Qureos Mentor

KNOWFINITY

<div>
 
 Summary
 
 
 
 We are hiring a
 
 Software Engineer
 
 on behalf of one of our prestigious
 
 Fortune 500 Product-Based clients in the United States
 
 . This is an exciting opportunity to work on large-scale applications, cloud-native platforms, and innovative products used by millions of customers worldwide.
 
 
 The ideal candidate should have hands-on experience in software development, building scalable systems, and collaborating with cross-functional teams to deliver high-quality solutions in a fast-paced product environment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, test, and maintain scalable software applications and services.
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 <li>
 Write clean, efficient, and maintainable code following industry best practices.
 </li>
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 Collaborate with product managers, designers, and engineering teams to build innovative features.
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 Develop and integrate APIs, microservices, and backend systems.
 </li>
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 Participate in code reviews and contribute to engineering best practices.
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 Troubleshoot, debug, and optimize application performance.
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 Ensure software reliability, scalability, security, and maintainability.
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 Contribute to the full software development lifecycle from design to deployment.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in Software Engineering or related development roles.
 </li>
 <li>
 Strong programming skills in Java, Python, C#, JavaScript, or similar languages.
 </li>
 <li>
 Experience with object-oriented programming principles and software design patterns.
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 <li>
 Hands-on experience with REST APIs and backend development.
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 Familiarity with databases such as MySQL, PostgreSQL, SQL Server, or MongoDB.
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 Experience working with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Understanding of version control systems such as Git.
 </li>
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 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, Information Technology, or a related field.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience working in a product-based company.
 </li>
 <li>
 Familiarity with microservices architecture and distributed systems.
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 Experience with Docker, Kubernetes, and CI/CD pipelines.
 </li>
 <li>
 Knowledge of frontend technologies such as React, Angular, or Vue.js is a plus.
 </li>
 <li>
 Exposure to Agile/Scrum development methodologies.
 </li>
 <li>
 Experience building highly scalable and high-availability applications.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work with a Fortune 500 Product-Based organization.
 </li>
 <li>
 Exposure to enterprise-scale software engineering projects.
 </li>
 <li>
 Collaborative and innovation-driven work environment.
 </li>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Long-term career growth and advancement opportunities.
 </li>
 <li>
 Access to modern technologies and engineering best practices.
 
 
 </li>
 </ul>
 
 Work Authorization
 
 
 
 Candidates must be legally authorized to work in the United States.
 
 
 
 Visa sponsorship is available for eligible candidates.
 
 
 
 Skills: c#,gcp,sql,javascript,java,aws,python,software development,docker,git,azure
</div>

Software Engineer

<div>
 
 Summary
 
 
 
 We are hiring a
 
 Data Scientist
 
 on behalf of one of our prestigious
 
 Fortune 500 Product-Based clients in the United States
 
 . This is an exciting opportunity to work on large-scale data platforms, advanced machine learning solutions, and data-driven products used by millions of customers worldwide.
 
 
 The ideal candidate should have hands-on experience in statistical analysis, predictive modeling, machine learning, and transforming complex data into actionable business insights within a fast-paced product environment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and business opportunities.
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 Develop, validate, and deploy machine learning and predictive analytics models.
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 Design and implement statistical models to solve real-world business problems.
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 Collaborate with software engineers, data engineers, product managers, and business stakeholders to build data-driven solutions.
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 Build dashboards, reports, and visualizations to communicate insights effectively.
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 Perform feature engineering, model evaluation, and optimization for production-grade models.
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 <li>
 Develop forecasting, recommendation, classification, and clustering models.
 </li>
 <li>
 Support experimentation, A/B testing, and performance measurement initiatives.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
 </li>
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 Strong understanding of statistics, probability, and predictive modeling techniques.
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 Experience working with structured and unstructured datasets.
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 Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
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 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience working in a product-based company.
 </li>
 <li>
 Exposure to Generative AI, NLP, and Large Language Models (LLMs).
 </li>
 <li>
 Experience with Spark, Databricks, and big data technologies.
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 Familiarity with MLOps tools and model deployment practices.
 </li>
 <li>
 Experience with A/B testing and experimentation frameworks.
 </li>
 <li>
 Knowledge of recommendation systems and customer analytics.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work with a Fortune 500 Product-Based organization.
 </li>
 <li>
 Exposure to enterprise-scale data science and machine learning projects.
 </li>
 <li>
 Collaborative and innovation-driven work environment.
 </li>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Long-term career growth and advancement opportunities.
 </li>
 <li>
 Access to modern technologies and data-driven decision-making initiatives.
 
 
 </li>
 </ul>
 
 Work Authorization
 
 
 
 Candidates must be legally authorized to work in the United States.
 
 
 
 Visa sponsorship is available for eligible candidates.
 
 
 
 Skills: tableau,power bi,gcp,generative ai,sql,data science,aws,azure,python,data analytics,machine learning,tensorflow
</div>

Data Scientist

<div>
 We are hiring a
 
 Data Engineer
 
 on behalf of one of our prestigious
 
 Fortune 500 Healthcare clients in the United States
 
 . This is an excellent opportunity to work on large-scale healthcare data platforms, modern cloud technologies, and enterprise-grade data engineering initiatives that directly support critical business and patient-care operations.
 
 
 The ideal candidate should have hands-on experience in building scalable data pipelines, working with cloud-based data ecosystems, and supporting analytics and reporting solutions in a fast-paced enterprise environment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
 </li>
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 Build and optimize data workflows using modern cloud and big data technologies.
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 Collaborate with data analysts, business stakeholders, and engineering teams to deliver reliable data solutions.
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 Develop data integration processes across multiple healthcare and enterprise systems.
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 Ensure data quality, integrity, governance, and security standards are maintained.
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 Monitor and troubleshoot data pipelines and production jobs.
 </li>
 <li>
 Support reporting, analytics, and business intelligence initiatives.
 </li>
 <li>
 Participate in performance tuning and optimization of databases and data processing systems.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience as a Data Engineer or in a related data-focused role.
 </li>
 <li>
 Strong experience with SQL and relational databases.
 </li>
 <li>
 Hands-on experience with Python, PySpark, or Scala.
 </li>
 <li>
 Experience working with ETL tools and data pipeline development.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Experience with big data technologies like Spark, Hadoop, or Databricks is preferred.
 </li>
 <li>
 Knowledge of data warehousing concepts and dimensional modeling.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Healthcare domain experience preferred
 </li>
 <li>
 Exposure to HIPAA-compliant environments is an advantage
 </li>
 <li>
 Strong analytical and problem-solving skills
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work with a Fortune 500 Healthcare organization.
 </li>
 <li>
 Exposure to enterprise-scale cloud and data engineering projects.
 </li>
 <li>
 Collaborative and technology-driven work environment.
 </li>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Long-term growth and career advancement opportunities.
 
 
 </li>
 </ul>
 
 Work Authorization
 
 
 
 Candidates must be legally authorized to work in the United States. Visa sponsorship is available for eligible candidates.
 
 
 Skills: data engineering,python,big data,azure,aws,sql,gcp,cloud,analytics,healthcare,data,etl
</div>

Data Engineer

Join KNOWFINITY and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

KNOWFINITY

About Company

Software Engineer

Data Scientist

Data Engineer