210 Datahub Jobs - Page 3

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in Guidewire testing at PwC will specialise in testing and quality assurance activities related to Guidewire applications. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for confirming that the Guidewire applications meet the desired quality standards and perform as expected. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples Of The Skills, Knowledge, And Experiences You Need To Lead And Deliver Value At This Level Include But Are Not Limited To: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. PwC Acceleration Center - Guidewire Testing - Associate/Senior Associate Job Description AC Recruiting Details Staff Levels – Associate Years of Experience - 3 to 5 year of experience Education Qualification: BTech/BE/MTech/MS/MCA Skills: Candidates should have Guidewire/ any Property & Casualty insurance product/Automation/manual/ETL testing experience. Candidates should be open to work in shifts Candidate should have good communication skills and be a quick learner Candidate with Automation skill is plus Candidate with Web Services testing skills is plus Candidate with Database testing knowledge is plus Candidate with DataHub and InfoCenter knowledge is plus Scrum or SAFe or other Agile delivery ways Excellent communication skills (verbal and written), good interpersonal skills, ability to understand/expand requirements & technical specs Analyze client requirements Review estimates and suggest updates Complete design and execute test cases in a timely fashion Support development team and client queries Participate in scrum calls and provide status reports Take part in CoE activities, trainings, recruitments as required and interested

A career within Functional and Industry Technologies services will provide you with the opportunity to build secure and new digital experiences for customers, employees, and suppliers. We focus on improving apps or developing new apps for traditional and mobile devices as well as conducting usability testing to find ways to improve our clients’ user experience. As part of our team, you’ll help clients harness technology systems in financial services focusing on areas such as insurance, sales performance management, retirement and pension, asset management, and banking & capital markets. To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future. Responsibilities As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self awareness, personal strengths and address development areas. Delegate to others to provide stretch opportunities, coaching them to deliver results. Demonstrate critical thinking and the ability to bring order to unstructured problems. Use a broad range of tools and techniques to extract insights from current industry or sector trends. Review your work and that of others for quality, accuracy and relevance. Know how and when to use tools available for a given situation and can explain the reasons for this choice. Seek and embrace opportunities which give exposure to different situations, environments and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Years of Experience - 2 to 5 year of experience Education Qualification: BTech/BE/MTech/MS/MCA Preferred Skill Set/Roles and Responsibility - Hands on Experience in P&C Insurance on Guidewire DataHub/InfoCenter Platform. Experience in mapping Guidewire Insurance Suite of products (PC/BC/CC/CM) to DHIC. Works with business in identifying detailed analytical and operational reporting/extracts requirements. Able to create Microsoft SQL / ETL / SSIS complex queries. Participates in Sprint development, test, and integration activities. Creates detailed source to target mappings. Creates and validates data dictionaries Writes and validates data translation and migration scripts. Communicating with business to gather business requirements. Performs GAP analysis between existing (legacy) and new (GW) data related solutions. Working with Informatica ETL devs. Knowledge of Cloud AWS

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in Guidewire testing at PwC will specialise in testing and quality assurance activities related to Guidewire applications. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for confirming that the Guidewire applications meet the desired quality standards and perform as expected. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples Of The Skills, Knowledge, And Experiences You Need To Lead And Deliver Value At This Level Include But Are Not Limited To: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. PwC Acceleration Center - Guidewire Testing - Associate/Senior Associate Job Description AC Recruiting Details Staff Levels – Associate Years of Experience - 3 to 5 year of experience Education Qualification: BTech/BE/MTech/MS/MCA Skills: Candidates should have Guidewire/ any Property & Casualty insurance product/Automation/manual/ETL testing experience. Candidates should be open to work in shifts Candidate should have good communication skills and be a quick learner Candidate with Automation skill is plus Candidate with Web Services testing skills is plus Candidate with Database testing knowledge is plus Candidate with DataHub and InfoCenter knowledge is plus Scrum or SAFe or other Agile delivery ways Excellent communication skills (verbal and written), good interpersonal skills, ability to understand/expand requirements & technical specs Analyze client requirements Review estimates and suggest updates Complete design and execute test cases in a timely fashion Support development team and client queries Participate in scrum calls and provide status reports Take part in CoE activities, trainings, recruitments as required and interested

