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
Role: System administrator Role description: This role is accountable for DC/DR IT infrastructure reliability, standards, security, efficiency, and best practices with efficient use of IT funds & resources. Job Description: Administration, maintenance & support for AIX & Linux Basic Knowledge Network & Oracle DB Administration, maintenance & support for IBM/DELL/HPE Chassis & servers Good Knowledge in ITIL skill Incident, Service Request, CR Management Production data backup & management OS & middleware (IIS/Apache/Java) Installation & Troubleshooting Windows Security Patch management Hyper V & VMware Administration Disaster recovery site management Managing/supporting projects related to DC/DR IT Infrastructure. Tracking & reporting key performance metrics and risks related to DC/DC IT Infrastructure Providing subject matter expertise for OS & middleware. Ensuring committed SLA adherence to DC/DR IT Infrastructure metrics. Qualification: Minimum 6 to 10 years of hands-on experience in AIX servers & HMC administration MCA or Engineering degree preferred-(Regular Class room) Having mid-level networking/routing and infra security knowledge preferred
Job description 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 Roles and responsibilities: Software Documentation. Microsoft Visio and Microsoft office skills. SDLC (Software Development, Operations and Support). Working with different team and vendors to build a strong document library for the Organizational teams. Good to have(Basic knowledge should be fine): Cloud Data Engineering, Ingestion knowledge, Datawarehouse, Databases skills, ETL knowledge, Reporting/Data Visualization, any programming language (Java, python, C/C++ etc.) New technologies stack updates. Thank you
Roles and Responsibilities Sell insurance products such as health, motor, general, travel, home, accidental, marine & liability to customers through bancassurance channels. Identify new business opportunities and develop strategies to increase sales revenue. Build strong relationships with bank partners to drive cross-selling opportunities. Provide excellent customer service by resolving queries and issues promptly. Meet or exceed monthly targets set by the company. Desired Candidate Profile 1-6 years of experience in Banca Sales or Bancassurance Sales. Strong knowledge of various types of insurance products (health, motor, general, etc.). Excellent communication skills for effective relationship-building with bank partners and customers. Ability to work independently with minimal supervision while meeting deadlines. CONTACT DETAILS HR PAYEL SARKAR- 9330476139 (WHATSAPP ONLY)
React, NodeJS, Mongo DB , SQL programming experience Exposure to ionic (Nice to have). Module design experience in design and development of APIs using NodeJS , API integration with react, Ability to write Unit testing using standard frameworks Exposure for TDD (Nice to Have) Experience in using VS code , Bitbucket, SQL Management studio and Postman Familiarity with tools like JIRA, Jenkins, or Docker Familiarity with HTML, CSS , and front-end frameworks is a plus. Knowledge of version control systems like Git. Understanding of software development lifecycle (SDLC) and Agile methodologies. Strong analytical and problem-solving skills. Good communication and teamwork abilities
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 4+ 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 4+ 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
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 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.
Purpose of Role Quality Assurance team is dedicated to ensuring the best quality of software products are developed and Customer Experience is enhanced. Quality Engineering team builds, reuse and supports technology agnostic automated frameworks, supporting Legacy, Digital, Data and NextGen platforms. We are seeking a Software Development Engineer in Test (SDET) who has passion for using technology to develop and maintain solutions for General Insurance products. Experience in General Insurance and Risk systems is preferred. Key Accountabilities A Software Development Engineer in Test (SDET) is a developer with the responsibility of developing frameworks and tools to test Digital and Mobile products (iOS & Android) and support any non-functional testing like (Security/Performance) It is a unique role, providing immense opportunity to design and develop and Test wide range of Applications. SDETs are able to understand software architecture, debug code, automate repetitive tasks, and implement new tools and frameworks needed to streamline our quality process. Our SDETs work to understand project features, review technical designs, and implement automated test tools that help deliver quality features with efficiency. They also understand customer usage models and can develop test plans and test cases that approximate real-world environments and scenarios. Our SDET is also responsible to Self-educates to gain a comprehensive understanding of relevant development languages, runtimes, frameworks, database platforms, and tooling. Technical Requirements Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as SDET. Ability to develop strategies, test plans, and test cases for various technologies and platforms. Expertise in Mobile automation, both for iOS and Android applications Expertise in Native, Hybrid and React applications. Advance skills in automation tools Appium, WebdriverIO, Playwright, etc. Experience in working with Simulators, Emulators, Real devices and device farms. Strong experience in designing and implementing automation frameworks and tools for software development lifecycle Experience with continuous integration and deployment tools, such as Jenkins, GitLab, and Travis CI Strong knowledge of scripting languages such as JAVA or Python. Experience in Agile/ Scrum and in-sprint automation models Desired Personal Qualities and Behavior (the how) Strong commitment to professional development. 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 technical and non-technical colleagues and with members and/or customers alike.
Mandatory Key responsibilities include coordinating with hiring managers, assisting with the onboarding process, and learning to develop strong candidate relationships and employer brand promotion. Essential qualifications are a Full time PG degree in HR(2024/2025 passed out), strong communication and organizational skills, and a proactive, detail-oriented mindset eager to learn HR best practices and leverage recruitment technologies.
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