Data Engineer I

Shoptikal


Job Location:

Green Bay, WI - USA

Monthly Salary: Not Disclosed
Posted on: 5 days ago
Vacancies: 1 Vacancy

Job Summary

Onsite- Green Bay WI.

POSITION SUMMARY:

Responsible for the development and maintenance of data pipeline infrastructures ensuring the seamless flow of data for various needs within the organization. Work alongside data professionals contributing to the design and implementation of data architectures that meet the evolving needs of the business. Support the transformation of raw data into usable information for analysts and other internal stakeholders.


DUTIES AND RESPONSIBILITIES:

DATA PIPELINE DEVELOPMENT

Assist in building and maintaining data pipelines from internal databases and SaaS applications

Support the development of ETL (Extract Transform Load) processes

Assist in implementing data validation and quality checks to ensure accuracy and consistency

Write clean documented and maintainable code following established standards


DATA INFRASTRUCTURE SUPPORT

Assist in maintaining databases data warehouses and data lake components

Support the configuration and monitoring of data infrastructure

Assist in troubleshooting basic data processing issues and escalate complex problems

Participate in code reviews and incorporate feedback from senior engineers


DATA INTEGRATION

Assist with integrations from various data sources into the data ecosystem

Assist in maintaining connections with internal and external APIs

Support data ingestion processes for structured and unstructured data

Document integration processes and data flow for transparency and standardization


COLLABORATION & DOCUMENTATION

Create and maintain systems and process documentation

Collaborate with various engineers and analysts to support their work

Participate in team meetings and contribute to planning discussions

Actively seek out learning opportunities and keep up with advancements in data engineering practices


MINIMUM KNOWLEDGE EXPERIENCE & SKILLS REQUIREMENTS:

Bachelors degree in computer science data engineering information systems or related field or equivalent experience

1 - 2 years of experience in data engineering software development or related roles

Experience using Python Java or Scala for data processing (Python preferred)

Familiar with data-related Python packages (pandas NumPy)

Basic understanding of SQL and relational databases

Basic knowledge of version control systems (Git)

Understanding of data modeling fundamentals preferred

Knowledge of Linux/UNIX operating systems preferred

Exposure to cloud platforms (AWS Azureor Google Cloud Platform)

Able to take direction prioritize work and manage multiple activities simultaneously

Excellent communication skills

Able to work independently and as part of a team

Willing to share knowledge and experience with other members of the team

Strong analytical and problem-solving skills

Attention to detail and commitment to data quality

Solid planning and organizational skills

Proficiency with Microsoft Office Suite of programs


ESSENTIAL FUNCTIONS & WORK REQUIREMENTS:

Ability to effectively communicate at all levels within the organization through written and two-way verbal communication

Able to read and write at a high school graduate level

Able to sit or stand for extended periods of time

Able to operate various office equipment (e.g. personal computer telephone fax machine copier etc.)

Able to lift 10 to 20 pounds

Able to work overtime and regular and/or extended (evenings nights and weekends) office hours to meet established deadlines

Able to travel independently to support Company objectives and personal development


These statements are intended to describe the general nature and level of work performed by teammates assigned to this job classification. They are not intended to be an exhaustive list of all responsibilities duties and skills required.


Required Experience:

IC

Onsite- Green Bay WI. POSITION SUMMARY:Responsible for the development and maintenance of data pipeline infrastructures ensuring the seamless flow of data for various needs within the organization. Work alongside data professionals contributing to the design and implementation of data architectures ...

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