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in Guidewire testing at PwC will specialise in testing and quality assurance activities related to Guidewire applications. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for confirming that the Guidewire applications meet the desired quality standards and perform as expected. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. AC Recruiting Details Staff Levels – Associate Years of Experience - 2 to 5 year of experience Overview - A career in Insurance Transformation and Modernization using cutting-edge technologies for ETL aimed to solve our client’s most critical business challenges. You will play a vital role in improving operational efficiency, enhancing customer experience, and enabling innovation through the implementation of advanced technologies and streamlined workflows. You will work closely with cross-functional teams, assess current systems, analyze and design the future state system, develop modernization strategies, and oversee the successful execution of transformation projects. Roles and responsibilities - Analyze client requirements Review estimates and suggest updates Complete design and execute teste cases in a timely fashion Support developement team and client queries Participate in scrum calls and provide status reports Take part in CoE activities, trainings, recruitments as required and interested Preferred Skill Set - Candidate should have Guidewire Property & Casualty insurance product (PC, BC or CC) , ETL / Migration Testing experience. Candidate should possess strong ETL , Migration Testing with SQL experience. Candidate with DataHub and InfoCenter knowledge is a plus Candidate with Webservices testing / API testing skills is a plus Candidate with Automation testing knowledge is a plus Candidates should be open to work in shifts Candidate should have good communication skills and be a quick learner Candidate should have overall 3 to 7 years of experience Education Qualification - BTech/BE/MTech/MS/MCA/MBA

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are an accomplished data professional with a passion for leveraging technology to generate actionable insights and drive business outcomes. You thrive in dynamic, collaborative environments and are eager to tackle complex problems using advanced data engineering, analytics, and machine learning techniques. Your curiosity drives you to stay abreast of the latest advancements in AI and generative technologies, and you are always looking for innovative ways to apply them in real-world scenarios. You bring not only technical expertise but also a deep understanding of business processes and stakeholder needs. You are adept at translating raw data into meaningful intelligence that empowers decision-makers. Your commitment to excellence is matched by your methodical approach to problem-solving and your ability to communicate technical concepts clearly to both technical and non-technical audiences. You value diversity and inclusivity, recognizing that the best solutions emerge from varied perspectives. Whether working independently or as part of a global team, you exhibit adaptability, resilience, and a drive for continuous learning. You are motivated by the opportunity to help shape the future of data platforms at Synopsys, and you are ready to make a significant impact on our enterprise data ecosystem. What You’ll Be Doing: Lead and develop data models, structures, algorithms, and transformation processes to enable data-driven decision-making across the organization. Design, develop, and deploy robust, scalable AI/Generative AI and machine learning algorithms, including Large Language Models (LLMs). Collaborate with cross-functional teams to shape the design and direction of Synopsys’ Enterprise Data Platform. Work end-to-end on data products: from problem analysis to data pipeline (ELT/ETL) design, dimensional modeling, and advanced visualizations. Provide expert support and guidance to business users, including preparing data for predictive and prescriptive modeling. Champion best practices in data management, ensuring consistency of process, usage, and data integrity. Evaluate and recommend new data tools and processes to enhance platform capabilities and user experience. Analyze, design, configure, develop, test, and document new projects, enhancements, and ongoing production support for enterprise applications. Deliver day-to-day production support to internal business units, collaborating with users to implement enhancements and resolve issues. Maintain a strong awareness of emerging trends in AI, Generative AI, and machine learning, seeking opportunities to innovate and enhance existing systems. The Impact You Will Have: Drive data-driven decision-making by delivering reliable, scalable data solutions for business stakeholders. Accelerate Synopsys’ adoption of cutting-edge AI and machine learning technologies to solve complex business challenges. Enhance the value and usability of enterprise data through innovative modeling, transformation, and visualization techniques. Improve operational efficiency by automating data flows and streamlining analytics processes. Empower teams with actionable insights that inform strategy, product development, and customer engagement. Set new standards for data quality, governance, and integrity within a global technology leader. Foster a culture of continuous improvement and learning by introducing advanced data tools and methodologies. Strengthen Synopsys’ competitive advantage through rapid, informed decision-making and predictive analytics. What You’ll Need: BS with 5+ years of relevant experience, or MS with 3+ years in Computer Science, Mathematics, Engineering, or MIS. Deep expertise in Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA). Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery), transformation tools (dbt), and cloud providers (Azure, AWS). Proficiency with ingestion tools (e.g., Fivetran, HVR, Airbyte), CICD (Gitlab, Kubernetes, Airflow), and data catalog tools (Datahub, Atlan). Ability to develop custom BI products using scripting languages (Python, Unix, SQL, Scala, Java); experience with Tableau and PowerBI is a plus. Strong understanding of business requirements in BI contexts and expertise in designing data models for actionable insights. Knowledge of data governance, data integrity, and data quality best practices, as well as agile development methodologies. Experience in writing comprehensive functional and technical documentation. Who You Are: Methodical problem-solver with a passion for data, technology, and learning. Motivated team player with excellent interpersonal and organizational skills. Effective communicator, able to convey complex ideas to varied audiences. Adaptable and resilient, thriving in a global, diverse team or working autonomously. Innovative thinker who actively seeks opportunities to leverage emerging technologies. The Team You’ll Be A Part Of: You will join the Business Applications team, a dynamic group focused on building and optimizing Synopsys’ Enterprise Data Platform. Our team values collaboration, innovation, and continuous learning, working together to deliver data solutions that empower every facet of our global organization. We foster an inclusive environment where diverse perspectives drive creative problem-solving and technological advancement. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: Does architecting high quality and scalable data pipelines powering business critical applications excite you? How about working with cutting edge technologies alongside some of the brightest and most collaborative individuals in the industry? Join us, in our mission to bring the best learning to every corner of the world! We're looking for a passionate and talented individual with a keen eye for data to join the Data Engineering team at Coursera! Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera. In addition, Data Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction. You firmly believe in Coursera's potential to make a significant impact on the world, and align with our core values: Learners first: Champion the needs, potential, and progress of learners everywhere. Play for team Coursera: Excel as an individual and win as a team. Put Coursera's mission and results before personal goals. Maximize impact: Increase leverage by focusing on things that produce bigger results with less effort. Learn, change, and grow: Move fast, take risks, innovate, and learn quickly. Invite and offer feedback with respect, courage, and candor. Love without limits: Celebrate the diversity and dignity of every one of our employees, learners, customers, and partners. Your responsibilities Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark. Your work will lay the foundation for our data-driven culture. Design, build, and launch self-serve analytics products. Your creations will empower our internal and external customers, providing them with rich insights to make informed decisions. Be a technical leader for the team. Your guidance in technical and architectural designs for major team initiatives will inspire others. Help shape the future of Data Engineering at Coursera and foster a culture of continuous learning and growth. Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. Develop new tools and frameworks in collaboration with other engineers. Your innovative solutions will enable our customers to understand and access data more efficiently, while adhering to high standards of governance and compliance. Work cross-functionally with product managers, engineers, and business teams to enable major product and feature launches. Your skills 5+ years experience in data engineering with expertise in data architecture and pipelines Strong programming skills in Python Proficient with relational databases, data modeling, and SQL Experience with big data technologies (eg: Hive, Spark, Presto) Familiarity with batch and streaming architectures preferred Hands-on experience with some of: AWS, Databricks, Delta Lake, Airflow, DBT, Redshift, Datahub, Elementary Knowledgeable on data governance and compliance best practices Ability to communicate technical concepts clearly and concisely Independence and passion for innovation and learning new technologies If this opportunity interest you, you might like these courses on Coursera - Big Data Specialization Data Warehousing for Business Intelligence IBM Data Engineering Professional Certificate Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera's platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: Does architecting high quality and scalable data pipelines powering business critical applications excite you? How about working with cutting edge technologies alongside some of the brightest and most collaborative individuals in the industry? Join us, in our mission to bring the best learning to every corner of the world! We're looking for a passionate and talented individual with a keen eye for data to join the Data Engineering team at Coursera! Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera. In addition, Data Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction. You firmly believe in Coursera's potential to make a significant impact on the world, and align with our core values: Learners first: Champion the needs, potential, and progress of learners everywhere. Play for team Coursera: Excel as an individual and win as a team. Put Coursera's mission and results before personal goals. Maximize impact: Increase leverage by focusing on things that produce bigger results with less effort. Learn, change, and grow: Move fast, take risks, innovate, and learn quickly. Invite and offer feedback with respect, courage, and candor. Love without limits: Celebrate the diversity and dignity of every one of our employees, learners, customers, and partners. Your responsibilities Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark. Your work will lay the foundation for our data-driven culture. Design, build, and launch self-serve analytics products. Your creations will empower our internal and external customers, providing them with rich insights to make informed decisions. Be a technical leader for the team. Your guidance in technical and architectural designs for major team initiatives will inspire others. Help shape the future of Data Engineering at Coursera and foster a culture of continuous learning and growth. Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. Develop new tools and frameworks in collaboration with other engineers. Your innovative solutions will enable our customers to understand and access data more efficiently, while adhering to high standards of governance and compliance. Work cross-functionally with product managers, engineers, and business teams to enable major product and feature launches. Your skills 5+ years experience in data engineering with expertise in data architecture and pipelines Strong programming skills in Python Proficient with relational databases, data modeling, and SQL Experience with big data technologies (eg: Hive, Spark, Presto) Familiarity with batch and streaming architectures preferred Hands-on experience with some of: AWS, Databricks, Delta Lake, Airflow, DBT, Redshift, Datahub, Elementary Knowledgeable on data governance and compliance best practices Ability to communicate technical concepts clearly and concisely Independence and passion for innovation and learning new technologies If this opportunity interest you, you might like these courses on Coursera - Big Data Specialization Data Warehousing for Business Intelligence IBM Data Engineering Professional Certificate Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are an accomplished data professional with a passion for leveraging technology to generate actionable insights and drive business outcomes. You thrive in dynamic, collaborative environments and are eager to tackle complex problems using advanced data engineering, analytics, and