Description

You will build and maintain data pipelines for financial applications.

This role is hybrid.

Responsibilities

• Design and implement data models for complex datasets.
• Orchestrate data workflows using tools like Kafka, Spark, or Airflow.
• Develop and optimize ETL processes using Python and SQL.
• Manage and apply data governance frameworks.

Required Skills

• 5+ years of experience in data engineering, ideally in financial services.
• Strong proficiency in Python and SQL.
• Expertise in Data Modeling.
• Hands-on experience with AWS, Azure, or GCP.
• Experience with data orchestration tools (Kafka, Spark, Airflow).
• Familiarity with capital markets data (equities, fixed income, derivatives).
• Knowledge of data governance and metadata management.

Key Skills

Education

Any Graduate