Role & responsibilities The Business Manager Health Agency will be responsible for driving health business through Insurance Agents in their respective locations. They will work closely with our existing retail distribution teams to recruit new Agents and also further sales through current agency relationships. Preferred candidate profile Graduates in any discipline full time with minimum 50% Candidate must be less than or equal to 25 years of age at the time of the application` Regards Chaitra R Ph- 9844755540

Skills Required: Should have a minimum 6+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and nontechnical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.

Skills Required: Should have a minimum 3+ years in Data Engineering, Data Analytics platform. Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and nontechnical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow, Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.

Purpose of Role In this role, The Candidate should be highly analytical with a knack for analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. To help our company analyze trends to make better decisions. Build propensity models, customer segmentations, uplift models, campaign response models, risk, and fraud detection models. Also, integrate the models with the business processes and consuming systems via ML Ops processes. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to evaluate the effectiveness of different courses of action. Key Accountabilities Responsibilities will include but will not be restricted to : Create models as required by the business with a high degree of precision and recall. Model accuracy and stability are key accountabilities. Undertake preprocessing of structured and unstructured data and analyze large amounts of information to discover trends and patterns. Assess the effectiveness and accuracy of new data sources and data gathering techniques. Coordinate with different functional teams to implement models and monitor outcomes. Develop processes and tools to monitor and analyze model performance and data accuracy. Technical Requirements (what) Proven experience of 3+ years as a Data Scientist. Post Graduate degree in Computer Science, Statistics, Engineering, Physics, Mathematics, Econometrics or MBA with a ML/DS focus. Knowledge of SQL and R or Python; familiarity with Scala & SPARK is an asset. Candidates with experience of working on AWS stack will be preferred, however this is not a compulsory requirement. Knowledge and experience in machine learning, optimization, statistical and data mining techniquesregression, simulation, clustering, decision trees, classification algos (bagging/boosting), neural networks. Desired Personal Qualities or Behavior Strong Analytical critical thinking skills and business acumen Strong commitment to professional development. Process Oriented and excellent time management skills. Ability to adapt to new situations and issues and to solve problems. Good organizational, communication, presentational and people skills - with the capability to communicate concisely and effectively equally well with fellow employees, non-technical colleagues and with members and/or customers alike Regards, Manikandaprabhu J linkedin.com/in/manikandaprabhu-j-8ab5b115b

Job description Role :Java Full stack (React) Developer Purpose We are seeking a skilled and experienced Software Developer for our Software engineering team The ideal candidate should have a minimum of -4 years of experience in developing and implementing digital solutions with a focus on applications development. The role will involve working with a team of developers to design, develop, and maintain various web, websites, and digital platforms Key Accountabilities Responsibilities will include but will not be restricted to: Design, develop and maintain web applications, websites, and digital platforms Collaborate with designers and other developers to develop and implement user-friendly web designs and features that meet business requirements and user needs. Identify, troubleshoot, and debug technical issues and bugs in the code, and implement effective solutions to ensure the smooth functioning of digital platforms. Develop and maintain software documentation, including technical specifications, test plans, and user manuals. Perform code reviews and provide feedback to other developers to ensure high-quality code and adherence to coding standards. Stay up to date with emerging trends and technologies in web development and digital solutions, and identify opportunities to incorporate them into existing platforms Technical Requirements Bachelor's degree in computer science, Software Engineering, or a related field. Minimum of 3-6 years of experience in application development, including experience with Java with Springboot along with react.js Experience with popular web development frameworks Strong problem-solving skills and ability to troubleshoot technical issues in a fast-paced environment. Experience with Agile software development methodologies and familiarity with tools such as Jira, Git and Devops. Desired Personal Qualities and Behavior Excellent relationship management skills with the ability to engage, negotiate and manage key stakeholders and suppliers. Excellent communication, interpersonal and influencing skills. Regards, Manikanda Prabhu J linkedin.com/in/manikandaprabhu-j-8ab5b115b

