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Data Engineer

Job in New Orleans, Jefferson Parish, Louisiana, 70123, USA
Listing for: 3Mkllc-Softwaresolutions
Full Time position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: New Orleans

Overview

3MK Software Solutions is the leading software service solutions provider and IT staffing supplier company, outsourcing and complex implementation services for the business across different functional areas and technologies with a core focus on software development and web designing development and GIS Software solutions and services. Our team is our core strength, we have selected the most skilled and talented specialists from the IT industry, and we continuously invest in developing their capabilities.

The core management has many years of experience and has successfully leaded complex projects for major corporate in the field of healthcare, communication, retail and finance. During the term of these projects, the team had needed to develop an advanced implementation methodology.

Job Description

Role summary:

The Data Engineer will implement data-oriented solutions to support cloud-based software development. You will own the technical solutions needed for data ingestion, storage, access, and provisioning to enable large scale software and analytics deployment for our customers. You will be a member of an integrated squad working together to deliver successful outcomes on the GE Predix platform

Responsibilities
  • Architect, Design and develop new systems and tools to enable users to consume and understand data faster
  • Work across multiple cross-functional teams in high visibility roles and own the data solution end-to-end
  • Adopt a Fast Works mindset to support Business data and analytics projects
  • Help drive a best-in-class data engineering practice that will be leveraged across GE
  • Participates in setting strategy and standards through data architecture and implementation
  • Engineers structured and unstructured data from source systems to fit business needs
  • Establish and maintain policies, procedures and standards for data management and processing.
  • Leads analysis, model and design the application data structure, storage, integration, deployment and support.
  • Fluent in both normalized and dimensional model disciplines and techniques and in creating data logical and physical data models.
  • Designs and documents conceptual/logical models and implementing physical models
  • Proficient in using data modeling tools, such as Power Designer or Erwin.
Qualifications
  • Bachelor’s Degree in Computer Science, Information Technology or equivalent (STEM) with minimum 5 years of experience as data engineer.
  • A minimum of 2 years of experience using scripting (Python, Perl, Shell, etc) is required
  • A minimum of 5 years of experience working on databases like Postgre

    SQL, Oracle, SQL Server. SQL is required
  • A Minimum of 5 years of experience designing data model solutions for various OLTP and OLAP databases.
  • Must be legally authorized to work in the United States full-time
  • Must be willing to work in our XXXXX facility full-time
  • Must submit application for employment through  (or COS if internal) to be considered
  • Must be 18 years of age or older
  • Must be willing to take a drug test as part of the selection process
  • Must be willing to submit to a background investigation, including verification of past employment, criminal history, and educational background
Desired qualifications
  • Experience with the GE Software Center of Excellence Predix platform.
  • Experience working in an Agile software development environment
  • Demonstrated ability to work effectively across functions in a matrix environment.
  • Strong interpersonal skills, including the ability to diplomatically advocate for the appropriate support staffing levels.
  • Ideal candidate will also have experience presenting effectively to non-technical and executive audiences.
  • Strong analytical skillsproblem solving, clear communication, and data-driven decision making; anticipates obstacles and develops plans to resolve.
  • Resourceful and quick learner; able to learn and apply new areas of expertise as needed.
  • Highly self-motivated, able to work independently
Additional Information

All your information will be kept confidential according to EEO guidelines.

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