Senior Data Engineer, Azure Databricks & Bloomberg Feeds

Robotic Technologies Automation; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

ROBOTIC PROCESS AUTOMATION LLC in New York seeks a senior Data Engineer to manage batch processes and data pipelines across Azure Databricks and Data Factory, integrating Bloomberg feeds for trading platforms.

You will monitor, troubleshoot, and optimize ETL pipelines using Python and SQL, ensure data quality, and collaborate with operations and infrastructure teams to resolve issues in a financial services setting.

Qualifications

• 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).

Responsibilities

• Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory.
• 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.
• Collaborate with operations, application support, and infrastructure teams to resolve incidents and enhance data workflows.

Skills

Azure Databricks

Azure Data Factory

Azure Storage

Logic Apps

Fabric

Python

SQL

ETL pipelines

Bloomberg data feeds

Tools

Bloomberg data feeds (BPIPE, TSIP, SFTP)

Job description

ROBOTIC PROCESS AUTOMATION LLC in New York seeks a senior Data Engineer to manage batch processes and data pipelines across Azure Databricks and Data Factory, integrating Bloomberg feeds for trading platforms.

You will monitor, troubleshoot, and optimize ETL pipelines using Python and SQL, ensure data quality, and collaborate with operations and infrastructure teams to resolve issues in a financial services setting.