Job Description: We are seeking an experienced AWS Cloud Administrator with a strong background in Linux administration and AWS services. The ideal candidate will have a minimum of 5+ years of relevant experience, AWS certification, and a proven track record of working with AWS partner companies. Responsibilities: Setup and manage Linux and Windows servers on AWS, including EC2, EBS, ELB, ALB, SSL, Security Groups, IAM Roles, and Policies. Demonstrate core skills in all Linux platforms and set up web servers such as Apache and Tomcat. Build and maintain AWS serverless multi-tier architectures. Manage VPCs, subnets, ACLs, AWS native firewalls, WAF, and routing tables. Create and manage S3 buckets for application and database logs with appropriate retention policies. Automate infrastructure management using Terraform. Manage CI/CD pipelines and ensure smooth deployment processes. Implement and manage version control systems using Git or Bitbucket. Automate repetitive tasks to enhance team efficiency and productivity. Utilize AWS Security Hub and Inspector for cloud security posture management. Work with Docker and Kubernetes for containerization and orchestration. Ensure security and OS patches are applied to all cloud services. Maintain cost optimization and utilize AWS Trusted Advisor. Monitor performance and ensure all cloud services meet SLA requirements. Qualifications: Minimum of 6+ years of experience in AWS administration and Linux administration. AWS certification (Solution Architect Associate or higher) is mandatory. Proven experience working with AWS partner companies. Strong knowledge of AWS services and infrastructure management. Proficiency in CI/CD pipeline management and automation tools. Experience with Terraform, Docker, and Kubernetes. Excellent problem-solving and troubleshooting skills. Strong communication and collaboration abilities. Regards, Prabhu J linkedin.com/in/manikandaprabhu-j-8ab5b115b

Job description Role : Software Developer Purpose We are seeking a skilled and experienced Software Developer for our Software engineering team The ideal candidate should have a minimum of 4 years of experience in developing and implementing digital solutions with a focus on web development. The role will involve working with a team of developers to design, develop, and maintain various web, websites, and digital platforms Key Accountabilities Responsibilities will include but will not be restricted to: Design, develop and maintain web applications, websites, and digital platforms Collaborate with designers and other developers to develop and implement user-friendly web designs and features that meet business requirements and user needs. Identify, troubleshoot, and debug technical issues and bugs in the code, and implement effective solutions to ensure the smooth functioning of digital platforms. Develop and maintain software documentation, including technical specifications, test plans, and user manuals. Perform code reviews and provide feedback to other developers to ensure high-quality code and adherence to coding standards. Stay up to date with emerging trends and technologies in web development and digital solutions, and identify opportunities to incorporate them into existing platforms Technical Requirements Bachelor's degree in computer science, Software Engineering, or a related field. Minimum of 3-6 years of experience in web development, including experience with Java with Springboot Experience with popular web development frameworks Strong problem-solving skills and ability to troubleshoot technical issues in a fast-paced environment. Experience with Agile software development methodologies and familiarity with tools such as Jira, Git and Devops. Desired Personal Qualities and Behavior Excellent relationship management skills with the ability to engage, negotiate and manage key stakeholders and suppliers. Excellent communication, interpersonal and influencing skills. Regards, Manikanda Prabhu J linkedin.com/in/manikandaprabhu-j-8ab5b115b

