Data Engineering

What are we looking for in our Data Engineering?

Details:

Job Title: Data Engineering

Duration: 06 months (Possible Extension)

Location: New York, NY 10036 (Hybrid)

Domain: Insurance company

Pay Rate: $69-76/hr on W2 (DOE)

Summary:

Data Engineer position with expertise in Python ETL and Azure experience. Client is seeking a highly skilled and motivated individual who can contribute to our team and help drive our data engineering initiatives.

Required:

Data Engineering

Hands-on position

Hit the ground running

Should be able to start building very quick

Experience in Financial or Banking Industry

Engineer to build out data plans on Azure Cloud

Agile Team

Understand the business requirements

Cross Functional stakeholder view

Work with compliance and security team

Capturing Client side of the business

Collecting revenue data for brokers

Build a very flexible data capture system

BAU functionality

15 people aligned within the team

Description:
• 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.
• 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.

Pride Global offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

#240980

Rate/Salary: $69-76/hr on W2 (DOE)