Vialto Partners

Manager, Enterprise Data Engineer

Vialto Partners  •  $168k - $225k/yr  •  New York City, NY (Onsite)  •  5 hours ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Manager, Enterprise Data Engineer, Galaxy US Opco Inc., New York, NY. Help organizations to design, develop and implement data pipelines and architectures to support enterprise data initiatives. Support the development and optimization of ETL/ELT processes for data integration from diverse structured and unstructured sources. Ensure data quality, consistency, and governance across the data platform in accordance with organizational standards and compliance requirements. Utilize big data and cloud to build and manage enterprise-grade data solutions. Collaborate with team to support analytics, reporting, and machine learning initiatives with reliable and timely data delivery. Supervise and Coach team.

40 hrs/week, Mon-Fri, 8:30 a.m. - 5:30 p.m. Salary: $167,835 - $225,000/yr. VNY01

MINIMUM REQUIREMENTS:

Must have a Bachelor’s degree or foreign equivalent in Management Information Systems, Engineering, Business Administration, or a related field, plus 5 years of progressive, post- bachelor’s related work experience.

In the alternative, the employer will accept a Master’s degree or foreign equivalent in Management Information Systems, Engineering, Business Administration, or a related field, plus 3 years of related work experience.

Must have at least one year of experience with each of the following:

· Designing and implementing the architecture for the Enterprise Data Platform, focusing on CI/CD pipelines for applications and integrating Azure Data Factory pipelines to enable seamless data movement between enterprise systems like ADLS and Snowflake;

· Utilizing Python / Power-shell skills to script jobs to automate the routine tasks such as scheduled maintenance and dynamic scale up of resources by using Azure Server less services to optimize the cost of running such utilities;

· Ensuring that all the automated build and deploy pipelines (CI/CD) are working without any issues and remediating issues immediately with minimal impact to services; and

· Deploying GPT based artificial intelligence models in Azure Open AI service and monitoring the parameters such as token count, cost of operation, also working with other Azure AI tools such as Search Service, Document Intelligence, Text analytics etc.

100% telecommuting permitted.

Domestic and/or international travel up to 25% of the time is required.

Multiple Positions Available.

Vialto Partners

About Vialto Partners

Vialto Partners is focused on transforming the global mobility ecosystem to support multinational organizations and their employees. The organization sparks growth and creates meaningful impact for businesses and individuals in more than 150 countries, supported by a team of over 6,000 dedicated immigration, tax, human resources and technology professionals. ​

Vialto Partners offers clients:​

Tax solutions: Strategic tax planning, preparation and cross-border compliance services, including tax equalization and employment structures.​

Immigration services: Immigration-related consulting, processing and compliance services informed by knowledge of government regulations and rapidly changing immigration laws.​

Compensation and rewards: Integrated, end-to-end payroll and compensation management and reporting to ensure holistic global reporting, local compliance and overall cost-effectiveness.​

Dynamic work strategy and services: Design and implementation of real-time mobility strategies and services—from mobility managed services to remote work and business travel solutions.​

Vialto Partners is reimagining the future of global mobility, driving the mobility ecosystem forward to create a more connected, integrated and efficient supply chain to meet and exceed the evolving challenges and complexities of global workforce management. #vialtopartners​

Industry
Consulting & Advisory
Company Size
5,001-10,000 employees
Headquarters
London, GB
Year Founded
Unknown
Social Media