| URGENT - W2 Roles for Independent Consultants at Remote, Remote, USA |
| Email: [email protected] |
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http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2200308&uid= Hi All, Hope you are doing good. Currently we are looking for independent consultants for the Multiple Roles, 12 in total, given below. I have also attached the JD. Interested party can mail me at [email protected]. We are only looking for experienced and well qualified candidates with independent visa. 1. Python Developer (Only Citizens) Remote (Jr level - 6 yrs ) (Mid level - 8+yrs) Bachelor's Degree in Computer Science or related field. Hands-on programming experience in Python. Hands-on experience with self-testing code (unit tests) and building systems. Emerging ability to lead and influence a team's technical direction Hands-on experience with database and cloud technologies Emerging ability to design resilient software components within a distributed system. Our core stack is Python, migrating from system software in C, and legacy PHP in some places; as part of our move to the cloud, we re running Kubernetes, and AWS technologies like EKS/Lambda/RDS/Aurora/Dynamo 2. Mid Level Data Engineer, 7+ yrs experience Senior Data Engineer, 9+ yrs experience Principal Data Engineer, 11+ yrs Location : Fort Mill or Austin (Hybrid) We are looking for a skilled Data Engineer to join our team and help build robust, scalable, and efficient data pipelines. The ideal candidate will have strong expertise in AWS, Python, Spark, ETL Pipelines, SQL, and Pytest. This role involves designing, implementing, and optimizing data pipelines to support analytics, business intelligence, and machine learning initiatives. Key Responsibilities: Design, develop, and maintain ETL pipelines using AWS services, Python, and Spark. Optimize data ingestion, transformation, and storage processes for high-performance data processing. Work with structured and unstructured data, ensuring data integrity, quality, and governance. Develop SQL queries to extract and manipulate data efficiently from relational databases. Implement data validation and testing frameworks using Pytest to ensure data accuracy and reliability. Collaborate with data scientists, analysts, and software engineers to build scalable data solutions. Monitor and troubleshoot data pipelines to ensure smooth operation and minimal downtime. Stay up-to-date with industry trends, tools, and best practices for data engineering and cloud technologies. Required Skills & Qualifications: Experience in Data Engineering or a related field. Strong proficiency in AWS (S3, Glue, Lambda, EMR, Redshift, etc.) for cloud-based data processing. Hands-on experience with Python for data processing and automation. Expertise in Apache Spark for distributed data processing. Solid understanding of ETL pipeline design and data warehousing concepts. Proficiency in SQL for querying and managing relational databases. Experience writing unit and integration tests using Pytest. Familiarity with CI/CD pipelines and version control systems (e.g., Git). Strong problem-solving skills and ability to work in a fast-paced environment. Preferred Qualifications: Experience with Terraform, Docker, or Kubernetes. Knowledge of big data tools such as Apache Kafka or Airflow. Exposure to data governance and security best practices. 3. Role: Sales Product Manager (PRM and Salesforce) Location: Mountain View, CA (Hybrid) Required Skills: 8+ years designing and delivering world-class enterprise partner platforms or software products as a Product Manager Hands-on experience with PRM (partner relationship management) tools and core functionalities including partner onboarding, enablement/training, engagement/adoption, incentive compensation, and analytics. Extensive experience administering and configuring Salesforce, including Sales Cloud, Service Cloud, and custom objects would be a strategic asset Proven expertise in managing Salesforce integrations with various third-party tools using APIs and integration platforms. Experience successfully implementing and managing technology delivery by working cross-functionally with partner, sales, enablement, ops, finance, customer service, and technology teams, demonstrating both influence and stakeholder management. Strong understanding of data structures, data migration, and data management. A strong leader, skilled at storytelling and communication with a proven ability to credibly drive conversations with senior leaders. Excels in driving cross-functional teams and leading initiatives across an organization involving multiple product teams. Experience with Agile development and methodologies. A strong sense of urgency to help customers through the ability to identify insights and deliver a quality, innovative experience quickly. Experience with Salesforce development (Apex, Visualforce, Lightning) is a plus. Responsibilities: This role will include collaborating with users, engineering, and other stakeholders to develop and manage a roadmap and measure impact, adoption, and engagement. Demonstrate thought leadership and drive strategic direction for Sales Technology capabilities. Own the product planning, prioritization, and roadmap activities for your domain. Use data to drive decisions and define the metrics that measure and monitor your goals. Establish mechanisms to gain a deep understanding of a partner's needs, self driving some of your own customer research. Drive and coordinate execution against plan, anticipating risk, and leading discussions via frequent, clear communication, both internally and with dependent technology teams. Work with the Go-to-market teams to execute the strategy, vision, and