Job description Skills Required: Should have a minimum 7+ years in Data Engineering, Data Analytics platform and minimum 2 years of lead experience Should have strong hands-on design and engineering background in AWS, across a wide range of AWS services with the ability to demonstrate working on large engagements. Should be involved in Requirements Gathering and transforming them to into Functionally and technical design. Maintain and optimize the data infrastructure required for accurate extraction, transformation, and loading of data from a wide variety of data sources. Design, build and maintain batch or real-time data pipelines in production. Develop ETL/ELT Data pipeline (extract, transform, load) processes to help extract and manipulate data from multiple sources. Automate data workflows such as data ingestion, aggregation, and ETL processing and should have good experience with different types of data ingestion techniques: File-based, API-based, streaming data sources (OLTP, OLAP, ODS etc) and heterogeneous databases. Prepare raw data in Data Warehouses into a consumable dataset for both technical and non[1]technical stakeholders. Strong experience and implementation of Data lakes, Data warehousing, Data Lakehousing architectures. Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures. Monitor data systems performance and implement optimization strategies. Leverage data controls to maintain data privacy, security, compliance, and quality for allocated areas of ownership. Experience of AWS tools (AWS S3, EC2, Athena, Redshift, Glue, EMR, Lambda, RDS, Kinesis, DynamoDB, QuickSight etc.). Strong experience with Python, SQL, pySpark, Scala, Shell Scripting etc. Strong experience with workflow management & Orchestration tools (Airflow) Should hold decent experience and understanding of data manipulation/wrangling techniques. Demonstrable knowledge of applying Data Engineering best practices (coding practices to DS, unit testing, version control, code review). Big Data Eco-Systems, Cloudera/Hortonworks, AWS EMR etc. Snowflake Data Warehouse/Platform. Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. Experience of working with CI/CD technologies, Git, Jenkins, Spinnaker, Ansible etc Experience building and deploying solutions to AWS Cloud. Good experience on NoSQL databases like Dynamo DB, Redis, Cassandra, MongoDB, or Neo4j etc. Experience with working on large data sets and distributed computing (e.g., Hive/Hadoop/Spark/Presto/MapReduce). Good to have working knowledge on Data Visualization tools like Tableau, Amazon QuickSight, Power BI, QlikView etc. Experience in Insurance domain preferred.

Roles and Responsibilities Manage agent/IMD recruitment process, including identifying potential agents and training them on motor insurance products. Develop and execute strategies to increase sales performance of existing agents through cross-selling opportunities. Build strong relationships with retail agencies to expand distribution channels and drive business growth. Conduct regular performance reviews with agents to identify areas for improvement and provide coaching/training as needed. Analyze market trends and competitor activity to stay ahead in the competitive general insurance landscape. Desired Candidate Profile 1-8 years of experience in General Insurance Sales , Broking or any field sales Strong understanding of Motor insurance products and services. Proven track record in agent recruitment, development, and management. Excellent communication, negotiation, and leadership skills. Regards Chaitra R 9844755540

Purpose of Role Maintain the appropriate skills, tools & test environments, in line with methodologies & defined testing standards Ensure resources availability for holistic, scalable enterprise application testing for complete project portfolio Defining quality assurance process, testing frameworks, test strategies & guidelines Key Accountabilities Manages internal staff and external vendors for testing/quality assurance of business solutions/new system capabilities for multiple projects in parallel Work closely with development teams to ensure that software is being developed to meet quality standards, and ease of deployment and maintenance. Review and implement QA processes and procedures, including testing strategies, test plans, test scenarios, required timelines and definition of done Monitors project deliverables are meeting entry and exit criteria across the testing lifecycle Creates testing metrics reports & distributes to the target audience (Eg. technical debt, code/test coverage, defect statistics, automation coverage) Ensure robust test environments and valid test data. Ensure that softwares are getting thoroughly tested and identified defects are resolved in timely manner. Collaborate with other teams in the organization, to ensure that software development is aligned with overall goals of the Chola MS. Keeping up to date with industry trends and best practices in software quality assurance. Technical Requirements Bachelors degree in computer science or any similar fields 13+ years of experience in QA or any equivalent experience along with 5+ years of managing the team. Expertise in software testing, including test planning, test case design, test execution and defect management. Familiarity with software quality assurance tools and technologies, such as automated testing tools, test management tools, and defect tracking systems. Good understanding of various bug tracking tools (e.g., Jira, Remedy), S/W quality tool, test coverage (e.g., SonarQube) and test/build environment tool (e.g., Jira, Jenkins, Tosca, Perfecto) Mangers having experience in or understanding of support functions such as Finance, risk, operations, CISO, HR etc. of Insurance sector will be preferred. Strong logical reasoning ability and problem-solving skills Strong understanding of software development methodologies, such as Agile, Waterfall and DevOps Experience with project management and budgeting. Understanding of performance testing, device farm testing, coordinating security tests, Information security tests. Desired Personal Qualities and Behavior (the how) Strong commitment to professional development. Process Oriented and excellent time management skills Ability to adapt to new situations and issues and to solve problems Good organizational, communication, presentational and interpersonal skills - with the capability to communicate concisely and effectively equally well with fellow engineers, non-technical colleagues and with members and/or customers alike