POST :
Lead Data Scientist
LOCATION :
Hybrid Role in Trenton, NJ
DURATION :
Long Term
There are Two types of Machine Learning talent. One specializes in data science with some programming (especially Python), and the other specializes in technology (Python) and has some data science knowledge. They are looking for the later.
Requirement is for an individual with analytical & programming background, with applied Data Science experience, curiosity, and passion towards Big Data technology, to serve as a Lead Data Scientist for our Information Technology Unit. Judiciary is working in the areas of NLP (Natural Language Processing), Text Mining, and Deep Learning, to solve business problems and build predictive analytics products.
- Develop and apply quantitative and qualitative analytic methods to identify, collect, process and analyze large data sets for specified purposes.
- Develop predictive models that are scalable, repeatable, effective, and meet the expectations of the decision-makers and stakeholders.
- Serve as a cross-product expert, providing technical guidance in Machine Learning, Natural Language Processing, Data Mining and Information Retrieval experiments and projects.
- Analyze use cases, understand user behaviors, identify repetitive and/or error prone manual human processes that can be augmented or automated.
- Develop polished, high-impact persuasive reports and presentations that enable strategic decision-making supporting the project’s mission.
- Doctorate or Master’s Degree in Information Technology, Computer Science, quantitatively focused social sciences, or other quantitative fields.
- 5+ years of experience working with large and varying data sets, applying qualitative and quantitative analysis to interpret the data.
- 3+ year hands-on software engineering and Data Science experience working from data prep, modeling and feature engineering all the way through to deployment.
- Develop algorithms and predictive models to derive insights and business value from data.
- Test and validate algorithms and models using Machine Learning, Deep Learning and other modern techniques/methodologies.
- Demonstrable proficiency in coding Python, R, Java, Scala, C++, programming concepts, IDEs and big data frameworks (Spark, Hadoop).
- Strong knowledge and experience with several Data Science and ML/DL libraries or tools such as H2O, Spark MLlib, ML pipelines, Scikit-learn, H2O, Keras, Tensorflow etc.
- Hands on experience with Data Science notebooks such as Anaconda, Jupyter, and Zeppelin.
- Strong understanding of machine learning methods such as classification, feature selection, clustering, neural networks, etc.
- Experience and proficiency in utilizing statistical/analytic packages such as SAS, R, SPSS, S-Plus, Matlab to develop statistical models.
- Understanding of and experience with building canned and ad-hoc reports based on user requirements.
POST :
Lead Data Scientist
LOCATION :
Hybrid Role in Trenton, NJ
DURATION :
Long Term
There are Two types of Machine Learning talent. One specializes in data science with some programming (especially Python), and the other specializes in technology (Python) and has some data science knowledge. They are looking for the later.
Requirement is for an individual with analytical & programming background, with applied Data Science experience, curiosity, and passion towards Big Data technology, to serve as a Lead Data Scientist for our Information Technology Unit. Judiciary is working in the areas of NLP (Natural Language Processing), Text Mining, and Deep Learning, to solve business problems and build predictive analytics products.
- Develop and apply quantitative and qualitative analytic methods to identify, collect, process and analyze large data sets for specified purposes.
- Develop predictive models that are scalable, repeatable, effective, and meet the expectations of the decision-makers and stakeholders.
- Serve as a cross-product expert, providing technical guidance in Machine Learning, Natural Language Processing, Data Mining and Information Retrieval experiments and projects.
- Analyze use cases, understand user behaviors, identify repetitive and/or error prone manual human processes that can be augmented or automated.
- Develop polished, high-impact persuasive reports and presentations that enable strategic decision-making supporting the project’s mission.
- Doctorate or Master’s Degree in Information Technology, Computer Science, quantitatively focused social sciences, or other quantitative fields.
- 5+ years of experience working with large and varying data sets, applying qualitative and quantitative analysis to interpret the data.
- 3+ year hands-on software engineering and Data Science experience working from data prep, modeling and feature engineering all the way through to deployment.
- Develop algorithms and predictive models to derive insights and business value from data.
- Test and validate algorithms and models using Machine Learning, Deep Learning and other modern techniques/methodologies.
- Demonstrable proficiency in coding Python, R, Java, Scala, C++, programming concepts, IDEs and big data frameworks (Spark, Hadoop).
- Strong knowledge and experience with several Data Science and ML/DL libraries or tools such as H2O, Spark MLlib, ML pipelines, Scikit-learn, H2O, Keras, Tensorflow etc.
- Hands on experience with Data Science notebooks such as Anaconda, Jupyter, and Zeppelin.