prioritization of products/features across our Sales technology and support them in meeting their strategic business outcomes. Ensure product requirements and user stories represent customer needs and define work meaningfully, including clear acceptance criteria and considering dependencies on other stories and/or initiatives. Able to engage with and influence Senior Leadership effectively 4. Product & AI/ML Data Analyst Location : Remote Key Responsibilities Conduct product analytics and user behavior analysis to drive data-backed decisions. Develop and maintain dashboards, reports, and data visualizations using Qlik Sense, Tableau, or similar tools. Apply AI/ML models to analyze trends, optimize product performance, and drive automation. Define and track product success metrics, KPIs, and A/B testing experiments. Leverage statistical analysis and predictive modeling to identify patterns and trends. Provide business intelligence insights that impact product growth, customer engagement, and retention. Collaborate with Product Managers, Data Scientists, and Business Leaders to deliver actionable insights. Ensure data integrity, consistency, and governance across reporting and analysis efforts. Stay up to date with emerging AI/ML trends and analytics best practices. Required Skills & Qualifications 7+ years of experience in data analysis, product analytics, and AI/ML-driven insights. Strong SQL skills for querying and analyzing large datasets (Presto SQL, BigQuery, etc.). Proficiency in BI tools such as Qlik Sense, Tableau, Amplitude, or Data Studio. Python experience for statistical modeling and AI/ML-driven analysis. Experience in A/B testing, experimental design, and data instrumentation. Knowledge of predictive modeling, clustering, and classification techniques. Ability to transform complex data into simple, compelling insights for business stakeholders. Experience working with large-scale datasets and structuring unstructured data for analysis. Strong communication skills to present data findings and drive decision-making. Experience in a scripting language to automate and reuse code (optional but encouraged). Preferred Qualifications Prior experience in fintech, e-commerce, SaaS, or AI-driven product analytics. Familiarity with data-driven decision-making in a product-led organization. Strong understanding of user segmentation, customer journey analysis, and engagement metrics. Hands-on experience in prompt engineering to accelerate AI-driven development 5. Sr Java Backend Developer St Louis, MO (Hybrid) Requirement: Strong Java developer with very good understanding of micro services. Grasp of software engineering skills in modular design, data structures, algorithms Deep knowledge and hands on experience with modern applications like spring boot, Angular. Experience building and operating critical production systems Solid understanding of modern API design and Restful principles Fluent with git (preferred) or other SCM system Write well designed and testable code Strong Experience in automation and build tools like Maven, Ant and Gradle. Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience. Experience in software development design and implementation of large scale distributed systems and web services building complex software that is testable and designed for extensibility. Good understanding of building, deploying, and maintaining critical applications in a cloud based environment. Work extensively with open source software capable to modify or extend code maintained as part of an open source project. Employ both Object Orientated development skills and Systems Engineering skills . Skills Required : Java, Spring Boot, Microservices, Rest API, PCF , Oracle PostgreSQL, Jenkins, Kafka 6. SRE Engineer Mountain View, CA [Hybrid - 2 days ] We are seeking a talented and experienced SRE Support Engineer (L2/L3) to join our dynamic team. This role involves providing operational support, troubleshooting, and ensuring the smooth functioning of our systems. The ideal candidate will have strong expertise in Java, Python, DevOps tools, Groovy scripting, AWS Lambda, Key Responsibilities: L2/L3 Support Provide advanced troubleshooting for production systems and applications. Resolve complex technical issues escalated from L1 support teams. Perform root cause analysis and implement permanent fixes. Site Reliability Engineering (SRE) Monitor system performance and proactively address potential issues. Enhance system reliability, availability, and scalability through automation. Design and implement robust incident management processes. Development & Scripting Write and maintain Java and Python scripts to support operations. Develop Groovy scripts for CI/CD pipelines and automation. Build tools and scripts for system performance optimization. Cloud & Infrastructure Design and maintain solutions using AWS Lambda and other AWS services. Troubleshoot cloud-based environments and applications. Optimize cloud infrastructure for cost and performance. Required Skills & Experience: Programming Languages: Strong knowledge of Java Troubleshooting: Proficient in diagnosing and resolving complex system issues. Experience with Splunk Scripting: Hands-on experience with Groovy for automation and CI/CD. DevOps: Familiarity with tools such as Jenkins, Docker, Kubernetes, Git, and Terraform. AWS Expertise: Strong experience with AWS Lambda Soft Skills: Strong problem-solving, communication, and collaboration skills. Preferred Qualifications: Bachelor s or master s degree in computer science, Information Technology, or a related field. Experience in incident management and on-call rotations. Familiarity with Agile and DevOps methodologies. Certifications in AWS, DevOps, or