Description

You will lead the engineering effort for critical data integration systems.

Responsibilities

• Design and implement scalable data pipelines for market, reference, and transactional data.
• Develop ETL processes to ingest data from trading platforms, market data providers, and internal systems.
• Collaborate with trading desks, risk teams, and compliance to understand data requirements.
• Ensure data integrity, lineage, and governance across systems.
• Optimize data storage and retrieval for real-time and batch processing.

Required Skills

• 5+ years of experience in data engineering, preferably in financial services.
• Strong proficiency in Python and SQL.
• Expertise in Data Modelling.
• Hands-on experience with cloud platforms including AWS, Azure, or GCP.
• Experience with data orchestration tools such as Kafka, Spark, or Airflow.
• Knowledge of ETL processes and data governance frameworks.
• Experience handling capital markets data (equities, fixed income, derivatives).

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, Finance, or related field.

Key Skills

Education

Any Graduate