Data Engineer

  • Atlanta, GA
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
Depends on Experience
Full Time
No Travel Required

Skills

Data Modeling
ERwin
PL/SQL
SQL
Modeling
Machine Learning (ML)
Python
Orchestration
Solution Architecture
Data Architecture
Data Engineer
ER Diagrams
Data Catalog
Data Governance
Model Creation

Job Details

Job Title: Data Engineer II
Role Type: Long Term Contract
Location: Atlanta, GA

Job Description:
The Data Engineer will collaborate with business and technology stakeholders to understand requirements, define data models, and implement Gas data assets. They will manage data governance and maintain a data catalog. The role includes supporting machine learning model creation, training, operation, and automation. Additionally, they will enforce data standards and collaborate with various teams to deploy optimized data solutions, plan capacity, and ensure secure data storage and usage.

Education, Certifications/Licenses:
Bachelor's degree in related discipline (e.g., Computer Science, Information Management or equivalent) or equivalent related work experience.
Preferred:
Master's degree in related discipline (e.g., Computer Science, Information Management or equivalent) or equivalent related work experience.
Related Work Experience:
Required:
3 - 5 years data-oriented solution architecture development experience utilizing Both On-Premises and Cloud (Azure) modern data architecture platforms and patterns. 3- 5 years of experience developing context diagrams as well as conceptual, logical, physical architecture, data model and ER diagrams as well as data orchestration diagrams. 2- 4 years hands-on experience designing and implementing data models for structured and unstructured datasets utilizing tools such as ERWIN, SQL Developer, Python, SSMS, Visual Studio and Visio. Ability to deliver results in a cross functional team environment.
Preferred:
Expert knowledge and hands-on experience working with SQL. Hands on experience working with relational databases such as Oracle, SQL Server as well as Azure Data Lake, Synapse Data Warehouse. Experience in Data Governance processes and tools such as Informatica Data Catalog.
Specific Skills & Knowledge:
Advanced proficiency in MS Office Tools. Experience in Data Quality processes and tools such as DQS. Hands-on experience developing big data technologies such as Distributed file Systems, HIVE and Spark. Ability to provide guidance on app/data performance, high availability and disaster recovery. Experience with designing re-usable solution components and perform data model integrity checks. Experience working in a medium to large enterprise setting and collaborating multiple cross-functional teams. Experience working on concurrent engineer assignments on multiple projects. Significant knowledge of business requirements and solutions design methodologies, tools, and approaches. Significant knowledge of graphical modeling approaches, tools, and repositories. Significant knowledge of Logical and Physical Data Modelling approaches, tools, and methodologies, and supporting software platforms.

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