relevant technologies are a plus. 7. Business Systems Analyst Remote Key Responsibilities Contact Center Routing & Solution Design Design, implement, and manage contact center routing solutions using Genesys Cloud CX. Create advanced routing workflows to optimize customer interactions across voice, chat, email, and other channels. Analyze interaction flows and develop routing strategies to align with SLA requirements and business objectives. Troubleshoot and resolve routing issues in real-time, minimizing operational impact. System Integration & Technical Documentation Integrate contact center solutions with CRM platforms (e.g., Salesforce, Microsoft Dynamics) and backend systems via APIs and middleware. Document technical requirements, solution designs, and integration workflows for development, QA, and maintenance. Work with IT teams to manage system configurations, updates, and feature rollouts. Monitoring, Analytics & Optimization Use monitoring tools (e.g., Genesys Infomart, BI) to assess routing performance and identify areas for improvement. Analyze data to uncover trends, troubleshoot anomalies, and recommend optimizations to enhance customer experience. Develop dashboards and reporting frameworks for real-time and historical performance tracking. Stakeholder Collaboration & Agile Delivery Act as a liaison between business stakeholders and technical teams to gather, refine, and prioritize requirements. Lead sprint planning, backlog grooming, and release management activities within an Agile framework. Facilitate regular communication with leadership, providing updates on routing architecture, performance metrics, and enhancement initiatives. Required Technical Skills 5+ years of experience in contact center technologies, specifically Genesys or other enterprise contact center platforms. Proficiency in Genesys Routing strategies, including ORS, URS, and GRE. Experience with API-based integrations, including REST, SOAP, and Web Services. Strong skills in SQL, data analysis tools, and reporting frameworks (e.g., Tableau, Power BI). Familiarity with JIRA, Confluence, and Agile project management tools. Preferred Technical Expertise Advanced knowledge of Genesys Cloud CX. Experience in speech analytics, Workforce Management (WFM), and AI-driven chatbots. Exposure to security frameworks for contact center solutions (e.g., PCI-DSS compliance). Soft Skills Exceptional problem-solving and debugging skills, with the ability to diagnose issues in complex environments. Strong written and verbal communication skills to articulate technical concepts clearly. Team-oriented mindset, with a focus on collaboration and knowledge sharing. 8.BI Business Intelligence Analyst Mountain View, CA [Hybrid] We are seeking a Business Intelligence (BI) Analyst who can build, maintain, and optimize reporting infrastructure and front-end UI dashboards. The ideal candidate will have expertise in QlikSense, Tableau (optional), SQL, and Python/R, and should be comfortable handling large datasets while ensuring data accuracy, accessibility, and visualization effectiveness. Key Responsibilities Develop, maintain, and optimize BI dashboards and reports in QlikSense and Tableau . Design and manage the reporting infrastructure, ensuring high performance and usability. Build and maintain codebases for reporting automation and UI development. Work closely with business and technical teams to transform complex data into actionable insights. Monitor data pipelines, ETL processes, and data integrity to ensure accuracy and reliability. Support KPI tracking and business metrics analysis to enhance decision-making. Develop front-end UI components for data visualization dashboards. Required Skills & Qualifications Experience: 6+ years in BI analysis, data analytics, or a related field. Technical Skills: Proficiency in SQL, Python/R, QlikSense, and Tableau (optional). BI & Reporting Expertise: Strong knowledge of data visualization, dashboard creation, and business reporting. Codebase & Automation: Ability to build and maintain reporting pipelines for automated insights. Data Modeling: Understanding of database structures, ETL, and data warehousing best practices. Problem-Solving: Ability to identify business trends, detect anomalies, and recommend improvements. Excellent Communication: Strong ability to collaborate with cross-functional teams and present data insights effectively. Preferred Qualifications Experience in performance tuning of BI tools and data visualization. Familiarity with data governance and security best practices. Background in front-end UI development for interactive dashboards. 9. Data Science Analyst Mountain View, CA [Hybrid] We are looking for a Data Science Analyst with expertise in mining data for insights, KPI trend analysis, ROI measurement, and data-driven decision-making. This role requires a strong analytical mindset, and the ability to work with structured and unstructured data to drive business impact. Key Responsibilities Analyze and mine large datasets to uncover trends, correlations, and actionable insights. Develop models and statistical techniques to track KPI trends, ROI measurement, and forecasting. Conduct data-driven analysis to optimize business strategies and operational efficiency. Build, maintain, and optimize codebases analytics workflows. Work cross-functionally with business, finance, and product teams to support data-backed decision-making. Ensure data integrity, quality, and governance while handling large datasets. Required Skills & Qualifications Experience: 5+ years in data analytics, data science, or a related field. Technical Skills: Proficiency in SQL, Python/R. Analytics & Modeling: Strong understanding of data mining, statistical modeling, and predictive analytics. Strong Business Acumen: Ability to translate data insights into strategic recommendations. Excellent Communication: Strong storytelling and visualization skills for data presentation. Preferred Qualifications Experience with ETL, data warehousing. Background in A/B testing, regression modeling, and statistical analysis. 