At KAVI INDIA, we rely on insightful data to power our systems and solutions. Were seeking an experienced data scientist to deliver insights daily. The ideal candidate will have mathematical and statistical expertise, along with natural curiosity and a creative mind. While mining, interpreting, and cleaning our data, this person will be relied on to ask questions, connect the dots, and uncover hidden opportunities for realizing the datas full potential. As part ofa team of specialists, the data scientist will slice and dice data using various methods and create new visions for the future.Objectives of this role Collaborate with product design and engineering teams to develop an understanding of needs Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes by using analytics for meaningful insights Keep current with technical and industry developmentsResponsibilitiesLead a team of data scientists to develop strategies for our products that serve global client.Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy.Influence product direction through clear and compelling presentations to leadership.Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.Contribute towards advancing the Data Science discipline at Kavi, including but not limited to driving data best practices.improving analytical processes, scaling knowledge and tools, and mentoring other data scientists.Execute analytical experiments to help solve problems across various domains and industries.Identify relevant data sources and sets to mine for client business needs and collect large structured and unstructured datasets and variables.Devise and utilize algorithms and models to mine big-data stores; perform data and error analysis to improve models; clean and validate data for uniformity and accuracy.Required skills and qualifications:12 or more years of experience in data science with higher pedigreeProficiency with data mining, mathematics, and statistical analysisAdvanced experience in pattern recognition and predictive modellingExperience with Excel, PowerPoint, Tableau, SQL, and programming languages (ex: Java/Python, SAS)Ability to work effectively in a dynamic, research-oriented group that has several concurrent projectsPreferred skills and qualificationsMasters degree (or equivalent) in statistics, applied mathematics, or related discipline8 or more years of project management experience

A Data Engineering Manager plays a pivotal role in designing, constructing, and maintaining large-scale data processing systems and infrastructure. This position ensures that data is accessible, reliable, and optimally structured to support analytics and business decision-making processes.Key Responsibilities:Experience in Data Modelling, Data/ Information Architecture, Metadata Management, Master Data management, Data Governance & Data Quality.Strong experience with designing ETL/ELT Pipelines/Data flows using Azure Data Factory and familiarity with Azure Functions, Azure Logic Apps, Azure Service Bus, and Azure Storage.Monitor, maintain and optimize data pipeline environments for performance and scalability.Experience of Big data approach, architectural concepts, data sourcing/ ingestion/ curation and storage mechanisms.Experience in analytics, data warehousing, enterprise reporting.Participate in agile development processes and contribute to the overall architecture and design of data solutions.Highly skilled in end-to-end Data warehousing and BI (analytics) design / development.Create Design, Functional/Technical specification documentations or any artifacts needed.Job Requirements:Bachelor's degree in computer science or related field preferred with 12+ years of experience in Data engineering.Recruit, Train and develop a team of performing data Engineers.Strong working knowledge of Microsoft Azure and its components.Familiarity with Agile development methodologies and DevOps principles.Ability to work collaboratively in a team environment.Strong problem-solving skills and ability to troubleshoot issues in complex data environments.

Key Responsibilities:Assist with posting job openings on various platforms.Screen resumes and conduct initial candidate assessments.Coordinate interviews between hiring managers and candidates.Maintain and update candidate databases.Support the HR team in day-to-day recruitment and administrative tasks.Communicate with candidates throughout the recruitment processRequired Qualifications:Recently graduated with a degree in Human Resources, Business Administration, or related field.Strong communication and interpersonal skills.Previous internship experience in HR or recruitment is a plus

Job Summary: We are looking for a HR Generalist, who will manage and execute varioushuman resources programs, including employee relations, performance management, andcompliance. This role requires a seasoned professional with extensive HR knowledge andthe ability to drive HR initiatives aligning with organizational goals.Key Responsibilities:Employee Relations:Serve as a trusted advisor to employees and management on HR policies and procedures.Address and resolve complex employee relations issues with a focus on legal compliance and organizational culture.Implement initiatives to enhance employee engagement and retention.Performance Management:Oversee the performance appraisal process, ensuring alignment with organizational objectives.Provide guidance to managers on performance improvement plans and employee development.Compliance and Policy Development:Ensure compliance with local and national labour laws and regulations.Develop, update, and enforce HR policies and procedures.Maintain accurate and confidential employee records.Training and Development:Identify training needs and design programs to enhance employee skills and career development.Facilitate workshops and training sessions on various HR topics.Compensation and Benefits:Administer and evaluate compensation and benefits programs to ensure competitiveness.Conduct market analyses to inform salary structures and benefit offerings. HR Metrics and Reporting:Analyse HR metrics to assess the effectiveness of HR initiatives and inform decision-making.Prepare reports on HR activities, such as recruitment, turnover, and employee satisfaction.Qualifications: Masters degree in human resources, Business Administration, or a related field. 5 to 7 years of progressive HR experience, with at least 3 years in a generalist role. In-depth knowledge of employment laws and HR best practices. Proven experience in policy development and implementation. Excellent communication, interpersonal, and conflict-resolution skills. Strong organizational and project management abilities. Proficiency in HRIS systems and Microsoft Office Suite.Available to work in US shift time zone (6:30PM - 3:30PM)Preferred Qualifications: Professional HR certification (e.g., SHRM-CP, PHR). Experience in strategic HR planning and organizational development. Familiarity with performance management and employee engagement strategies.

