Data Engineer in New York NY

Godiva Chocolatier logo
Godiva Chocolatier
Title: 
Data Engineer
Date: 
10/11/2021
Job ID: 
JR14793
Location: 
New York NY
Degree: 
Not Specified
Salary: 
Not Specified
Job Types:
Application Specialist, Business Analyst, IT Manager

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PURPOSE:

The Data Engineer will participate in the development, expansion and upkeep of data information needs and flow within the predefined architecture. They will obtain an understanding of source applications for data and will develop the most effective approach to ensure that recipients are able to receive and access data in the most effective manner. They will have a working knowledge of tools utilized for data extraction and transfer, the standards utilized for the movement of data as well as the database design for any staging necessary to support data accessibility. They will work with the Data Management team to develop the systematic approach in support of assigned projects/work..

The Data Engineer will also establish service standards and operating policies/procedures/documentation based on corporate standards and policies.

PRINCIPAL ACCOUNTABILITIES

  • Leads in the development, testing, implementation and maintenance of uni-directional and bi-directional interfaces in support of information needs for the business application environment.

  • Develops and manages data extraction, staging and data transfer processes for the business in the provision of data to business applications .

  • Utilizes data storage, access and transfer policies and procedures instituted.

  • Designs and builds data integration methods to guarantee accuracy as well as accessibility of all valuable data while understanding what data is important for the business and why.

  • Provide support as required to ensure the availability and performance of ETL schedules, SSIS scripts and the overall data feed platform.

  • Ensure proper configuration management and change controls are implemented

  • Provide technical assistance and cross training to other team members.

  • Design and implement technology best practices, guidelines and repeatable processes

REQUIRED QUALIFICATIONS

  • Bachelor s degree in Computer Science, Computer Engineering or a similar field

  • 2+ years of Microsoft SQL Development Experience

  • 2+ years of experience in data warehousing and ETL processes

  • 1+ years of experience with Python

  • Advanced problem-solving, debugging, and troubleshooting skills

  • Excellent client support skills

  • Proficient with version control systems, ideally GitHub

  • Ability and willingness to learn new things (languages, tools, frameworks) quickly

  • Experience with the Microsoft BI Stack (SSIS, SSAS, SSRS) preferred

  • Experience with NoSQL technologies preferred

PROFESSIONAL SKILLS QUALIFICATIONS

  • Strong communication, problem solving, and organizational skills

  • Must be detail oriented, quality driven, and able to shift quickly to new tasks

DESIRED QUALIFICATIONS

  • Experience with Azure technologies including Azure Data Lake, Azure Data Factory, Azure Synapse Analytics

  • Knowledge of developing data feeds to and from Dynamics 365 Finance & Operations is a plus

Godiva and affiliates, is an Equal Opportunity Employer, committed to hiring a diverse workforce. All openings will be filled based on qualifications without regard to race, color, sex, sexual orientation, gender identity, national origin, marital status, veteran status, disability, age, religion or any other classification protected by law.

Search Firm Representatives please read carefully:
Godiva is not seeking assistance or accepting unsolicited resumes from search firms for this employment opportunity. Regardless of past practice, all resumes submitted by search firms to any employee at Godiva via-email, the Internet or directly to hiring managers at Godiva in any form without a valid written search agreement in place for that position will be deemed the sole property of Godiva, and no fee will be paid in the event the candidate is hired by Godiva as a result of the referral or through other means.

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