Data Management / Cloud Engineer

We are hiring a hands-on Data Management / Cloud Engineer to support our AML (Anti-Money Laundering) platform. The role focuses on data movement, ETL development, production monitoring, and AML model integrations.

You will be working in the Risk division supporting a third-party AML platform (Actimize) within a collaborative team environment.

This is an individual contributor role requiring strong technical expertise and the ability to work independently.

Key Responsibilities

Production Support

Monitor and manage ETL/data movement jobs.

Ensure scheduled jobs run successfully.

Investigate and resolve job failures.

Perform root cause analysis.

Coordinate with model teams, upstream/downstream systems, and business stakeholders.

Respond to alerts via monitoring tools.

Development & Enhancements

Develop and enhance ETL pipelines using Ab Initio.

Support new AML model implementations.

Work within established internal development frameworks.

Support AML alert mapping and workflow integrations.

Collaborate with internal teams and external AML platform partners.

Automation & Compliance

Develop automation scripts using Python.

Support data retention workflows (5-7 years based on regulatory requirements).

Ensure compliance with data governance and regulatory standards.

Required Technical Skills

Ab Initio (Mandatory - Non-negotiable)

Strong hands-on ETL development experience

Python

SQL

AWS Cloud experience (working within cloud environments)

Environment & Tools

ETL Tool: Ab Initio (Version ~4.0)

Cloud: AWS (environment exposure required; no infrastructure build)

Data ingestion from OneLake

Job Scheduler: Redwood

Monitoring & Alerts: PagerDuty

Internal routing and alert mapping frameworks

Financial Services industry experience

AML domain exposure

Actimize platform experience

Experience working in ECE environments