Ztek Consulting
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a contract length of "Unknown," offering a pay rate of "$X per hour." Requires 10+ years in financial services, expertise in Azure Databricks, Python, SQL, and Bloomberg data feeds.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
December 9, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Hamilton, NJ
-
🧠 - Skills detailed
#Data Pipeline #Logic Apps #Azure Data Factory #Batch #Spark (Apache Spark) #Python #GIT #Azure DevOps #Data Ingestion #SQL (Structured Query Language) #Databricks #Azure Databricks #"ETL (Extract #Transform #Load)" #DevOps #Azure #Programming #Data Quality #Storage #ADF (Azure Data Factory) #Data Engineering #Automation
Role description
Key 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.
Required Skills & Experience:
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).
Experience with Git, CI/CD pipelines, and Azure DevOps.
Proven ability to support batch jobs, troubleshoot failures, and manage job scheduling.
Experience handling FTP/SFTP file transfers and automation (e.g., using scripts or managed file transfer tools).
Solid understanding of equities trading, fixed income trading, trading workflows, and financial instruments.
Excellent communication, problem-solving, and stakeholder management skills.
Key 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.
Required Skills & Experience:
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).
Experience with Git, CI/CD pipelines, and Azure DevOps.
Proven ability to support batch jobs, troubleshoot failures, and manage job scheduling.
Experience handling FTP/SFTP file transfers and automation (e.g., using scripts or managed file transfer tools).
Solid understanding of equities trading, fixed income trading, trading workflows, and financial instruments.
Excellent communication, problem-solving, and stakeholder management skills.