We are seeking an experienced AWS Data Engineer with expertise in Databricks to design, build, and optimize large-scale data pipelines and data processing workflows on the AWS Cloud. The ideal candidate will have hands-on experience working with Databricks, big data technologies, and AWSnative services, ensuring efficient data ingestion, transformation, and analytics to support businesscritical decisions. Key Responsibilities:Data Pipeline Development: Design, implement, and manage scalable ETL/ELT pipelines using AWS services and Databricks.Data Integration: Ingest and process structured, semi-structured, and unstructured data from multiple sources into AWS Data Lake or Databricks.Data Transformation: Develop advanced data processing workflows using PySpark, Databricks SQL, or Scala to enable analytics and reporting.Databricks Management: Configure and optimize Databricks clusters, notebooks, and jobs for performance and cost efficiency. AWS Architecture: Design and implement solutions leveraging AWS-native services like S3, Glue, Redshift, EMR, Lambda, Kinesis, and Athena. Collaboration: Work closely with Data Analysts, Data Scientists, and other Engineers to understand business requirements and deliver data-driven solutions.Performance Tuning: Optimize data pipelines, storage, and queries for performance, scalability, and reliability. Monitoring and Security: Ensure data pipelines are secure, robust, and monitored using CloudWatch, Datadog, or equivalent tools. Documentation: Maintain clear and concise documentation for data pipelines, workflows, and architecture. Required Skills & Qualifications:Data Engineering Expertise: 6+ years of experience in data engineering with at least 2+ years working on Databricks.AWS Cloud Services: Hands-on experience with AWS ecosystem, including S3, Glue, Redshift, DynamoDB, Lambda, and other AWS data services. Programming Languages: Proficiency in Python (PySpark), Scala, or SQL for data processing and transformation.Databricks: Extensive experience with Databricks Workspace, Delta Lake, and managing databricks jobs and pipelines.Big Data Frameworks: Strong knowledge of Apache Spark for distributed data processing.Data Warehousing: Experience with modern data warehouse solutions, including Redshift, Snowflake, or Databricks SQL.Version Control & CI/CD: Familiarity with Git, Terraform, and CI/CD pipelines for deploying data solutions.Monitoring & Debugging: Experience with tools like CloudWatch, Datadog, or equivalent for pipeline monitoring and troubleshooting. Preferred Qualifications: Certification in AWS Data Analytics or Databricks.Experience with real-time data streaming tools like Kafka, Kinesis, or AWS MSK. Knowledge of data governance and data security best practices.Exposure to machine learning workflows and integration with Databrick

As a Full Stack Developer specialized in Microsoft Technology with Azure Knowledge, he/she should be able to play a pivotal role in driving our organization's digital transformation journey and opportunity to leverage their expertise in Microsoft technologies and Azure cloud services to develop innovative solutions that empower our clients and propel our business forward. A fully knowledgeable .NET developer can use .NET to build a highly distributed web application, a sophisticated desktop application, or even a modern mobile application.Responsibilities:Designing and developing scalable, responsive, and user-friendly web applications using Microsoft technologies such as .NET, ASP.NET, C#, and Azure services.Collaborating with UX/UI designers to create intuitive user interfaces and ensure a seamless user experience.Implementing robust back-end solutions, including database design, development, and optimization using SQL Server or other relevant technologies.Integrating third-party APIs and services to enhance application functionality and interoperability.Writing clean, maintainable, and well-documented code adhering to industry best practices and coding standards.Conducting code reviews, debugging, and troubleshooting to ensure the quality and reliability of software applications.Deploying applications to Azure cloud infrastructure and managing cloud resources effectively.Implementing security measures to protect sensitive data and prevent unauthorized access. Collaborating with stakeholders to gather requirements, provide technical guidance, and support the software development lifecycle.Keeping abreast of emerging technologies, trends, and best practices in Microsoft development and Azure cloud computing.Education:Master's degree in computer scienceBachelor's degree in computer science, Technology, or equivalent work experienceExperience:5 to 7 years of experience Knowledge:Strong experience with .NET Core and C#.Good understanding of Entity Framework and SQL Server.Experience working with LINQ for querying data.Proficiency in Azure Functions and familiarity with various Azure Services.Minimum 1 year of hands-on experience with ReactJS for front-end development.Knowledge of REST API design and implementation.Understanding of software development best practices, including version control (Git) and CI/CD pipelines.Strong problem-solving and debugging skills.Good communication and collaboration skills.Good to Have:Knowledge of Microsoft 365Azure Active Directory