Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

Data Warehouse Architectures AWS Cloud Services SQL (Programming Language) ETL (Extract Transform Load) Oracle CRM Data Engineering Data Cleansing Data Duplication Management Code Analysis Data Transformation Relational Database Management Systems Change Management Analytics Code Coverage Data Architecture Snowflake (Data Warehouse) Disciplined Agile Delivery Git (Version Control System) Software Development Unit Testing Bitbucket Linear Regression Cloud Computing Hybrid Cloud Computing Python (Programming Language) Open Source Development Cluster Analysis SAS (Software) Decision Tree Learning Technology Integration AWS CLI (Command Line Interface) Probability And Statistics MATLAB Amazon S3 Machine Learning R (Programming Language) Exploratory Data Analysis Educational Research Stakeholder Communications Solution Architecture Continuous Training Customer Success Management Solution Architecture Business Concepts

Other Skills

•
Teamwork
•
Problem Solving

Roles & Responsibilities

Bachelor's degree in information technology or related experience
Minimum 5 years' experience in data engineering involving analytics-focused datawarehouse environments like Oracle or Snowflake
Experience in AWS utilizing services such as S3, AWS CLI, and RDS
Knowledge of RDBMS, SQL and ETL skills

Requirements:

Design, build, and maintain data pipelines for cloud and hybrid cloud environments, including data transformations, cleansing, and deduplication
Perform unit tests and code reviews to ensure high code quality and coverage
Collaborate in an Agile delivery environment with business and IT stakeholders to identify problems and deliver data solutions
Research and evaluate open-source technologies to integrate into data architecture and drive end-to-end solutions

Georgia IT, Inc.

About Georgia IT, Inc.

Georgia IT, Inc. provides IT Consulting for a wide range of IT services and custom build turn-key enterprise solutions. GIT specializes in improving business scalability and efficiency through BSM and SBA Solutions. GIT transforms business with service management and service automation solutions. We are BMC & HP partners. GIT Services include custom built enterprise software and customer-centric web portals, network design and implementation, remote and site-to-site VPN, network and server security assessment and setup, server and desktop virtualization, and many others. GIT also provides IT Consulting in many areas such as Disaster Recovery Planning, Enterprise Data Backup Strategy, Long Term Strategic IT Planning and Augmentation Professional Services Solutions. Professional Services Specialties: Business Process Integration, Software Integration & Development, Web portal, Networking, Remote and site-to-site VPN, Virtualization Solutions, Product Development Please contact us Hrus@georgiait.com / uthay@georgiait.com/470-798-5000 x 1010 / (732) 890-2535 direct

Founded: 2018

Company size: 51 - 200

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Job description

Job Title : AWS Data Engineer
Location : Remote
Position Type : Contract
US Citizen, Green Card, TN, GC EAD, and H4 EAD only No Third-party agencies corp to corp.
The Skills You Bring

Bachelor's degree in information technology or related experience.
Knowledge of all phases of software development including design, coding, testing, debugging, implementation, and support.
Minimum 5 years' experience in field of data engineering involving analytics focused Datawarehouse environments like Oracle or Snowflake.
Experience in AWS utilizing services such as S3, AWS CLI, and RDS is desired.
Knowledge of RDBMS, SQL and ETL skills are must.
Ability to thoroughly understand the business issues surrounding each project.
Knowledge of standard change management tools and processes.
Ability to work in a team environment.
Experience with Bitbucket or Gitlab including deployment pipelines
Understanding of data transformations, cleansing, and deduplications.
Experience developing pipelines for both Cloud and Hybrid Cloud infrastructures is desired.
Intermediate knowledge of statistics, and skills with exploratory data analysis using Python or R is highly desirable.
Experience with machine learning techniques (e.g., regression, decision trees, cluster analysis) using SAS or other statistical programming packages such as R, Python, Matlab is highly desirable.
Experience working in an Agile delivery environment.
Ability to work independently and drive solutions end to end leveraging various technologies to solve data problems and develop solutions.
Perform unit tests and conduct reviews with other team members to ensure code is designed with high code coverage
Passionate for continuous learning, experimenting, applying, and contributing towards cutting edge open-source technologies and software paradigms.
Ability to research and assess open-source technologies and components to recommend and integrate into the design and implementation.
Proven track record of customer satisfaction and delivery success and ability to establish and maintain appropriate relationships with business and IT stakeholders.
Ability to work in an advisory capacity to identify key technical business problems, develop and evaluate alternative solutions and make recommendations.