Data Engineer

With roots dating back to the 1800s, our Customer is a global professional services firm HQ’d in New York City with businesses in insurance brokerage, risk management, reinsurance services, talent management, investment advisory, and management consulting. Today, they are a unique group of businesses with many enduring competitive advantages. Among them are the quality of their colleagues, deep client relationships, vast global footprint, depth of intellectual capital, and cohesive and collaborative culture.

We are seeking a contract Data Engineer with expertise in Python ETL and Azure experience. We are seeking a highly skilled and motivated individual who can contribute to the team and help drive our data engineering initiatives. This role is hybrid (onsite 3 days a week) in New York, NY.


Responsibilities:

• Build a very flexible data capture system
• Build out data plans on Azure Cloud
• Understand the business requirements
• Work with compliance and security team
• Collect revenue data for brokers

Qualifications:

• 8-10 years of relevant experience
• Experience in the Financial or Banking industry
• Python ETL: The ideal candidate should have strong proficiency in Python programming language and experience in Extract, Transform, Load (ETL) processes. They should be able to design and develop efficient ETL workflows to extract data from various sources, transform it as per business requirements, and load it into target systems.
• Azure experience: The candidate should have hands-on experience working with Microsoft Azure cloud platform. They should be familiar with Azure services and tools, and have a good understanding of Azure architecture and best practices.
• Azure Data Factory, DataBricks, Azure Storage, and Azure VM: The candidate should have practical experience with Azure Data Factory, DataBricks, Azure Storage, and Azure Virtual Machines. They should be able to design and implement data pipelines using Azure Data Factory, perform data transformations and analytics using DataBricks, and manage data storage and virtual machines in Azure.
• Data Governance, Data Quality, and Controls: The candidate should have a strong understanding of data governance principles, data quality management, and data controls. They should be able to implement data governance frameworks, establish data quality standards, and ensure compliance with data regulations and policies.
• Experience implementing alerts and notifications for batch jobs: The candidate should have experience in setting up alerts and notifications for batch jobs. They should be able to configure monitoring and alerting mechanisms to ensure timely identification and resolution of issues in batch job execution.

We offer a competitive salary range for this position. Most candidates who join our team are hired at the median of this range, ensuring fair and equitable compensation based on experience and qualifications.

Perks are available through our 3rd Party Employer of Record (Available upon completion of waiting period for eligible engagements)
Health Benefits: Medical, Dental, Vision, Life (including spouse & child), 401k, STD/LTD, AD&D, and Commuter Benefits program.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.