| W2 Roles - Independent Consultants ONLY at Mountain View, California, USA |
| Email: [email protected] |
|
http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2204869&uid= Hi All, This is only for Independent Consultants with Independent visa NOT FOR Benchsales Recruiters . W2 Roles only. Interested Parties can mail me at [email protected]. The rate mentioned for the roles below are non-negotiable. 1. Role : Technical Data Analyst Location : Mountain View, CA [Hybrid] Exp : 8+ years Salary : $140k per annum Key Responsibilities: Perform end-to-end quantitative and qualitative analysis on large datasets to derive meaningful insights and support business decision-making. Develop complex SQL queries from scratch to extract, segment, and aggregate data from data warehouses. Utilize data query and processing tools/systems, including relational, NoSQL, and stream processing databases. Collaborate closely with cross-functional teams to understand data needs and design effective data models. Use AWS services such as Redshift and Athena, and demonstrate an understanding of AWS core concepts to optimize data operations. Implement and manage data modeling techniques using tools such as Python, R, and PyCharm. Present complex technical information in a clear and concise manner to executives and non-technical stakeholders. Work independently as a self-starter, applying critical thinking and creativity to solve problems. Stay curious and continuously improve processes by learning new techniques and technologies. Quickly adapt and get up to speed on business systems such as Salesforce, Amazon Connect, and EWFM, and understand their data architecture and interactions. Qualifications: Experience: 8+ years in quantitative data analysis, data engineering, or a related field. Education: Technical undergraduate degree in Engineering, Computer Science, Statistics, Analytics, or equivalent experience. Technical Skills: Advanced SQL proficiency Experience with AWS (Redshift, Athena) and core AWS concepts Knowledge of data query and data processing systems (relational, NoSQL, stream processing) Familiarity with data modeling techniques Experience with analytical tools like Python, R, or PyCharm 2. Python Developer (Only Citizens) Remote Salary : $110k per annum (Jr level - 6 yrs ) $120kper annum (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 3. Mid Level Data Engineer, 7+ yrs experience - $120k per annum Senior Data Engineer, 9+ yrs experience - $130k per annum Principal Data Engineer, 11+ yrs - $140k per annum 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. 4. Product & AI/ML Data Analyst Salary :$130k per annum Location : Remote Exp : 7+ years 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 Salary: $120 per annum 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 ] $130k per annum 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. Role: Sales Product Manager (PRM and Salesforce) Location: Mountain View, CA (Hybrid) Rate: $140k per annum Exp : 8+ Years 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 8. Business Systems Analyst Exp: 7+ years Remote Salary : $110k per annum 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. 9. Data Science Analyst Exp : 5+ years Salary : $125k per annum 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. With Regards, [email protected] -- Keywords: cprogramm continuous integration continuous deployment quality analyst artificial intelligence machine learning business intelligence sthree rlang information technology golang wtwo California Missouri W2 Roles - Independent Consultants ONLY [email protected] http://bit.ly/4ey8w48 https://jobs.nvoids.com/job_details.jsp?id=2204869&uid= |
| [email protected] View All |
| 10:33 PM 25-Feb-25 |