machine learning techniques. Your curiosity drives you to stay abreast of the latest advancements in AI and generative technologies, and you are always looking for innovative ways to apply them in real-world scenarios. You bring not only technical expertise but also a deep understanding of business processes and stakeholder needs. You are adept at translating raw data into meaningful intelligence that empowers decision-makers. Your commitment to excellence is matched by your methodical approach to problem-solving and your ability to communicate technical concepts clearly to both technical and non-technical audiences. You value diversity and inclusivity, recognizing that the best solutions emerge from varied perspectives. Whether working independently or as part of a global team, you exhibit adaptability, resilience, and a drive for continuous learning. You are motivated by the opportunity to help shape the future of data platforms at Synopsys, and you are ready to make a significant impact on our enterprise data ecosystem. What You’ll Be Doing: Lead and develop data models, structures, algorithms, and transformation processes to enable data-driven decision-making across the organization. Design, develop, and deploy robust, scalable AI/Generative AI and machine learning algorithms, including Large Language Models (LLMs). Collaborate with cross-functional teams to shape the design and direction of Synopsys’ Enterprise Data Platform. Work end-to-end on data products: from problem analysis to data pipeline (ELT/ETL) design, dimensional modeling, and advanced visualizations. Provide expert support and guidance to business users, including preparing data for predictive and prescriptive modeling. Champion best practices in data management, ensuring consistency of process, usage, and data integrity. Evaluate and recommend new data tools and processes to enhance platform capabilities and user experience. Analyze, design, configure, develop, test, and document new projects, enhancements, and ongoing production support for enterprise applications. Deliver day-to-day production support to internal business units, collaborating with users to implement enhancements and resolve issues. Maintain a strong awareness of emerging trends in AI, Generative AI, and machine learning, seeking opportunities to innovate and enhance existing systems. The Impact You Will Have: Drive data-driven decision-making by delivering reliable, scalable data solutions for business stakeholders. Accelerate Synopsys’ adoption of cutting-edge AI and machine learning technologies to solve complex business challenges. Enhance the value and usability of enterprise data through innovative modeling, transformation, and visualization techniques. Improve operational efficiency by automating data flows and streamlining analytics processes. Empower teams with actionable insights that inform strategy, product development, and customer engagement. Set new standards for data quality, governance, and integrity within a global technology leader. Foster a culture of continuous improvement and learning by introducing advanced data tools and methodologies. Strengthen Synopsys’ competitive advantage through rapid, informed decision-making and predictive analytics. What You’ll Need: BS with 5+ years of relevant experience, or MS with 3+ years in Computer Science, Mathematics, Engineering, or MIS. Deep expertise in Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA). Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery), transformation tools (dbt), and cloud providers (Azure, AWS). Proficiency with ingestion tools (e.g., Fivetran, HVR, Airbyte), CICD (Gitlab, Kubernetes, Airflow), and data catalog tools (Datahub, Atlan). Ability to develop custom BI products using scripting languages (Python, Unix, SQL, Scala, Java); experience with Tableau and PowerBI is a plus. Strong understanding of business requirements in BI contexts and expertise in designing data models for actionable insights. Knowledge of data governance, data integrity, and data quality best practices, as well as agile development methodologies. Experience in writing comprehensive functional and technical documentation. Who You Are: Methodical problem-solver with a passion for data, technology, and learning. Motivated team player with excellent interpersonal and organizational skills. Effective communicator, able to convey complex ideas to varied audiences. Adaptable and resilient, thriving in a global, diverse team or working autonomously. Innovative thinker who actively seeks opportunities to leverage emerging technologies. The Team You’ll Be A Part Of: You will join the Business Applications team, a dynamic group focused on building and optimizing Synopsys’ Enterprise Data Platform. Our team values collaboration, innovation, and continuous learning, working together to deliver data solutions that empower every facet of our global organization. We foster an inclusive environment where diverse perspectives drive creative problem-solving and technological advancement. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

Category Data Science Hire Type Employee Job ID 12418 Remote Eligible No Date Posted 13/08/2025 We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: You are an accomplished data professional with a passion for leveraging technology to generate actionable insights and drive business outcomes. You thrive in dynamic, collaborative environments and are eager to tackle complex problems using advanced data engineering, analytics, and machine learning techniques. Your curiosity drives you to stay abreast of the latest advancements in AI and generative technologies, and you are always looking for innovative ways to them in real-world scenarios. You bring not only technical expertise but also a deep understanding of business processes and stakeholder needs. You are adept at translating raw data into meaningful intelligence that empowers decision-makers. Your commitment to excellence is matched by your methodical approach to problem-solving and your ability to communicate technical concepts clearly to both technical and non-technical audiences. You value diversity and inclusivity, recognizing that the best solutions emerge from varied perspectives. Whether working independently or as part of a global team, you exhibit adaptability, resilience, and a drive for continuous learning. You are motivated by the opportunity to help shape the future of data platforms at Synopsys, and you are ready to make a significant impact on our enterprise data ecosystem. What You’ll Be Doing: Lead