Senior Data Engineer

We are Seeking a Senior Data Engineer to support data needs for institutional advisor services, including portfolio construction, model management, and funds comparison. This is a high-exposure role working with major clients, requiring strong communication skills and expertise in data engineering, ETL processes, and cloud technologies.

• Design and develop ETL reporting and analytics solutions.
• Implement innovative data integration solutions using cloud and traditional infrastructure technologies.
• Move data through various stages into target databases (Postgres).
• Support production debugging and processing of vendor data.
• Collaborate with Data Architects, Business Analysts, and Solution Architects for end-to-end development activities.
• Create, update, and maintain technical documentation for software-based projects.
• Solve production issues and provide ongoing support.
• Participate in architecture, technical design, and product implementation discussions.
• Work in Agile environment based on JIRA stories.
• Mentor junior data engineers and assist in technical guidance.

• Bachelor’s degree in Computer Science or related field (preferred).
• 6+ years of experience in data engineering.
• Strong experience with Python for ETL batch jobs.
• Heavy SQL experience for data analysis, validation, and querying.
• Proficiency with AWS services (IAM, EC2, S3, Lambda, RDS).
• Experience with Postgres database.
• Advanced knowledge of data warehousing methodologies and concepts.
• Familiarity with Dev Ops, CI/CD tools (Maven, Jenkins, Docker).
• Strong debugging and production support skills.
• Excellent interpersonal and communication skills.
• Ability to work with global Agile teams and mentor peers.

• Experience with Snowflake.
• Java for API development (training can be provided).
• Asset management domain knowledge.
• Experience with ETL tools (Informatica, Snaplogic).
• Working knowledge of Unix/Linux and shell scripting.