Description

You will manage and support batch processes and data pipelines.

Responsibilities

• Integrate and process Bloomberg market data feeds and files into trading or analytics platforms.
• Monitor, troubleshoot, and resolve data and system issues related to trading applications and market data ingestion.
• Develop, automate, and optimize ETL pipelines using Python, Spark, and SQL.
• Manage FTP/SFTP file transfers between internal systems and external vendors.
• Ensure data quality, completeness, and timeliness for downstream trading and reporting systems.

Required Skills

• 10+ years of experience in data engineering or production support within financial services or trading environments.
• Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Storage, Logic Apps, Fabric.
• Strong Python and SQL programming skills.
• Experience with Bloomberg data feeds (BPIPE, TSIP, SFTP).
• Proficiency in Azure Databricks.
• Proficiency in Azure Data Factory.
• Proficiency in Python.
• Proficiency in Spark.
• Proficiency in SQL.

Key Skills

Education

Any Graduate