and develop data models, structures, algorithms, and transformation processes to enable data-driven decision-making across the organization. Design, develop, and deploy robust, scalable AI/Generative AI and machine learning algorithms, including Large Language Models (LLMs). Collaborate with cross-functional teams to shape the design and direction of Synopsys’ Enterprise Data Platform. Work end-to-end on data products: from problem analysis to data pipeline (ELT/ETL) design, dimensional modeling, and advanced visualizations. Provide expert support and guidance to business users, including preparing data for predictive and prescriptive modeling. Champion best practices in data management, ensuring consistency of process, usage, and data integrity. Evaluate and recommend new data tools and processes to enhance platform capabilities and user experience. Analyze, design, configure, develop, test, and document new projects, enhancements, and ongoing production support for enterprise applications. Deliver day-to-day production support to internal business units, collaborating with users to implement enhancements and resolve issues. Maintain a strong awareness of emerging trends in AI, Generative AI, and machine learning, seeking opportunities to innovate and enhance existing systems. The Impact You Will Have: Drive data-driven decision-making by delivering reliable, scalable data solutions for business stakeholders. Accelerate Synopsys’ adoption of cutting-edge AI and machine learning technologies to solve complex business challenges. Enhance the value and usability of enterprise data through innovative modeling, transformation, and visualization techniques. Improve operational efficiency by automating data flows and streamlining analytics processes. Empower teams with actionable insights that inform strategy, product development, and customer engagement. Set new standards for data quality, governance, and integrity within a global technology leader. Foster a culture of continuous improvement and learning by introducing advanced data tools and methodologies. Strengthen Synopsys’ competitive advantage through rapid, informed decision-making and predictive analytics. What You’ll Need: BS with 5+ years of relevant experience, or MS with 3+ years in Computer Science, Mathematics, Engineering, or MIS. Deep expertise in Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA). Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery), transformation tools (dbt), and cloud providers (Azure, AWS). Proficiency with ingestion tools (e.g., Fivetran, HVR, Airbyte), CICD (Gitlab, Kubernetes, Airflow), and data catalog tools (Datahub, Atlan). Ability to develop custom BI products using scripting languages (Python, Unix, SQL, Scala, Java); experience with Tableau and PowerBI is a plus. Strong understanding of business requirements in BI contexts and expertise in designing data models for actionable insights. Knowledge of data governance, data integrity, and data quality best practices, as well as agile development methodologies. Experience in writing comprehensive functional and technical documentation. Who You Are: Methodical problem-solver with a passion for data, technology, and learning. Motivated team player with excellent interpersonal and organizational skills. Effective communicator, able to convey complex ideas to varied audiences. Adaptable and resilient, thriving in a global, diverse team or working autonomously. Innovative thinker who actively seeks opportunities to leverage emerging technologies. The Team You’ll Be A Part Of: You will join the Business Applications team, a dynamic group focused on building and optimizing Synopsys’ Enterprise Data Platform. Our team values collaboration, innovation, and continuous learning, working together to deliver data solutions that empower every facet of our global organization. We foster an inclusive environment where diverse perspectives drive creative problem-solving and technological advancement. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process. At Synopsys, we want talented people of every background to feel valued and supported to do their best work. Synopsys considers all applicants for employment without regard to race, color, religion, national origin, gender, sexual orientation, age, military veteran status, or disability.

Incident Management Log and prioritize incidents based on business impact. Investigate, diagnose, and resolve issues, ensuring timely updates in the ticketing system. Monitor incident queues and ensure SLA compliance. Maintain historical records to support future issue resolution. Service Request Management Analyze and fulfill service requests within defined SLA timelines. Escalate to appropriate support teams when necessary. Update request statuses and communicate resolutions clearly. Coordinate change or release management activities, as required. Problem Management Identify recurring issues through pattern analysis. Conduct Root Cause Analysis (RCA) and document findings. Work with stakeholders to implement permanent fixes. Maintain and enhance SOPs for efficient operations. Monitoring & Reporting Conduct routine health checks and job monitoring for : SERVFS CRM DataHub Preferred Skills & Tools Hands-on experience with ServiceNow, Remedy, or similar ticketing tools. Strong analytical and troubleshooting capabilities. Excellent communication and stakeholder management skills. Working knowledge of ITIL processes, especially Incident, Request, and Problem Management (ref:hirist.tech)

At PwC, we specialize in consulting services for a variety of business applications to help clients optimize their operational efficiency. As a member of our business application consulting team, you will be responsible for analyzing client needs, implementing software solutions, and providing training and support for seamless integration and utilization of business applications. Your focus will be on enabling clients to achieve their strategic objectives through effective utilization of technology. In the realm of Guidewire testing at PwC, you will specialize in testing and quality assurance activities related to Guidewire applications. