, Terraform. Experience with ETL frameworks and tool Experience with Kafka, event-driven architecture. Strong problem-solving, analytical, and communication skills.

Nice to have:

Experience with working for technology department of Asset Management firms