Data Engineer

Data Model and Structure Definition:

• Design and develop conceptual, logical, and physical data models for data sets across a variety of financial data sets.

• Collaborate with product management and the economic research team to understand data requirements and translate them into effective data models.

• Ensure data models are aligned with business goals and effectively support transactional, analytical and operational needs.

Data Integration and ETL:

• Design and implement ETL processes to integrate data from various sources into the data lakes.

• Ensure data quality, consistency, and integrity throughout the data lifecycle.

• Develop and maintain documentation for data models and ETL processes.

Minimum Requirements:

• 5+ years' experience working within AWS technologies (S3, Redshift, RDS, etc.).

• 3+ years' experience working with dbt.

• 3+ years of experience with orchestration tooling (Airflow, Prefect, Dagster).

• Strong programming skills in languages such as Python or Java.

• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, Data Fusion).

• Familiarity with data governance tooling such as Monte Carlo, Atlan.

• Excellent problem-solving and analytical skills.

• Strong communication and interpersonal skills.

• Ability to work collaboratively in a team environment.

Required Skills : Data Analysis

Basic Qualification :

Additional Skills : Data Engineer

Background Check : No

Drug Screen : No