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. Your role will involve confirming that Guidewire applications meet the desired quality standards and perform as expected, ensuring a smooth user experience for clients. Driven by curiosity and a commitment to excellence, you will be an essential member of a dynamic team. In our fast-paced environment, you will have the opportunity to work with a diverse range of clients and team members, each presenting unique challenges and opportunities for growth. By taking ownership of your work and consistently delivering high-quality results, you will contribute to the success of our clients and our team, while building a strong personal brand within the Firm. To excel in this role, you will need to apply a learning mindset, appreciate diverse perspectives, and develop habits that sustain high performance. Effective communication, active listening, and a commitment to continuous improvement are essential skills for success. You will also be expected to gather information from various sources, analyze data, and demonstrate a strong understanding of how businesses operate. Joining PwC Acceleration Centers (ACs) presents a unique opportunity to support a range of services, from Advisory to Assurance, Tax, and Business Services. In this role, you will engage in challenging projects, provide innovative solutions for client engagements, and participate in training programs designed to enhance your technical and professional skills. As an Associate with 2 to 5 years of experience, you will play a vital role in Insurance Transformation and Modernization using cutting-edge technologies for ETL. Your responsibilities will include analyzing client requirements, reviewing estimates, designing and executing test cases, supporting development teams, and participating in CoE activities. Preferred skill sets for this role include Guidewire Property & Casualty insurance product knowledge, ETL/Migration Testing experience, strong SQL skills, familiarity with DataHub and InfoCenter, Webservices testing/API testing capabilities, automation testing knowledge, and excellent communication skills. If you have 3 to 7 years of experience in the field and hold a qualification such as BTech/BE/MTech/MS/MCA/MBA, we invite you to explore this exciting opportunity to drive innovation and transformation in the insurance industry.,

We Are: At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation. You Are: As a Data Science Staff member located in Hyderabad, you are a visionary with a passion for data engineering and analytics. You thrive in dynamic environments and are motivated by the challenge of building robust data infrastructure. Your expertise in data modeling, algorithm development, and data pipeline construction is complemented by your ability to derive actionable insights from complex datasets. You possess a deep understanding of modern data stack tools and have hands-on experience with cloud data warehouses, transformation tools, and data ingestion technologies. Your technical acumen is matched by your ability to collaborate effectively with cross-functional teams, providing support and guidance to business users. You stay ahead of the curve by continuously exploring advancements in AI, Generative AI, and machine learning, seeking opportunities to integrate these innovations into your work. Your commitment to best practices in data management and your proficiency in various scripting languages and visualization tools make you an invaluable asset to our team. What You’ll Be Doing: Building the data engineering and analytics infrastructure for our new Enterprise Data Platform using Snowflake and Fivetran. Leading the development of data models, algorithms, data pipelines, and insights to enable data-driven decision-making. Collaborating with team members to shape the design and direction of the data platform. Working end-to-end on data products, from problem understanding to developing data pipelines, dimensional data models, and visualizations. Providing support and advice to business users, including data preparation for predictive and prescriptive modeling. Ensuring consistency of processes and championing best practices in data management. Evaluating and recommending new data tools or processes. Designing, developing, and deploying scalable AI/Generative AI and machine learning models as needed. Providing day-to-day production support to internal business unit customers, implementing enhancements and resolving defects. Maintaining awareness of emerging trends in AI, Generative AI, and machine learning to enhance existing systems and develop innovative solutions. The Impact You Will Have: Driving the development of a cutting-edge data platform that supports enterprise-wide data initiatives. Enabling data-driven decision-making across the organization through robust data models and insights. Enhancing the efficiency and effectiveness of data management processes. Supporting business users in leveraging data for predictive and prescriptive analytics. Innovating and integrating advanced AI and machine learning solutions to solve complex business challenges. Contributing to the overall success of Synopsys by ensuring high-quality data infrastructure and analytics capabilities. What You’ll Need: BS with 5+ years of relevant experience or MS with 3+ years of relevant experience in Computer Sciences, Mathematics, Engineering, or MIS. 5 years of experience in DW/BI development, reporting, and analytics roles, working with business and key stakeholders. Advanced knowledge of Data Warehousing, SQL, ETL/ELT, dimensional modeling, and databases (e.g., mySQL, Postgres, HANA). Hands-on experience with modern data stack tools, including cloud data warehouses (Snowflake), transformation tools (dbt), and cloud providers (Azure, AWS). Experience with data ingestion tools (e.g., Fivetran, HVR, Airbyte), CI/CD (GitLab, Kubernetes, Airflow), and data catalog tools (e.g., Datahub, Atlan) is a plus. Proficiency in scripting languages like Python, Unix, SQL, Scala, and Java for data extraction and exploration. Experience with visualization tools like Tableau and PowerBI is a plus. Knowledge of machine learning frameworks and libraries (e.g., Pandas, NumPy, TensorFlow, PyTorch) and LLM models is a plus. Understanding of data governance, data integrity, and data quality best practices. Experience with agile development methodologies and change control processes. Who You Are: You are a collaborative and innovative problem-solver with a strong technical background. Your ability to communicate effectively with diverse teams and stakeholders is complemented by your analytical mindset and attention to detail. You are proactive, continuously seeking opportunities to leverage new technologies and methodologies to drive improvements. You thrive in a fast-paced environment and are committed to delivering high-quality solutions that meet business needs. The Team You’ll Be A Part Of: You will join the Business Applications team, a dynamic group focused on building and maintaining the data infrastructure that powers our enterprise-wide analytics and decision-making capabilities. The team is dedicated to innovation, collaboration, and excellence, working together to drive the success of Synopsys through cutting-edge data solutions. Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in Guidewire testing at PwC will specialise in testing and quality assurance activities related to Guidewire applications. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for confirming that the Guidewire applications meet the desired quality standards and perform as expected. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Examples Of The Skills, Knowledge, And Experiences You Need To Lead And Deliver Value At This Level Include But Are Not Limited To: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. PwC Acceleration Center - Guidewire Testing - Associate/Senior Associate Job Description AC Recruiting Details Staff Levels – Associate Years of Experience - 3 to 5 year of experience Education Qualification: BTech/BE/MTech/MS/MCA Skills: Candidates should have Guidewire/ any Property & Casualty insurance product/Automation/manual/ETL testing experience. Candidates should be open to work in shifts Candidate should have good communication skills and be a quick learner Candidate with Automation skill is plus Candidate with Web Services testing skills is plus Candidate with Database testing knowledge is plus Candidate with DataHub and InfoCenter knowledge is plus Scrum or SAFe or other Agile delivery ways Excellent communication skills (verbal and written), good interpersonal skills, ability to understand/expand requirements & technical specs Analyze client requirements Review estimates and suggest updates Complete design and execute test cases in a timely fashion Support development team and client queries Participate in scrum calls and provide status reports Take part in CoE activities, trainings, recruitments as required and interested

Job Summary: We are seeking an experienced and visionary Data Modeler/Enterprise Data Architect to lead the design, governance, and implementation of enterprise-wide data solutions aligned with the client’s Data & Analytics Strategy. This role will oversee the definition, management, and usage of business data assets to enhance strategic decision-making, maximize value from data, and enable secure and scalable data environments. Key Responsibilities: Drive and influence the client’s enterprise Data & Analytics Strategy in alignment with business goals. Design and optimize data architecture solutions , including data warehouse design using dimensional modeling , data vault , star , and snowflake schemas . Rapidly adapt and revise designs as needed, providing clear rationale and justifications. Create and maintain data models using tools such as Microsoft Visio or Erwin . Prepare comprehensive mapping documents and collaborate with ETL and QA/testing teams to support successful implementation. Collaborate with business stakeholders , solution architects , and project teams to gather and validate data requirements and secure approvals. Manage and lead multiple data initiatives/projects from inception to completion. Prioritize and surface critical data needs to maximize analytics impact. Conduct business data modeling to align technical solutions with organizational needs. Drive enterprise-level data management , governance, and security of analytic assets. Continuously enhance Datahub performance and solution scalability. Required Qualifications & Skills: Bachelor’s or Master’s degree in Computer Science , Information Systems , or a related discipline. Minimum 8 years of IT experience , including 3+ years in data architecture or information system design . Proven expertise in designing and implementing data solutions , including transactional and dimensional modeling (star schema, data vault). Experience working in cross-cultural and multi-disciplinary teams , with strong leadership and people management skills . Hands-on experience with data & analytics governance programs is highly preferred. Ability to assess project and portfolio needs and allocate resources effectively across functions. Strong strategic, analytical, and problem-solving capabilities. High emotional intelligence, resilience, and a collaborative, team-oriented mindset. Ability to communicate complex data solutions effectively and influence stakeholders at all organizational levels. Preferred Traits: Passion for data and a drive to deliver innovative, value-driven solutions. Commitment to business ethics and building meaningful partnerships. A strong interest in contributing to the mission and growth of a leading global investment company .

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a Guidewire developer at PwC, you will specialise in developing and customising applications using the Guidewire platform. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for designing, coding, and testing software solutions that meet the specific needs of insurance organisations. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. As part of the Guidewire Testing team you engage in quality assurance processes to maintain the integrity and functionality of software solutions. As a Senior Associate you analyze complex problems, mentor others, and uphold elevated standards. You focus on building client relationships and developing a deeper understanding of the business context, while navigating increasingly complex situations to grow your personal brand and technical proficiency. Responsibilities Analyze client requirements Review estimates and suggest updates Complete design and execute test cases in a timely fashion Support development team and client queries Participate in scrum calls and provide status reports Take part in CoE activities, trainings, recruitments as required and interested What You Must Have Candidate should have Guidewire/ any Property & Casualty insurance product/Guidewire testing/ Portal/Billing center/Claim center/Rating/Policy center Candidates should be open to work in shifts Candidate should have good communication skills and be a quick learner Candidate with Automation skill is plus Candidate with Webservices testing skills is plus Candidate with Database testing knowledge is plus Candidate with DataHub and InfoCenter knowledge is plus Scrum or SAFe or other Agile delivery ways Excellent communication skills (verbal and written), good interpersonal skills, ability to understand/expand requirements & technical specs What Sets You Apart BTech/BE/MTech/MS/MCA/MBA/B.Sc/M.Sc Developing and maintaining IT systems architecture Evaluating end-to-end integrated systems Recommending action plans for system improvements Utilizing creative thinking and problem-solving skills Building collaborative relationships with clients Providing guidance to less experienced staff Conducting quantitative and qualitative analyses Familiarity with Automation concepts Working experience in implementing Guidewire Suite solutions

