R2 Technologies
Big Data Architect - Software Developer / Engineer
R2 Technologies, Alpharetta, Georgia, United States, 30239
Job Description
We hire the best employees to serve our customers. We are looking for an experienced Software Developers and Engineers who has a passion for building software solutions, asking questions to solve customer problems and is comfortable working in a product environment.
Office Location:
Alpharetta, GA Full Time F2F required & 100% Onsite from Day 1 This is a great opportunity to onboard on an emerging team to build software solutions that makes a direct impact to positive claims customer experience. You will be entering a high performance environment that inspires you to develop, guide, mentor and build solutions. The diversity of experience you will gain is dependent on your curiosity, your excitement to peek into the current state and express the future, challenge leadership with idea generation to continually refine the skills.
We Are Looking For Candidates With,
Technical Skills/Experience
Technical leadership in Information and Data Architecture, working with Enterprise Data Architects leveraging the TOGAF architecture methodology with oversight of Domain Modeling, Logical Data Modeling and Physical Data Model implementation.
• Apply modern data management toolsets and coding methods to design, build, implement, and optimize data solutions of all types - including data warehouses, data lakes, ODS, streaming data, analytic and BI/visualizations, etc.
• Translate business issues and needs into Data and System requirements and Architect the management of data assets and their flow through the enterprise
• Architect and Design Data Services (DaaS) for data consumption and manipulation throughout the Data Ecosystem applying the "contract first" design principle and including use of API, Microservices, Microbatch, ELT Pipeline and other methods.
• Transform legacy data structures and processes to modern, capable, and secure solutions in a hybrid cloud setup
• Apply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approaches
• Architect Data Storage solutions for OLTP (CRM, etc.) Systems, Analytics Platforms, Data Lake, Data Warehouse with Relational Database and Object Storage methods tailored for best fit for the needs.
• Architect best-practice data ingestion framework for batch and real-time data flows, develop tooling for increasing scale, accuracy and automation in data pipeline, to integrate with decisioning, AI/NLP and consuming systems
• Architect Data Catalogue and Metadata Management
• Architect and Model for Master Data Management.
• Architect for various Analytics Method including Descriptive, Diagnostic, Predictive, Prescriptive and Capabilities including Realtime Analytics, Advanced Analytics, Machine Learning (ML/AI/NLP)
• Work with Enterprise Architects and Information Security Architects to design highly secure data platform ecosystem by designing controls and protection strategies
• Enable application performance and modernization by creating appropriate data capabilities to match.
• Determine best-in-breed Tools and Technologies, leveraging CNCF-backed Open Source, Managed Solutions and Engineered solutions where applicable.
Requirements
• Should be more having experience working with Architecture of transactional systems in addition to modern data analytics platforms - NoSQL, Event Sourcing, Domain Driven Design, Data Services, Spark and Hadoop-like open source platforms, etc and not traditional Data warehouse with SQL and Oracle.
• 5+ years of experience in data analysis, engineering, architecture and operations roles, including experience with transformational efforts
• Strong Database skills, with RDBMS (E.g., Oracle, SQL) as well as modern relational and unstructured data sources (like NoSQL), including cloud services (AWS/GCP/Azure). Hands on experience using tools is strongly preferred
• Experience with Tools (or similar) such as Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, Oracle, SQL Server, ElasticSearch (ELK), JSON, Parquet, Avro and other Data Storage formats, Tableau, Superset and other Visualization Tools, Apache Atlas, and other Data-centric Apache Packages
• Extensive Knowledge of Design Patterns for Software and Data Engineering.
• Experience Coding with Java, Javascript (Nodejs), Python, GO, Rust and similar.
• Experience in on-prem and hybrid cloud infrastructure, including service and cost optimization
• Experience with production and analytics data, batch and real time / streaming, etc.
• Experience in regulated industries preferred (such as financial services, insurance, healthcare, etc.)
• Familiarity with optimization tools and techniques, including Bayesian modelling and variety of machine learning techniques
• Ability to manage large programs and projects will be essential Attributes
Passionate, intelligent, critical thinker, problem solver, highly persuasive Proactive communicator, documents clearly and succinctly Detail-oriented, thoughtful, respectful - a team player Required experience
Bachelor's degree in STEM (Science, Technology, Engineering) Master's degree in STEM (Science, Technology, Engineering) preferred Experience and Skills That Are Nice to Have
Scrum/Agile methodology working group experience Experience with distributed computing, from design, implementation and supporting in production Experience with Device-as-a-service systems Experience with relational (SQL) and non-relational (NoSQL) database technologies Experience with software engineering best practices, design patterns and anti-patterns Experience in working on end to end CI/CD pipeline What You Can Expect
Next Steps: Competitive candidates may be invited to participate in the interview process. This is where the excitement begins! Applicants are required to be eligible to lawfully work in the U.S. immediately; Preferably U.S Citizens and GC Holders. What's In It for you?
Competitive Benefits, Pay and Bonus Potential, Group Health Insurance, Vision and Dental Insurance. Paid Vacation.
About R2 Technologies
R2 Technologies Corporation (R2) a Georgia Corporation with headquarters in Alpharetta GA, is a technology company in the space of Big Data, Oracle E-business Suite, DevOps & Managed Services, Mobile Application Development, HRMS, productivity platforms, which enables the end clients to deliver business value to their stakeholders. Platform based solutions provides an opportunity for quick turnaround of solutions. Google cloud, AWS and frameworks are part of our key solutions. We have been serving US industry since inception of the business, R2 is one of the fastest growing companies specializing in product development and staffing for leading local, regional and national clients consisting of small, midsize and fortune 1000 companies.
