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Need for Data Engineer Hybrid at NY at Remote, Remote, USA
Email: [email protected]
From:

shyam,

4serve

[email protected]

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Data Engineer SME (2 positions)

Location: NYC / Charlotte (Candidate should be open for hybrid work model)

Job Description

Our client, a global Japanese bank, is looking to upgrade their regulatory reporting feeds. In your role as a data engineer, you will lead the design and building out of data pipelines from incumbent system into Snowflake, and from Snowflake into Axiom (for reporting purposes). The work will also include an interface allowing the bank to build and submit reports.

In this role you will be working alongside other data engineers, developers and business analysts.

The Role

Responsibilities:

        A background in financial services, investment banking, regulated sectors and large enterprise

        DevOps and Agile engineering practitioner with experience of test driven development

        Ability to work independently on specialized assignments within the context of project deliverables

        Take ownership of providing solutions and tools that iteratively increase engineering efficiencies.

        Design should help embed standard processes, systems and operational models into the BAU approach for end-to-end execution of Data Pipelines

        Excellent communication skills & team player and collaborator

        Expert knowledge of Industry Best Practice for ETL Design, Principles, Concepts.

        Working with Process Re-engineering and Operating Models

        Strong stakeholder management skills and stakeholder governance experience

You are:

        Working with diverse, cross-functional teams located locally and globally, and the ability to quickly develop and nurture strong working relationships

        Preferred

        Hands-on experience with or knowledge of Axiom data platform

        Have Snowflake SnowPro certified

        Snowflake Advanced Training

        Azure/AWS or GCP Data Engineer

        Azure/AWS or GCP Data Architect

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Mon Jan 09 20:44:00 UTC 2023

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