Description

You will design and build data infrastructure to support financial data analysis.

This role is on-site.

Responsibilities

• Design conceptual, logical, and physical data models for financial datasets.
• Implement ETL processes to integrate data from disparate sources into data lakes.
• Ensure data quality, consistency, and integrity across the entire data lifecycle.
• Develop and maintain documentation for data models and ETL pipelines.
• Collaborate with product management and research teams.

Required Skills

• 5+ years of experience with AWS technologies (S3, Redshift, RDS).
• 3+ years of experience using dbt.
• 3+ years experience with orchestration tooling (Airflow, Prefect, Dagster).
• Strong programming proficiency in Python or Java.
• Familiarity with big data technologies including Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, or Data Fusion.
• Familiarity with data governance tooling such as Monte Carlo or Altan.

Key Skills

Education

Any Graduate