- Strong understanding of machine learning methods such as classification, feature selection, clustering, neural networks, etc.
- Experience and proficiency in utilizing statistical/analytic packages such as SAS, R, SPSS, S-Plus, Matlab to develop statistical models.
- Understanding of and experience with building canned and ad-hoc reports based on user requirements.
How To Apply?
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Frequently Asked Questions
When the Announcements?
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Where to Interview?
POST :
HYBRID Senior Java Developer
LOCATION :
Alpharetta, GA
DURATION :
Long Term
Position Summary: Java, Springboot, Kafka, Microservices, Restful API, Javascript, Hibernate, OOP (Object Oriented Programming), Typescript
Requires programming skills, involved in the development of software applications.
Knowledge of programming languages to develop necessary specifications for the software by following the technical designs. In specific cases, knowledge of Agile/iterative development methodologies will be required (and called out).
Min Education – Bachelor’s degree in technology, master preferred
Java 8+ Required
Microservice Design/REST API Required
Spring Boot Required
How To Apply?
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Frequently Asked Questions
When the Announcements?
Can I Apply After Rejection?
Where to Interview?
POST :
Hybrid Azure Senior Developer
LOCATION :
Dallas, TX
DURATION :
Long Term
- 6+ years’ experience developing web and Windows desktop applications.
- 4+ years’ experience in Azure native and ADF
- SQL and/or NoSQL data stores; code review and acceptance processes to improve code quality; § Continuous Integration/Continuous Delivery techniques;
- TFS, AzureDevOps, Visual Studio 2017 or 2019, and Git repository; § Containerization technology (e.g., Docker and Kubernetes container orchestration); and, §
- Cloud architectures and services (AWS, Google, Azure).
We are looking for a Cloud Data Engineer, who will be responsible to plan, design, develop and maintain the data architecture, data models, data pipelines and standards for various Data Integration & Data Lake and Data Warehouse projects in the AWS Cloud. Ensure new features and subject areas are modelled to integrate with existing structures and provide a consistent view. Develop and maintain documentation of the data architecture, data flow and data models of the data warehouse appropriate for various audiences. Provide direction on adoption of Cloud technologies (Redshift, Postgres, Snowflake,) and industry best practices in the field of data lakes and data warehouse architecture and modelling. Providing technical leadership to large enterprise scale projects.
This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project.
Responsibilities: –
➢ Demonstrated ability to have successfully completed multiple, complex technical data engineering projects and create high-level design and architecture of the solution.
➢ Able to present the solution architecture strategy and define value proposition to key stake holders.
➢ Able to communicate the capabilities and improvements offered by solution architecture with both the development teams and business user teams.
➢ Develop POC’s and conduct show and tell sessions.
➢ Design, build & deploy the data pipelines using EMR, EMR studio, Databricks, Spark, Pyspark and Shell Scripting.
➢ Design the Data replication systems and integration systems by evaluating various products and deciding on the better technology that meets the corporate objectives.
➢ Perform Data Analysis, Data Modeling, Data Management, and Data lineage.
➢ Design data security framework considering both internal and external sharing aspects.
➢ Design Data pipes and automate data ingestion and cleansing, transformation activities using the DevOps methodologies.
Required Skills:-
➢ Must have total 7+ yrs. of experience in IT and working as a Data Engineer
➢ Must have 5+ years of experience in EMR, Databricks, Spark, pyspark programming, Jupyter notebook and shell scripting
➢ 3+ years in Data warehouse, ETL Projects.
➢ Must have experience End to End implementation of cloud data warehouse (Redshift, Postgres, or Snowflake).
➢ Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python.
➢ Experience in Data Migration from RDBMS to Redshift/Snowflake cloud data warehouse.
➢ Expertise in data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL/ELT concepts.
➢ Expertise in advanced concepts like setting up resource monitors, Role-based access controls (RBAC), virtual warehouse sizing, query performance tuning, zero copy clone, time travel and understand how to use these features.
➢ Expertise in deploying features such as data sharing, events, and lake-house patterns.
➢ Deep understanding of relational as well as NoSQL data stores, Methods, and approaches (Star and Snowflake, Dimensional Modelling).
➢ Experience with data security and data access controls and design.
➢ Experience with AWS or Azure data storage and management technologies such as S3 and ADLS.
➢ Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
➢ Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot.
➢ Provide resolution to an extensive range of complicated data pipeline related problems, proactively and as issues surface.
➢ Must have expertise in AWS and Azure Platform as a Service (PAAS).
➢ Should be able to troubleshoot problems across infrastructure, platform, and application domains.
