Key Facts

Remote From:

Full time

Senior (5-10 years)

English

Hard Skills

Data Engineering AWS Cloud Services SQL (Programming Language) Data Architecture Relational Database Management Systems Code Coverage Software Development Unit Testing ETL (Extract Transform Load) Data Lakes Build Automation Code Analysis Jenkins Data Streaming AWS CLI (Command Line Interface) Snowflake (Data Warehouse) Git (Version Control System) Bitbucket Data Cleansing Data Duplication Management Data Governance Debugging Change Management Coding Theory Automated Testing Framework CI/CD Performance Analysis Oracle CRM Agile Software Development JIRA Data Transformation Family Support Big Data Analytics Amazon S3 DevOps Program Implementation Batch Processing Amazon Relational Database Services Statistics Python (Programming Language) Open Source Development SAS (Software) MATLAB Azure DevOps Machine Learning R (Programming Language) Exploratory Data Analysis Business Analysis Customer Relationship Management Stakeholder Communications Continuous Training

Other Skills

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Communication
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Leadership
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Teamwork
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Consulting
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Creativity
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Problem Solving

Roles & Responsibilities

Bachelor's degree in information technology or related field.
Minimum 5 years of data engineering experience with analytics-focused Data Warehouse environments (e.g., Oracle or Snowflake).
Strong SQL and ETL skills with knowledge of RDBMS; experience with AWS services such as S3, AWS CLI, and RDS is desirable.
Experience with Bitbucket or GitLab, CI/CD, and DevOps practices; ability to work in an Agile delivery environment.

Requirements:

Design, build, and maintain big data workflows/pipelines to process billions of records in large-scale environments, including near-real-time and batch data processing.
Develop, implement, and optimize streaming, data lake, and analytics solutions; lead code reviews and performance benchmarking.
Collaborate with developers and stakeholders to resolve business questions and address enhancement needs; participate in governance and remediation activities.
Apply DevOps practices with tools such as GitLab or Jenkins for CI/CD and build automation; ensure high test coverage and code quality.

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

Position: AWS Data Engineer
Location: Remote
Duration: Contract
Rate: DOE

The Work Itself
Design, build and maintain Big Data workflows/pipelines to process billions of records in large-scale data environments with experience in end-to-end design and build process of Near-Real Time and Batch Data Pipelines.
Develop, implement, and optimize streaming, data lake, and big data analytics solutions.
Leads code review sessions to validate adherence with development standards and benchmark application performance by capacity testing.
Leverages DevOps techniques and Experience with DevOps tools - GitLab, Jira, or Jenkins for Continuous Integration, Continuous Deployment and build automation.
Support reusable framework and data governance processes by partnering with LOBs for any code/requirements remediation.
Collaborates with other developers and provides significant contributions to develop specifications to resolve business client questions, problems, and to address enhancement needs.
Uses technical knowledge, creativity and company practices and priorities to obtain solutions to complex problems.
Experience with software testing frameworks.

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.