MAIN DUTIES & RESPONSIBILITIES:

• Design, develop, and maintain ELT/ETL pipelines for batch and event‑driven data ingestion using Snowflake and AWS.
• Engineer and optimize Snowflake data models (tables, views, secure data shares) to support analytics, reporting, and downstream consumption.
• Develop scalable data processing solutions using SQL and Python.
• Integrate with AWS services such as S3, Lambda, Glue, and IAM to support data ingestion, processing, and access management.
• Build and maintain pipelines handling financial transactions and customer data, ensuring accuracy, completeness, and auditability.
• Apply data quality checks, reconciliation logic, and monitoring appropriate for regulated financial data.
• Partner with data architects to align pipelines with enterprise data models, standards, and governance expectations.
• Support production deployments using Git‑based version control, CI/CD pipelines, and infrastructure‑as‑code practices.
• Collaborate in Agile delivery teams, contributing to sprint planning, design reviews, and technical documentation.
• Other duties may be assigned.

MINIMUM REQUIREMENTS:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field required.
• Three (3)+ years of professional experience in Data Engineering or a related role required.
• Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
• Strong hands‑on experience with Snowflake, including data ingestion, transformations, and performance optimization.
• Experience working within AWS cloud environments, particularly with S3 and serverless services.
• Advanced SQL skills and experience working with large, complex datasets.
• Proficiency in Python for data processing and pipeline automation.
• Experience with modern data engineering tools and frameworks (e.g., dbt, Airflow, Spark/PySpark, or equivalent).
• Familiarity with Git, CI/CD practices, and production support workflows.

PREFERRED QUALIFICATIONS:

• Experience working in banking, financial services, fintech, or other regulated industries, as well as financial data domains and data governance concepts.
• Experience supporting analytics or BI tools (e.g., Tableau, Looker, Amazon QuickSight).
• Exposure to streaming or near‑real‑time data (Kafka, Kinesis, or event‑driven architectures).
• Certifications in SnowFlake, AWS or others preferred (Databricks and dbt).

WORK AUTHORIZATION & ELEGIBILITY:

• Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
• Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)

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