adp

Associate, Data Engineer

BasePoint

New York City, USA

Full-time

Entry · 2+ years experience

Onsite

Discovered 1 weeks ago

SnowflakedbtDagsterAirflowAWSS3

Free

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Key skills for this role

SnowflakedbtDagster

Data Infrastructure: Design, build, and optimize batch data pipelines, ELT processes, and Snowflake data warehouse objects to support efficient data ingestion, storage, and retrieval.
dbt Development: Contribute to and extend the firm's dbt project, including seed management, model graph optimization, schema design, and pipeline reliability.
Orchestration: Maintain and expand Dagster orchestration for batch ingestion pipelines, ensuring reliable scheduling and observability across daily, weekly, and monthly data loads.
AWS Infrastructure: Build and maintain Snowflake-AWS integrations including S3 storage integrations, IAM roles, and CloudFormation configurations supporting our cloud data layer.
Data Quality: Support data quality and reconciliation workflows for collateral data pledged against lending facilities. Identify inconsistencies and anomalies and implement appropriate resolutions.
Data Modeling: Define and maintain data models and schemas that enable efficient analytics, reporting, and visualization, consistent with data governance standards.
Documentation: Document data processes, pipeline flows, and data structures in a way that supports team knowledge-sharing and auditability.
AI Agent Operations: Support the deployment, monitoring, and ongoing maintenance of AI agents developed by the data team, including managing data sources, pipeline dependencies, and integrations that those agents rely on.

Bachelor's degree in Data Science/Analytics, Information Systems, Computer Science, or a related field.
2+ years of experience in a Data Engineering or Analytics Engineering role. Candidates with a strong analytics background and demonstrated pipeline development experience will also be considered.
Experience working with finance-related data (FinTech, lending, financial services, or related industries preferred).
Advanced SQL skills and demonstrated experience working with complex, multi-source data sets.

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