Role : Test Automation Engineer Location : Hyderabad Duration : Full time permanent Job Scope Design, implement, and maintain automated test scripts and frameworks for functional, regression, performance, and integration testingDevelop automation tools using JavaBuild and enhance reusable automation frameworks and libraries to improve testing efficiencyUtilize tools like Selenium, Appium 2, TestNG, and JUnit for automated testingIntegrate test automation into CI/CD pipelines using tools such as JenkinsWork closely with software developers, QA engineers, DevOps teams, and product owners to identify areas for automationParticipate in grooming, sprint planning, code reviews, and technical discussionsDefect Analysis and ReportingMentorship and LeadershipDocumentation. - Manual testing Skills Required Minimum 10 years of quality assurance testing experience to work with other team members on planning, implementation, execution, and automationMonitoring of product test cases with knowledge of test case management tools, such as Jira-XrayExcellent analytical and problem-solving skills and excellent organizational skills and attention to detailGood No-SQL skills and familiarity with Mongo DB8+ years of experience in creating test plans and test cases from written specifications or verbal communications8+ years of experience in QA automation using Selenium, Java, AppiumExcellent verbal and written English communication skillsExperience with integrating automation scripts with GitLab

Company Description RiskInsight Consulting Pvt Ltd. was established in India in September 2018 and is a subsidiary of Unison Consulting. Our mission at RiskInsight is to empower companies through innovative insurance and financial services. We provide a comprehensive suite of risk management consulting services, addressing areas such as credit, market, liquidity, insurance, and regulatory risk management. Our experts assist clients in implementing risk management and risk analytics systems through techno-functional consulting, system integration, business intelligence, and custom IT solutions for insured and financial institutions. Job Description: We are looking for a skilled Senior Mobile Test Automation Engineer with a strong background in both web and mobile automation testing. The ideal candidate will have hands-on experience with Selenium, Appium, and Cucumber, along with expertise in manual testing and test case writing. Your tasks will include: - Design, implement, and maintain automated test scripts and frameworks for functional, regression, performance, and integration testing. - Develop automation tools using Java. - Build and enhance reusable automation frameworks and libraries to improve testing efficiency. - Utilize tools like Selenium, Appium 2, TestNG, and JUnit for automated testing. - Integrate test automation into CI/CD pipelines using tools such as Jenkins. - Work closely with software developers, QA engineers, DevOps teams, and product owners to identify areas for automation. - Participate in grooming, sprint planning, code reviews, and technical discussions. - Defect Analysis and Reporting. - Mentorship and Leadership. - Documentation. - Manual testing. You have the following skillset to complement our team: - Minimum 10 years of quality assurance testing experience to work with other team members on planning, implementation, execution, and automation. - Monitoring of product test cases with knowledge of test case management tools, such as Jira-Xray. - Excellent analytical and problem-solving skills and excellent organizational skills and attention to detail. - Good No-SQL skills and familiarity with Mongo DB. - 8+ years of experience in creating test plans and test cases from written specifications or verbal communications. - 8+ years of experience in QA automation using Selenium, Java, Appium. - Excellent verbal and written English communication skills. - Experience with integrating automation scripts with GitLab. Personal: - Strong customer focus and well organized and always thinking one step ahead with our customer in mind. - Self-motivated individuals with excellent problem-solving skills. - Experience working closely with a development team in an agile environment. - English language is a must Show more Show less

Job Description: We are looking for a skilled Senior Test Automation Engineer with a strong background in both web and mobile automation testing. The ideal candidate will have hands-on experience with Selenium, Appium, and Cucumber, along with expertise in manual testing and test case writing. Your tasks will include: Design, implement, and maintain automated test scripts and frameworks for functional, regression, performance, and integration testing Develop automation tools using Java Build and enhance reusable automation frameworks and libraries to improve testing efficiency Utilize tools like Selenium, Appium 2, TestNG, and JUnit for automated testing Integrate test automation into CI/CD pipelines using tools such as Jenkins Work closely with software developers, QA engineers, DevOps teams, and product owners to identify areas for automation Participate in grooming, sprint planning, code reviews, and technical discussions Defect Analysis and Reporting Mentorship and Leadership Documentation Manual testing Personal: Strong customer focus and well organized and always thinking one step ahead with our customer in mind Self-motivated individuals with excellent problem-solving skills Experience working closely with a development team in an agile environment English language is a must

Hello Folks, We are looking for SAP Hana Consultant with Data Warehouse Environment(OLAP) OR OLTP with ETL for our banking client project. Experience - 4+ to 12+ Location- Chennai ( Hybrid 3 days ) NP- Immediate to 15 days Preferred CTC- as years of experience Skills / JD: SAP HANA Developer who’s hands-on with: ETL pipelines Performance tuning SQLScript/stored procedures Data analysis and architecture Batch scheduling (Control-M/Autosys etc.) Understanding of OLTP vs OLAP systems Thanks, Arpita Ghosh.