Skills:
Database,TOGAF,SQL
We hire the best employees to serve our customers. We are looking for an experienced Software Developers and Engineers who has a passion for building software solutions, asking questions to solve customer problems and is comfortable working in a product environment.
Office Location:
Alpharetta, GA Full Time F2F required & 100% Onsite from Day 1 This is a great opportunity to onboard on an emerging team to build software solutions that makes a direct impact to positive claims customer experience. You will be entering a high performance environment that inspires you to develop, guide, mentor and build solutions. The diversity of experience you will gain is dependent on your curiosity, your excitement to peek into the current state and express the future, challenge leadership with idea generation to continually refine the skills.
We Are Looking For Candidates With,
Technical Skills/Experience
Technical leadership in Information and Data Architecture, working with Enterprise Data Architects leveraging the TOGAF architecture methodology with oversight of Domain Modeling, Logical Data Modeling and Physical Data Model implementation.
• Apply modern data management toolsets and coding methods to design, build, implement, and optimize data solutions of all types - including data warehouses, data lakes, ODS, streaming data, analytic and BI/visualizations, etc.
• Translate business issues and needs into Data and System requirements and Architect the management of data assets and their flow through the enterprise
• Architect and Design Data Services (DaaS) for data consumption and manipulation throughout the Data Ecosystem applying the "contract first" design principle and including use of API, Microservices, Microbatch, ELT Pipeline and other methods.
• Transform legacy data structures and processes to modern, capable, and secure solutions in a hybrid cloud setup
• Apply Data Engineering & Design best practices to architect solutions, using a deep understanding of various data formats and database design approaches
• Architect Data Storage solutions for OLTP (CRM, etc.) Systems, Analytics Platforms, Data Lake, Data Warehouse with Relational Database and Object Storage methods tailored for best fit for the needs.
• Architect best-practice data ingestion framework for batch and real-time data flows, develop tooling for increasing scale, accuracy and automation in data pipeline, to integrate with decisioning, AI/NLP and consuming systems
• Architect Data Catalogue and Metadata Management
• Architect and Model for Master Data Management.
• Architect for various Analytics Method including Descriptive, Diagnostic, Predictive, Prescriptive and Capabilities including Realtime Analytics, Advanced Analytics, Machine Learning (ML/AI/NLP)
• Work with Enterprise Architects and Information Security Architects to design highly secure data platform ecosystem by designing controls and protection strategies
• Enable application performance and modernization by creating appropriate data capabilities to match.
• Determine best-in-breed Tools and Technologies, leveraging CNCF-backed Open Source, Managed Solutions and Engineered solutions where applicable.
Requirements
• Should be more having experience working with Architecture of transactional systems in addition to modern data analytics platforms - NoSQL, Event Sourcing, Domain Driven Design, Data Services, Spark and Hadoop-like open source platforms, etc and not traditional Data warehouse with SQL and Oracle.
• 5+ years of experience in data analysis, engineering, architecture and operations roles, including experience with transformational efforts
• Strong Database skills, with RDBMS (E.g., Oracle, SQL) as well as modern relational and unstructured data sources (like NoSQL), including cloud services (AWS/GCP/Azure). Hands on experience using tools is strongly preferred
• Experience with Tools (or similar) such as Hadoop Stack, Airflow, Kafka, NiFi, PostgreSQL, Oracle, SQL Server, ElasticSearch (ELK), JSON, Parquet, Avro and other Data Storage formats, Tableau, Superset and other Visualization Tools, Apache Atlas, and other Data-centric Apache Packages
• Extensive Knowledge of Design Patterns for Software and Data Engineering.
• Experience Coding with Java, Javascript (Nodejs), Python, GO, Rust and similar.
• Experience in on-prem and hybrid cloud infrastructure, including service and cost optimization
• Experience with production and analytics data, batch and real time / streaming, etc.
• Experience in regulated industries preferred (such as financial services, insurance, healthcare, etc.)
• Familiarity with optimization tools and techniques, including Bayesian modelling and variety of machine learning techniques
• Ability to manage large programs and projects will be essential Attributes
Passionate, intelligent, critical thinker, problem solver, highly persuasive Proactive communicator, documents clearly and succinctly Detail-oriented, thoughtful, respectful - a team player Required experience
Bachelor's degree in STEM (Science, Technology, Engineering) Master's degree in STEM (Science, Technology, Engineering) preferred Experience and Skills That Are Nice to Have
Scrum/Agile methodology working group experience Experience with distributed computing, from design, implementation and supporting in production Experience with Device-as-a-service systems Experience with relational (SQL) and non-relational (NoSQL) database technologies Experience with software engineering best practices, design patterns and anti-patterns Experience in working on end to end CI/CD pipeline What You Can Expect
Next Steps: Competitive candidates may be invited to participate in the interview process. This is where the excitement begins! Applicants are required to be eligible to lawfully work in the U.S. immediately; Preferably U.S Citizens and GC Holders. What's In It for you?
Competitive Benefits, Pay and Bonus Potential, Group Health Insurance, Vision and Dental Insurance. Paid Vacation.
About R2 Technologies
R2 Technologies Corporation (R2) a Georgia Corporation with headquarters in Alpharetta GA, is a technology company in the space of Big Data, Oracle E-business Suite, DevOps & Managed Services, Mobile Application Development, HRMS, productivity platforms, which enables the end clients to deliver business value to their stakeholders. Platform based solutions provides an opportunity for quick turnaround of solutions. Google cloud, AWS and frameworks are part of our key solutions. We have been serving US industry since inception of the business, R2 is one of the fastest growing companies specializing in product development and staffing for leading local, regional and national clients consisting of small, midsize and fortune 1000 companies.
Skills:
Database,TOGAF,SQL