We are seeking a talented Full Stack Engineer with expertise in React.js, Node.js, and MongoDB to lead the development of our internal user interface and related backend services.
Tech stack- Database: Mongodb: S3 Postgres Strong experience on Data pipelines; mapping React; Node; Python Aws; Lambda About the job Summary We are seeking a detail-oriented and proactive Data Analyst to lead our file and data operations, with a primary focus on managing data intake from our clients and ensuring data integrity throughout the pipeline. This role is vital to our operational success and will work cross-functionally to support data ingestion, transformation, validation, and secure delivery. The ideal candidate must have hands-on experience with healthcare datasets, especially medical claims data, and be proficient in managing ETL processes and data operations at scale. Responsibilities File Intake & Management Serve as the primary point of contact for receiving files from clients, ensuring all incoming data is tracked, validated, and securely stored. Monitor and automate data file ingestion using tools such as AWS S3, AWS Glue, or equivalent technologies. Troubleshoot and resolve issues related to missing or malformed files and ensure timely communication with internal and external stakeholders. Data Operations & ETL Develop, manage, and optimize ETL pipelines for processing large volumes of structured and unstructured healthcare data. Perform data quality checks, validation routines, and anomaly detection across datasets. Ensure consistency and integrity of healthcare data (e.g., EHR, medical claims, ICD/CPT/LOINC codes) during transformations and downstream consumption. Data Analysis & Reporting Collaborate with data science and analytics teams to deliver operational insights and performance metrics. Build dashboards and visualizations using Power BI or Tableau to monitor data flow, error rates, and SLA compliance. Generate summary reports and audit trails to ensure HIPAA-compliant data handling practices. Process Optimization Identify opportunities for automation and efficiency in file handling and ETL processes. Document procedures, workflows, and data dictionaries to standardize operations. Required Qualifications Bachelors or Master’s degree in Health Informatics, Data Analytics, Computer Science, or related field. 5+ years of experience in a data operations or analyst role with a strong focus on healthcare data. Demonstrated expertise in working with medical claims data, EHR systems, and healthcare coding standards (e.g., ICD, CPT, LOINC, SNOMED, RxNorm). Strong programming and scripting skills in Python and SQL for data manipulation and automation. Hands-on experience with AWS, Redshift, RDS, S3, and data visualization tools such as Power BI or Tableau. Familiarity with HIPAA compliance and best practices in handling protected health information (PHI). Excellent problem-solving skills, attention to detail, and communication abilities.
Responsibilities: * Meet sales targets consistently * Source top talent through networking and job boards * Present qualified candidates to clients * Maintain candidate database for future reference
Job Summary: As a Senior Python Automation Tester, you will be a technical leader responsible for designing, developing, and maintaining robust automation frameworks and test suites. You will oversee quality assurance activities associated with software analysis. This includes developing test plans,performing exploratory testing and executing functional and regression testing. You will work closely with the development team, production management and support team to ensure the product is ready for release. Responsibilities: Automation Strategy & Architecture: Define and implement the overall automation strategy and architecture, ensuring scalability, maintainability, and efficiency. Framework Development & Maintenance: Design and develop advanced automation frameworks using Python and related technologies, focusing on reusability and extensibility.(e.g. Pytest,UnitTest) CI/CD Pipeline Optimization: Optimize the CI/CD pipeline for continuous testing and feedback, ensuring seamless integration of automated tests. Performance & Scalability Testing: Design and execute complex performance and scalability tests to identify bottlenecks and ensure application stability. Test Planning & Execution: Develop comprehensive test plans, test cases, and test data strategies for complex applications. Defect Management & Analysis: Lead defect analysis and root cause investigations, collaborating with development teams to ensure timely resolution. Code Reviews & Best Practices: Enforce code quality standards and best practices through rigorous code reviews. Technology Evaluation & Adoption: Evaluate and recommend new testing tools and technologies, including AI/ML platforms and libraries. Cross-functional Collaboration: Collaborate with product managers, developers, and other stakeholders to ensure alignment on testing goals and deliverables. Nice to have: AI-Powered Testing Implementation: Research, evaluate, and implement advanced AI and machine learning techniques for test automation, including: Developing custom AI models for test case generation and anomaly detection. Integrating AI-powered visual testing and predictive analytics into the testing pipeline. Leading the development of AI-driven test data management solutions. Technical Leadership & Mentorship: Provide technical guidance and mentorship to junior automation testers, fostering a culture of continuous learning and improvement. AI/ML Experience: Demonstrated experience in implementing AI/ML techniques for test automation, including model development and integration. Qualifications: Education: Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Experience: 8+ years of experience in software testing and automation, with a proven track record of leading automation efforts. Python Expertise: Expert-level proficiency in Python and experience with advanced automation frameworks and libraries. CI/CD Mastery: Deep understanding of CI/CD pipelines and experience with related tools and technologies. Performance Testing Expertise: Extensive experience with performance and scalability testing tools and methodologies. Leadership Skills: Strong leadership, mentorship, and communication skills. Problem-Solving Skills: Excellent analytical and problem-solving skills, with the ability to tackle complex technical challenges. Agile Expertise: Extensive experience working in Agile/Scrum environments. Cloud Proficiency: Experience with cloud platforms (e.g., AWS, Azure, GCP) is highly desirable. Version control: advance understanding of GIT.
Responsibilities: Bench Sales: Market Bench Consultants.