Responsibilities Design, develop, and implement robust Big Data solutions using technologies such as Hadoop, Spark, and NoSQL databases Build and maintain scalable data pipelines for effective data ingestion, transformation, and analysis Collaborate with data scientists, analysts, and cross-functional teams to understand business requirements and translate them into technical solutions Ensure data quality and integrity through effective validation, monitoring, and troubleshooting techniques Optimize data processing workflows for maximum performance and efficiency Stay up-to-date with evolving Big Data technologies and methodologies to enhance existing systems Implement best practices for data governance, security, and compliance Document technical designs, processes, and procedures to support knowledge sharing across teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field 4+ years of experience as a Big Data Engineer or in a similar role Strong proficiency in Big Data technologies (Hadoop, Spark, Hive, Pig) and frameworks Extensive experience with programming languages such as Python, Scala, or Java Knowledge of data modeling and data warehousing concepts Familiarity with NoSQL databases like Cassandra or MongoDB Proficient in SQL for data querying and analysis Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to work independently and effectively in a fast-paced environment Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

Responsibilities Design, develop, and implement robust Big Data solutions using technologies such as Hadoop, Spark, and NoSQL databases Build and maintain scalable data pipelines for effective data ingestion, transformation, and analysis Collaborate with data scientists, analysts, and cross-functional teams to understand business requirements and translate them into technical solutions Ensure data quality and integrity through effective validation, monitoring, and troubleshooting techniques Optimize data processing workflows for maximum performance and efficiency Stay up-to-date with evolving Big Data technologies and methodologies to enhance existing systems Implement best practices for data governance, security, and compliance Document technical designs, processes, and procedures to support knowledge sharing across teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field 4+ years of experience as a Big Data Engineer or in a similar role Strong proficiency in Big Data technologies (Hadoop, Spark, Hive, Pig) and frameworks Extensive experience with programming languages such as Python, Scala, or Java Knowledge of data modeling and data warehousing concepts Familiarity with NoSQL databases like Cassandra or MongoDB Proficient in SQL for data querying and analysis Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to work independently and effectively in a fast-paced environment Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

About The Role RiskInsight is seeking a dynamic and detail-oriented IT Business Analyst with expertise in Liquidity Risk to join our growing risk technology and analytics team. The ideal candidate will bridge business requirements and IT solutions, particularly in the areas of Liquidity Coverage Ratio (LCR) , Moody's RiskConfidence (RCO) , and Interest Rate Risk in the Banking Book (IRRBB) . Key Responsibilities Gather, document, and analyze business requirements related to liquidity risk and regulatory reporting Collaborate with stakeholders to drive alignment between business needs and technical solutions Translate regulatory requirements (e.g., LCR, MCO, RCO, IRRBB) into functional specifications Work closely with development and QA teams to ensure accurate implementation Assist in UAT planning, execution, and defect resolution Support regulatory projects, audits, and ad-hoc analysis Required Skills & Qualifications Proven experience as an IT Business Analyst in the banking or financial services domain Strong understanding of Liquidity Risk Management, especially LCR and NSFR frameworks Familiarity with RCO and IRRBB methodologies and reporting standards Ability to engage with both business and technical stakeholders effectively Experience in hybrid work environments and agile project delivery is a plus Preferred Attributes Strong communication, documentation, and analytical skills Self-starter with a solution-oriented mindset Exposure to regulatory compliance tools and data frameworks is advantageous

RiskInsight Consulting Pvt Ltd is looking for a Data Analyst with expertise in SQL and HDFS (Hadoop Distributed File System) to join our dynamic team. The selected candidate will play a crucial role in analyzing large datasets and providing actionable insights to drive business decisions. If you are a detail-oriented individual with a passion for data, we want to hear from you! Design, implement, and maintain data pipelines and workflows using HDFS for data management Conduct data extraction, transformation, and loading (ETL) processes using SQL and Hive Perform rigorous data analysis to identify trends, inconsistencies, and insights for stakeholders Collaborate with business units to understand their analytical needs and deliver data-driven insights Create visualizations and generate reports to present findings to both technical and non-technical audiences Ensure data integrity and security throughout all stages of data processing Stay informed about industry advancements in data analysis and contribute to best practices in the field Requirements Bachelor's degree in Computer Science, Data Science, Mathematics, or related field Proven experience in a Data Analyst role with strong expertise in SQL and HDFS Hands-on experience with Hive for querying and analyzing large datasets Familiarity with data visualization tools such as Tableau, Power BI, or similar Excellent problem-solving and analytical skills with the ability to draw meaningful conclusions from data Strong communication skills to effectively share insights with diverse teams Ability to work independently and as part of a team in a fast-paced environment Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