➢ Must have experience of Agile development methodologies.
➢ Strong written communication skills. Is effective and persuasive in both written and oral communication.
How To Apply?
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Frequently Asked Questions
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POST :
OCFO Program Manager
LOCATION :
Washington, DC / Hybrid / Remote
VISA :
Must be USC
INTERVIEW :
webcam / in-person
- 16+ years of experience. Organizes, directs, and manages contract operation support functions, involving multiple, complex, and inter- related project tasks.
The District of Columbia Office of the Chief Financial Officer/Office of the Chief Information Officer is seeking to acquire a Program Manager and Technical Architect to support the modernization efforts of the Financial and Reporting systems within the District. This position would be responsible for managing OCFO’s IT Programs and Projects. In addition, this resource will act as a technical architect for Financial and Datawarehouse projects. This is position shall be utilized to support the overall modernization efforts of the OCFO’s reporting environments and upgrade of the OCFO’s financial systems.
Manage Technical Programs and Projects as assigned
Lead the technology direction and standards for data platforms, involving all aspects of information access and retrieval, integration, middleware translators, utilities, tools, and languages for use by the OCFO Data systems group. Research and provide enterprise wide data architecture and standard platforms, products and tools to various projects and initiatives as directed by the OCFO.
Architect data structures such as data marts, data warehouses, and data lakes to support exploratory data analysis, statistical analysis, predictive analytics, and machine learning models
Defines and achieves the strategy roadmap for the enterprise; including data modeling, implementation and data management for our enterprise data warehouse and advanced data analytic systems
Manage and plan the effort to migrate OCFOs Custom Applications/Systems to Cloud and Hosting providers such as AWS, Oracle, Microsoft and Google etc.
Review and provide feedback on Architecture and Technical Strategy documents, functional/technical specifications
Prepare white papers/options papers and recommend solution
Evaluate current systems and review objectives with stakeholders
Define database structure, capabilities, backup, recovery and security specifications
Provide support by responding to user questions, resolving problems, and coding utilities
Maintains database performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; completing maintenance; answering user questions.
•Experience managing technical programs and projects implementing Oracle eBusiness, and Business Analytics solution
• Experience designing and providing reference architecture for enterprise systems
• Hands-on experience in designing and building Real Time, Near Read Time and Batch integration between systems including developing ETL interfaces, integration layers, and custom Data Models
•Hands-on experience working on various Business Intelligence technologies like IBM Cognos, Oracle OBIEE, and Tableau
• Extensive hands-on experience as a Solution Architect, designing, developing and testimh conversion, interfaces, extensions, customizations and Reports {RICEWs) to implement Oracle eBusiness Suite
How To Apply?
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Frequently Asked Questions
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POST :
Oracle Prod-Funct Spec Level 2 Project
LOCATION :
Washington, DC / Hybrid / Remote
VISA :
Must be USC
INTERVIEW :
webcam / in-person
The business system analyst is responsible for solving business problems, business architecture, process optimization, business rules, business cases, business requirements, organizational change (communications), and UAT.
7+ years of experience. Formulates and defines systems scope and objectives based on user needs and a thorough understanding of business systems and industry requirements.
• The role of Business System Analysis – Oracle Cloud ERP is to understand and document current business procedures and identify areas for improvement.
This person will provide hands-on business process requirements analysis in support of Oracle Cloud ERP and related applications.
• In collaboration with internal departments and external resources, plans, designs and implements financial systems solutions. A thorough understanding of the current state of the organization is necessary before recommending changes related to implementing a new business solution.
• Under general supervision, formulate and define system scope and objectives through research.
• The business systems analyst is responsible for the knowledge transfer of business requirements to the application developers.
• The business analyst shall be able to make cogent arguments recommending a course of action
• The Business analyst needs to scour through enormous amounts of information in the business area they support to find the salient points. • New business patterns happen all the time and detecting them can provide a significant advantage. The business analyst shall be able to identify and address the change in the business process
• The business analyst shall understand the variety of standard ideas and methods for requirements gathering and translate what the business wants into IT requirements and functional design specifications
• The business analyst shall be able to create trust between Business and IT teams.
• The business analyst shall assist in identifying and implementing various software solutions
• The business analyst shall provide application support for business users
• The business analyst shall have the ability to write conversion, interface, reports and extension functional design specification
• The business analyst shall have experience supporting data cleanup, data conversion and reconciliation activities
• The business analyst shall have experience supporting month-end and year-end activities, including reconciliation • The business analyst shall be able to review design specifications developed by other analysts and provide feedback on design documents.