10.Business Data Analyst [Qliksense, Tableau} Location : San Diego or Mountain View, CA 8+ years of experience working with data and analytics with knowledge of statistics Highly proficient in SQL, Data Visualization software (Qliksense, Tableau, Amplitude), and Excel Excellent problem-solving and logic skills and end-to-end quantitative thinking Ability to manage multiple projects simultaneously to meet objectives and key deadlines Outstanding communications skills with both technical and non-technical colleagues Strong ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances Strong organization, time management and task prioritization skills Ability to adapt and flex given changing environments and priorities Experience in a scripting language to automate and reuse code. Optional but encouraged: experience in prompt engineering to accelerate development tasks Experience in defining metrics and instrumenting data tracking How you will lead Partner with Product and Operations leaders and other analytics teams to enable data driven decisions and key customer insights in the management and operation of our expert network. Collaborate across product management and engineering to ensure reporting solutions are scalable, repeatable, effective, and meet expectations for a variety of stakeholders. Define, implement, and standardize metrics, reports and dashboards leveraging state of the art business intelligence tools. Provide recommendations utilizing statistical model generation using multiple types of data, business knowledge, programmatic insights, and strategic assumptions when data doesn t exist. Suggest ad-hoc analytic questions, contribute to decision making through opportunity sizing, and facilitate use of self-serve standard reports. Establish data quality standards, troubleshoot data validation, proactively identify issues, and see them to resolution. 11. Principal Solution Architect Location : Austin/Fort Mill/NY City/San Diego. ( has to be local or willing to come to these locations for 3 days a week) Job Overview: The Principal Solution Architect is responsible for the leadership, analysis, and design of the Enterprise Solution Architecture (ESA) supporting our extraordinary company growth projections and digital experiences vision. Responsibilities: Leading Enterprise Solution Architecture Modeling and designs leveraging cross-domain architects and leadership to create the best technical design delivering domain driven, Scalable APIs based solutions that eliminate fate sharing across teams. Blueprint architecture, including multi-year transitions and recommendations to drive transformation and modernization for Clientworks and Enterprise Collaborate with business, product, and technology teams early in the product lifecycle to infuse end-to-end architecture thinking, including functional and non-functional aspects, into the conversation. Craft high-level design early in the lifecycle and elaborate it to lower levels of detail as conversation progress. Collaborating with Lean Portfolio Management to provide a high-level vision of enterprise solutions and development initiatives. Assisting the Agile Program Management Office to identify and design development value streams Participating in the strategy for building and maintaining the modern enabling architectural runway initiatives via Enabler Epics Promoting Continuous Delivery Pipeline and DevSecOps capabilities Facilitating the reuse of code, components, and proven patterns supporting modern architecture Deliver architecture in alignment with our Enterprise Architecture standards and advocate for Enterprise Architecture models and patterns to guide solution decisions. Requirements: 8+ years of hands-on design and implementation experience in IT 5+ years of previous experience as a Solution Architect 3+ years of experience in the following technical disciplines: application development, middleware, database management or operations, security, integration 2+ years of Cloud experience 2 years of experience working with Agile teams Core Competencies: Proficiency in defining current and future state architecture models. In depth knowledge of cloud platforms AWS(Primary) and Azure(Secondary) along with strong understanding of AWS Security best practices and Well Architecture Framework Experience in migrating monolith on-perm applications to cloud using Refactoring, Re-architecting and Re-platforming approach including 12 factor applications Experience in DevOps tools, Automated deployments and containerization Excellent communication skills that translate business problems in technical solutions Consult with customers to solve business problems by adapting current technology and/or capitalizing on emerging technology for competitive advantage to meet the strategic objectives of LPL business. Conduct demonstrations and presentations to executive management of prototypes and proof-of-concepts. Understanding of agile methods (SAFe) and processes, and capability of supporting agile product teams by providing advice and guidance on opportunities, impact and risks, taking account of technical and architectural debt Preferences: AWS Certified Solutions Architect Prior experience in wealth management and brokerage technology Refactoring on-prem legacy applications to modern applications in the cloud Experience with front end user design Experience