RiskInsight Consulting Pvt Ltd is looking for a Data Analyst with expertise in SQL and HDFS (Hadoop Distributed File System) to join our dynamic team. The selected candidate will play a crucial role in analyzing large datasets and providing actionable insights to drive business decisions. If you are a detail-oriented individual with a passion for data, we want to hear from you! Design, implement, and maintain data pipelines and workflows using HDFS for data management Conduct data extraction, transformation, and loading (ETL) processes using SQL and Hive Perform rigorous data analysis to identify trends, inconsistencies, and insights for stakeholders Collaborate with business units to understand their analytical needs and deliver data-driven insights Create visualizations and generate reports to present findings to both technical and non-technical audiences Ensure data integrity and security throughout all stages of data processing Stay informed about industry advancements in data analysis and contribute to best practices in the field Requirements Bachelor's degree in Computer Science, Data Science, Mathematics, or related field Proven experience in a Data Analyst role with strong expertise in SQL and HDFS Hands-on experience with Hive for querying and analyzing large datasets Familiarity with data visualization tools such as Tableau, Power BI, or similar Excellent problem-solving and analytical skills with the ability to draw meaningful conclusions from data Strong communication skills to effectively share insights with diverse teams Ability to work independently and as part of a team in a fast-paced environment Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

Responsibilities Provide technical support and troubleshooting for Big Data applications and systems built on the Hadoop ecosystem Monitor system performance, analyze logs, and identify potential issues before they impact services Collaborate with engineering teams to deploy and configure Hadoop clusters and related components Assist in maintenance and upgrades of Hadoop environments to ensure optimum performance and security Develop and maintain documentation for processes, procedures, and system configurations Implement data backup and recovery procedures to ensure data integrity and availability Participate in on-call rotations to provide after-hours support as needed Stay up to date with Hadoop technologies and support methodologies Assist in the training and onboarding of new team members and users on Hadoop best practices Requirements Bachelor's degree in Computer Science, Information Technology, or a related field 3+ years of experience in Big Data support or system administration, specifically with the Hadoop ecosystem Strong understanding of Hadoop components (HDFS, MapReduce, Hive, Pig, etc.) Experience with system monitoring and diagnostics tools Proficient in Linux/Unix commands and scripting languages (Bash, Python) Basic understanding of database technologies and data warehousing concepts Strong problem-solving skills and ability to work under pressure Excellent communication and interpersonal skills Ability to work independently as well as collaboratively in a team environment Willingness to learn new technologies and enhance skills Skills: Hadoop, spark/scala, HDFS, SQL, Unix Scripting, Data Backup, System Monitoring Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

Responsibilities Design, develop, and implement robust Big Data solutions using technologies such as Hadoop, Spark, and NoSQL databases Build and maintain scalable data pipelines for effective data ingestion, transformation, and analysis Collaborate with data scientists, analysts, and cross-functional teams to understand business requirements and translate them into technical solutions Ensure data quality and integrity through effective validation, monitoring, and troubleshooting techniques Optimize data processing workflows for maximum performance and efficiency Stay up-to-date with evolving Big Data technologies and methodologies to enhance existing systems Implement best practices for data governance, security, and compliance Document technical designs, processes, and procedures to support knowledge sharing across teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field 4+ years of experience as a Big Data Engineer or in a similar role Strong proficiency in Big Data technologies (Hadoop, Spark, Hive, Pig) and frameworks Extensive experience with programming languages such as Python, Scala, or Java Knowledge of data modeling and data warehousing concepts Familiarity with NoSQL databases like Cassandra or MongoDB Proficient in SQL for data querying and analysis Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to work independently and effectively in a fast-paced environment Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