• The business analyst shall be able to write white papers and solution recommendations as needed
• The business analyst shall be able to support testing and conduct training
• The business analyst should have experience configuring Oracle Project Costing and Grants (Highly Desirable) modules
• Formulates and defines systems scope and objectives based on user needs and a thorough understanding of business systems and industry requirements.
• Devises or modifies procedures to solve complex problems considering computer equipment capacity and limitations, operation time, and form of desired results
• Includes analysis of business and user needs, documentation of requirements, and translation into proper system requirements specifications. Qualifications:
• 7+ years of Business Analyst experience (Required)
• 7+ Years of Software Development Lifecycle experience (Required)• 7+ years of requirements gathering and documentation experience (Required)
• 7+ years of MS
Visio/Word/Excel/PowerPoint experience (Required)
• 7+ years of Oracle Financials EBS/Cloud Suite experience
• 7+ years of experience working as an Oracle Functional Subject Matter Expert/SME (Required)
• 3+ years of experience providing production support for Oracle EBS/Cloud Application is highly desirable
• 3+ Years of Oracle ERP Cloud Project modules (Required)
• Experience with the Oracle Cloud Grants module is highly desirable
• Expertise within the Oracle Cloud ERP suite. Specific expertise is required within the following modules: Oracle Project (Required) and Grants (Highly desirable)
• Experience with Public Sector implementations is highly desirable Education:
• Bachelor’s Degree in Information Technology, Finance, Business, Accounting or related field, or
• The equivalent combination of education and successful work experience (10 years) and• CPA Certification is Preferred
How To Apply?
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Frequently Asked Questions
When the Announcements?
Can I Apply After Rejection?
Where to Interview?
POST :
Senior Software Engineer
LOCATION :
Any Client Location (Hybrid)
DURATION :
Long Term
*** Hybrid Role: Can work from any major VZ hub two days a week.
Preferred; San Jose, CA, Richardson, TX, Irving, TX, Basking Ridge, NJ, Bedminster, NJ, and Branchburg, NJ ***
JOB DESCRIPTION:
The SDN Planning group under Verizon Network Technology and Planning organization is looking for a self-motivated and innovative thinking senior software engineering consultant in support of Verizon SDN architecture and technology development and deployment. As software consultant, you will be interacting with software engineers, network/system operations staff, network/system architects to keep our service relevance in the market place in the fast moving and quickly evolving networking industry. Proactive technology research, software development, problem solving mindset, developing next generation network architecture using modern networking technology (e.g., Software Defined Networking) and providing production deployable solutions are key functions of the team.
10+ years of hands on software development experience including design, development, debugging and support, building scalable software systems and software infrastructure.
• Experience with programming languages (Java, Python, Go) and software debugging tools ( jdb, jmx)
• In-depth understanding of scale out infrastructure, distributed systems and web services technologies.
• Experienced in designing and applying data structures, algorithms, and object-oriented concepts to solve challenging problems
• Experience working with ODL, REST, RESTCONF and RPC services and other client/server models
• Building and delivering mission critical, 24×7 production quality software systems
• Transforming the monolithic software systems into micro service-oriented software systems
• Experience in Linux environments with Linux automation scripting and/ or software development (Ansible, Python, Bash)
• Experience with Linux networking & virtualization environments/technologies (KVM, containers) and container scheduling/management platforms (Docker, Kubernetes)
• Open Source tools development, implementation, and/or collaboration experience
• Strong problem-solving skills, ability to analyze and implement enhancements to existing applications/code
• Strong written & verbal communication skills
DESIRED SKILLS:
• Experience using source code tracking and version control systems (Stash/GIT/GitLab)
• Experience in an agile development environment as part of a team of engineers, developers and testers
• Experienced in integrating and developing messaging infrastructures (kafka, thrift, proto-buf)
• Experience with open source logging and reporting solutions (Logstash, Elasticsearch, Kibana, Grafana, Splunk)
• Database development experience (MongoDB, Redis, Cassandra, SQL/NoSQL)
• Open API (REST/RESTCONF/NETCONF) and data modeling (YANG) verification and development
• New technology validation, prototyping and integration experience
• Multi-vendor system integration experience
• Developing applications using microservice architecture
• High Availability and distributed software architecture development & design
• ODL (Open-Day-Light) controller internals and experience in developing ODL applications
• Understanding of SDN architecture and technology (control plane, data plane, management plane, orchestration, etc.)
BS/MS degree in Computer Science/Computer Engineering or equivalent engineering discipline/experience