designing and building API s 12.Principal Data Architect Location : Austin/Fort Mill/NY City/San Diego. ( has to be local or willing to come to these locations for 3 days a week) Job Overview: The Principal Data Architect is responsible for leading, analyzing, and designing the Enterprise Data Architecture (EDA) for the Merger and acquisition (M&A) group, which supports our extraordinary company growth projections and digital experiences vision. Responsibilities: Leading Enterprise Data Architecture Modeling and designs leveraging cross-domain architects and leadership to create the best technical design delivering domain driven, Saleable Services based solutions that eliminate fate sharing across teams supporting M&A Blueprint Data Architecture, including multi-year transitions and recommendations to drive transformation and modernization for M&A and Enterprise Collaborate with business, product, and technology teams early in the M&A and product lifecycle to infuse end-to-end architecture thinking, including functional and non-functional aspects, into the conversation. Craft a high-level design early in the lifecycle and elaborate it to lower levels of detail as the conversation progresses. Collaborating with Lean Portfolio Management to provide a high-level vision of enterprise data solutions and development initiatives. Assisting the Agile Program Management Office (ACDC) in identifying and designing development value streams. Participating in the strategy for building and maintaining the modern enabling data architectural runway initiatives via Enabler Epics Promoting Continuous Delivery Pipeline and DevSecOps capabilities Facilitating the reuse of code, components, and proven patterns supporting data and modern architecture Deliver Data Architecture in alignment with our Enterprise Architecture standards and advocate for Enterprise Architecture models and patterns. Enterprise-level data protection practices include developing, deploying, and auditing products and services through privacy by design, privacy engineering, risk models, frameworks, and more. Formulate and execute the organization s data replication strategy. Cloud migration strategy by engaging in an application rationalization process to identify the most suitable 7R approach for migration. What are we looking for We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused and team-oriented, and can execute in a way that encourages creativity and continuous improvement. Requirements: 10+ years of hands-on design and implementation experience in data architecture landscape Previous experience migrating legacy platforms to modern data platform 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions. 3+ years of experience in the following technical disciplines: application development, middleware, database management or operations, security, integration Core Competencies: Proficiency in defining current and future state Data Architecture models. In depth knowledge of cloud data platforms AWS(Primary) and Azure(Secondary). At least one cloud certification is required. Experience and expertise in designing, implementing or maintaining the following: Master Data Management solutions, Data Marketplace solutions, Data Science Platforms and Productizing Data, Enterprise Analytics solutions. Experience/exposure with one or more Neural Networks, machine learning, deep learning and NLP tools and frameworks. Experience migrating monolith on-prem applications to the cloud using Refactoring, Rearchitecting and Re-platforming approaches, including 12-factor. At least one industry-recognized tool/framework/certification is required. Experience in DevOps tools, automated deployments and containerization. At least one industry-recognized tool/framework/certification is required. Excellent communication skills that translate business problems in technical solutions Consult with customers to solve business problems by adapting current technology and/or capitalizing on emerging technology for competitive advantage to meet the strategic objectives of M&A Conduct demonstrations and presentations to executive management of prototypes and proof-of-concepts. Understanding of agile methods (SAFe) and processes, and capability of supporting agile product teams by providing advice and guidance on opportunities, impact and risks, taking account of technical and architectural debt Preferences: More than 5+ years of experience in designing and building SQL, no-SQL, big data, GraphDB, APIs, Kafka, and streaming solutions is highly preferred Previous proven Data Architecture experience to include contributing to and/or progressing the following: Enterprise Data Modeling, Information Architecture Modeling, Information Analysis Modeling, Physical Data Modeling, Enterprise Data Governance Functions and Frameworks - Standards, Policies, Processes, QA, Enterprise Data Technology Landscape, Enterprise Information Analysis Maps, Reference, Master, Meta Data and Document Practices, Data Virtualization, Data Streaming, Operational Data Store, Data Warehouse, Data Management Practice including Stewardship and Life Cycle Management AWS Certification DevOps Certification Application Portfolio Rationalization Certification Data Security Certification With Regards, [email protected] -- Keywords: cprogramm continuous integration continuous deployment quality analyst artificial intelligence machine learning user interface business intelligence sthree active directory rlang information technology golang wtwo California Missouri New York URGENT - W2 Roles for Independent Consultants [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2200308&uid= |
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| 09:39 PM 24-Feb-25 |