Responsibilities Monitor and support Java-based applications in a production environment to ensure optimal performance and availability Investigate and resolve production issues in a timely manner to minimize downtime Collaborate with development teams to understand application architecture and perform troubleshooting Implement and maintain monitoring tools to proactively identify potential issues Document production incidents, resolutions, and processes to improve knowledge sharing Assist in the deployment of new releases and upgrades to production systems Participate in on-call rotation to provide 24/7 support for critical applications Requirements Bachelor's degree in Computer Science, Engineering, or a related field 4+ years of experience in Java application support and troubleshooting Strong knowledge of Java SE/EE, Spring Framework, and related technologies Experience with application servers such as Tomcat, JBoss, or WebSphere Familiarity with database systems such as MySQL or Oracle Experience with monitoring tools and techniques for production environments Strong problem-solving and analytical skills Good communication and teamwork abilities Ability to work under pressure and handle multiple issues simultaneously Experience in version control systems like Git Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

Job Overview: We are looking for a talented Business Analyst with expertise in Hadoop technologies and a strong background in the banking domain. The ideal candidate will play a crucial role in bridging the gap between business needs and technology solutions, ensuring optimal use of data resources to drive banking operations and decision-making. As a Business Analyst, you will work alongside cross-functional teams to gather requirements, analyze data, and contribute to data-driven decision-making processes. Key Responsibilities: Gather and document business requirements related to banking operations, including data processing, reporting, and analytics needs Analyze and interpret large volumes of data using Hadoop and related technologies to uncover insights that support business objectives Collaborate with data engineers and developers to translate business needs into technical specifications Design data models and optimize existing data structures to improve data quality and accessibility Facilitate meetings and workshops with stakeholders to ensure alignment on project goals and deliverables Conduct user acceptance testing (UAT) to ensure that solutions meet business and regulatory requirements Monitor and report on project progress, addressing any issues that may arise during the project lifecycle Educate stakeholders on Hadoop technology and its applications in banking Key Skills & Competencies: Strong knowledge of Hadoop ecosystem (HDFS, Hive, Pig, Spark, etc.) and its application in data analytics Experience with data mining, data modeling, and data visualization tools Excellent analytical and problem-solving skills Strong communication skills, capable of presenting complex data insights to non-technical stakeholders Ability to adapt to a fast-paced environment and manage multiple tasks simultaneously Requirements Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field Minimum of 8 years of experience as a Business Analyst in the banking or financial services domain Proficiency in Hadoop technologies and a solid understanding of the banking industry Experience with SQL and data visualization tools (e.g., Tableau, Power BI) Understanding of banking regulations and compliance standards Strong project management skills and experience in Agile methodologies

RiskInsight Consulting Pvt Ltd is looking for a Data Analyst with expertise in SQL and HDFS (Hadoop Distributed File System) to join our dynamic team. The selected candidate will play a crucial role in analyzing large datasets and providing actionable insights to drive business decisions. If you are a detail-oriented individual with a passion for data, we want to hear from you! Design, implement, and maintain data pipelines and workflows using HDFS for data management Conduct data extraction, transformation, and loading (ETL) processes using SQL and Hive Perform rigorous data analysis to identify trends, inconsistencies, and insights for stakeholders Collaborate with business units to understand their analytical needs and deliver data-driven insights Create visualizations and generate reports to present findings to both technical and non-technical audiences Ensure data integrity and security throughout all stages of data processing Stay informed about industry advancements in data analysis and contribute to best practices in the field Requirements Bachelor's degree in Computer Science, Data Science, Mathematics, or related field Proven experience in a Data Analyst role with strong expertise in SQL and HDFS Hands-on experience with Hive for querying and analyzing large datasets Familiarity with data visualization tools such as Tableau, Power BI, or similar Excellent problem-solving and analytical skills with the ability to draw meaningful conclusions from data Strong communication skills to effectively share insights with diverse teams Ability to work independently and as part of a team in a fast-paced environment Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

