This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and sustain cloud-native data pipelines and data lake architectures in Snowflake for Asset-Backed Finance investment and portfolio analytics.

• Develop and oversee scalable ETL/ELT workflows to ingest, transform, and curate both structured and unstructured data.

• Provide support for analytics and reporting use cases, which include data reconciliation, validation, and ensuring the integrity of financial data.

• Facilitate the migration from legacy systems to a contemporary data platform through data mapping, transformation logic, and architectural alignment.

• Decompose tasks into Epics/User Stories within Jira.

• Assist in project planning, scheduling, and coordination across teams.

• Help with testing, cutover planning, and ensuring go-live readiness.

⛳️ Requirements

• Over 8 years of progressive experience in data engineering, data platform development, or enterprise analytics.

• Demonstrated success in building enterprise data models and warehouse architectures within the contexts of financial services, investment management, or the ABF/portfolio analytics domain.

• Advanced expertise in Snowflake, including SQL performance optimization, architecture, security, and schema design.

• Practical experience with Dagster for orchestrating workflows, managing dependencies, and monitoring.

• Strong familiarity with essential AWS services such as S3, Glue, Lambda, IAM, ECS, EMR, or Redshift.

• Expert-level proficiency in Python and advanced SQL for intricate data transformation and ELT design.

• Competency with Jira for managing backlogs and planning Agile sprints.