Data Engineer

About the Company :

This client is a fundamental value investment firm focused on quality and value. Their machine learning initiatives are designed to augment and potentially replace research analysts in investigative journalism tasks. We foster an environment where passion for technology and innovation thrives.

Role Responsibilities :

Take over the management of the database, including permissions and architecture

Create ETL pipelines to feedback into ML pipelines.

Onboard new data sets and integrate them with existing ones.

Convert more work to dbt as a first project.

Convert high-priority tasks to Change Data Capture (CDC).

Build and optimize ETL pipelines to remove bottlenecks.

Ensure best practices in data governance and security.

Technical Skillsets :

3+ years of proven industry experience, preferably in the finance sector.

Strong Python experience in producing optimized and efficient code

Proficiency in PostgreSQL, including specific optimizations.

Knowledge of best practices in database architecture and security, including data governance and permission allocation.

Experience with dbt or similar data transformation tools

Experience with Change Data Capture (CDC).

Background in the financial industry (an economics degree is a plus).

Expertise in creating high-performance Python code and optimizing pipelines.

Familiarity with Cassandra or other NoSQL databases

Benefits :

$110,000 - $140,000 Base Salary

Collaborative working environment

Colleagues who are just as passionate about keeping up with current market trends as you!