Job Overview: We are looking for a talented Business Analyst with expertise in Hadoop technologies and a strong background in the banking domain. The ideal candidate will play a crucial role in bridging the gap between business needs and technology solutions, ensuring optimal use of data resources to drive banking operations and decision-making. As a Business Analyst, you will work alongside cross-functional teams to gather requirements, analyze data, and contribute to data-driven decision-making processes. Key Responsibilities: Gather and document business requirements related to banking operations, including data processing, reporting, and analytics needs Analyze and interpret large volumes of data using Hadoop and related technologies to uncover insights that support business objectives Collaborate with data engineers and developers to translate business needs into technical specifications Design data models and optimize existing data structures to improve data quality and accessibility Facilitate meetings and workshops with stakeholders to ensure alignment on project goals and deliverables Conduct user acceptance testing (UAT) to ensure that solutions meet business and regulatory requirements Monitor and report on project progress, addressing any issues that may arise during the project lifecycle Educate stakeholders on Hadoop technology and its applications in banking Key Skills & Competencies: Strong knowledge of Hadoop ecosystem (HDFS, Hive, Pig, Spark, etc.) and its application in data analytics Experience with data mining, data modeling, and data visualization tools Excellent analytical and problem-solving skills Strong communication skills, capable of presenting complex data insights to non-technical stakeholders Ability to adapt to a fast-paced environment and manage multiple tasks simultaneously Requirements Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field Minimum of 8 years of experience as a Business Analyst in the banking or financial services domain Proficiency in Hadoop technologies and a solid understanding of the banking industry Experience with SQL and data visualization tools (e.g., Tableau, Power BI) Understanding of banking regulations and compliance standards Strong project management skills and experience in Agile methodologies

Responsibilities Design, develop, and implement robust Big Data solutions using technologies such as Hadoop, Spark, and NoSQL databases Build and maintain scalable data pipelines for effective data ingestion, transformation, and analysis Collaborate with data scientists, analysts, and cross-functional teams to understand business requirements and translate them into technical solutions Ensure data quality and integrity through effective validation, monitoring, and troubleshooting techniques Optimize data processing workflows for maximum performance and efficiency Stay up-to-date with evolving Big Data technologies and methodologies to enhance existing systems Implement best practices for data governance, security, and compliance Document technical designs, processes, and procedures to support knowledge sharing across teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or a related field 4+ years of experience as a Big Data Engineer or in a similar role Strong proficiency in Big Data technologies (Hadoop, Spark, Hive, Pig) and frameworks Extensive experience with programming languages such as Python, Scala, or Java Knowledge of data modeling and data warehousing concepts Familiarity with NoSQL databases like Cassandra or MongoDB Proficient in SQL for data querying and analysis Strong analytical and problem-solving skills Excellent communication and collaboration abilities Ability to work independently and effectively in a fast-paced environment Benefits Competitive salary and benefits package. Opportunity to work on cutting-edge technologies and solve complex challenges. Dynamic and collaborative work environment with opportunities for growth and career advancement. Regular training and professional development opportunities.

Brief About Us Riskinsight Consulting was established in India in September 2018 and it is a subsidiary of Unison Consulting. Its core purpose is to offer cutting-edge solutions in a wide range of areas. Riskinsight mission is to empower companies through our insurance and financial services. We provide a wide range of risk management consulting services. Our experts are available to assist with credit, market and liquidity, insurance, regulatory risk management, statistical behavioral modeling, and regulatory risk management. Consulting services are provided to help clients implement risk management systems and risk analytics systems for their institutions. We offer a complete range of services, including techno-functional consulting, system integration, business intelligence, information administration, and custom development IT solutions. Our clients are insured and financial institution Basel 3 Reforms Credit Risk regulations knowledge Good communication skills MAS / HKMA / BNM regulation Moody's Risk Authority(RAY) (experience in converting regulations into system requirements) Worked in KPMG / PWC / other big consultancy firms is preferred

Key Responsibilities: Design, develop, and maintain robust, scalable web applications using React.js and Node.js Collaborate with cross-functional teams including designers, backend developers, and QA Implement responsive user interfaces and ensure performance optimization Build RESTful APIs and integrate third-party services Ensure code quality through unit testing and code reviews Troubleshoot and resolve issues across the full stack Participate in Agile/Scrum development cycles Maintain documentation for code, processes, and systems Banking Domain Technical Skills Required: Front-End: React.js, Redux, JavaScript (ES6+), HTML5, CSS3, Bootstrap or Tailwind CSS Back-End: Node.js, Express.js, RESTful APIs Database: MongoDB, MySQL, or any other relational/non-relational DB Version Control: Git, GitHub/GitLab/Bitbucket Others: Experience with Docker, CI/CD pipelines, and basic DevOps practices is a plus

Please find jd below for GiS Developer Experience check list for Small World Magic Developer Experience in creating High level design Experience in GIS Upgrade from 4.X to 5.X version Architectural understanding (could have played a architect lead role) in past Experience in Kubernetes, (is an added value, not critical, but good to have) Interface expertise between 2 systems (e.g SOAP interface)- Most of the development scope could be in making interfaces to connect 2 systems (GE advised GIS adapter interface not compatible with Oracle Fusion.) PTI Interface expertise SBI experience Experience in particular to Utility GIS Development