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. Those in Guidewire testing at PwC will specialise in testing and quality assurance activities related to Guidewire applications. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for confirming that the Guidewire applications meet the desired quality standards and perform as expected. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills. AC Recruiting Details Staff Levels – Associate Years of Experience - 2 to 5 year of experience Overview - A career in Insurance Transformation and Modernization using cutting-edge technologies for ETL aimed to solve our client’s most critical business challenges. You will play a vital role in improving operational efficiency, enhancing customer experience, and enabling innovation through the implementation of advanced technologies and streamlined workflows. You will work closely with cross-functional teams, assess current systems, analyze and design the future state system, develop modernization strategies, and oversee the successful execution of transformation projects. Roles and responsibilities - Analyze client requirements Review estimates and suggest updates Complete design and execute teste cases in a timely fashion Support developement team and client queries Participate in scrum calls and provide status reports Take part in CoE activities, trainings, recruitments as required and interested Preferred Skill Set - Candidate should have Guidewire Property & Casualty insurance product (PC, BC or CC) , ETL / Migration Testing experience. Candidate should possess strong ETL , Migration Testing with SQL experience. Candidate with DataHub and InfoCenter knowledge is a plus Candidate with Webservices testing / API testing skills is a plus Candidate with Automation testing knowledge is a plus Candidates should be open to work in shifts Candidate should have good communication skills and be a quick learner Candidate should have overall 3 to 7 years of experience Education Qualification - BTech/BE/MTech/MS/MCA/MBA

CONTEXTE Afin d’accompagner sa forte croissance et dans un souci permanent d’améliorer la qualité de ses logiciels, NeoXam recherche un(e) Senior QA Automation Engineer disposant d’une expérience avérée en QA et particulièrement en automatisation de tests chez un éditeur de logiciels ou chez un client final. MISSIONS Au sein de la R&D du produit NX DataHub, en tant que membre de l’équipe QA Automation, vous agissez dans le but d’accroitre la qualité du produit. Vous intervenez sur l’ensemble des activités d’automatisation des tests du produit. Vos principales tâches consisteront à : Concevoir, exécuter, formaliser et automatiser les scenarios de test. Implémenter, maintenir et fiabiliser les différentes suites de tests automatiques. Implémenter et maintenir les frameworks d’automatisation Web basés sur Cucumber, Playwright / Puppeteer, Axios et Node.js. Analyser et reporter les résultats d’exécution des suites. Respecter les normes d’implémentation de l’équipe : normes de codage, utilisation des Frameworks, sécurité, processus de gestion des sources. Déployer le progiciel et installer ses composants sur des serveurs Linux ou sur le cloud. En tant que Senior, votre rôle consistera également à : Assurer l’encadrement technique de vos collègues juniors. Assurer l’administration des chaines Jenkins de continous testing. Enrichir la documentation et la base de connaissances. Vous contribuerez également à la mise en œuvre de l’outillage et des bonnes pratiques permettant l’amélioration continue du fonctionnement de l’équipe, de la qualité du produit et de code des suites. PROFIL BAC + 5, Ecole d’Ingénieur ou équivalent, dans le domaine de l’informatique. 3 ans d’expérience minimum dans un poste similaire. Expertise confirmée en automatisation de test web avec des frameworks tels que Playwright, Puppeteer ou Selenium. Maitrise du langage de formalisation Gherkin et de Cucumber. Maîtrise de Linux, Docker, JSON, Web service REST et d’un langage de Scripting. Maîtrise de SQL, du modèle relationnel, et d’un SGBD tel qu’Oracle, SQL Server ou Postgres. Connaissance des software factories et des outils d’intégration continue tels que Jenkins. Fort esprit d’analyse et de synthèse. Orientation fonctionnelle et expérience utilisateur (UX). Excellente communication orale et écrite, en français et en anglais. Une expérience ou des connaissances en finance de marché seraient un grand atout. Enfin, ténacité, rigueur, dynamisme, flexibilité, esprit d’équipe, qualité d’écoute et bon relationnel vous permettront d’être rapidement efficace et d’évoluer au sein de notre structure. NOUS PROPOSONS Un poste en CDI Un environnement de travail hybride et dynamique. Un package concurrentielle composé de : fixe, bonus et plusieurs avantages Et bien plus…

We are seeking a skilled SAP Basis & SLT Consultant to lead and support data replication, migration, and system integration efforts between SAP and non-SAP environments. You will be responsible for setting up and managing SLT , overseeing data migration, and providing support for Central Finance implementations. This role requires close collaboration with Basis teams and a focus on ensuring a reliable and optimized integration landscape. Roles & Responsibilities: Lead the setup, configuration, and management of SAP Landscape Transformation (SLT) for real-time or batch data replication between SAP and non-SAP systems. Oversee data migration from non-SAP platforms to SAP using SLT, ensuring data integrity and consistency. Plan and execute cutovers and validations during migration activities. Configure, monitor, and optimize SLT-based replication for Central Finance (CFIN) projects. Collaborate with the SAP BASIS team to maintain system health, configuration, and SLT performance tuning. Monitor SLT replication processes and resolve issues related to performance, job failures, and transformation errors. Implement performance improvements and ensure high availability of replication services. Maintain comprehensive technical documentation for SLT configurations, troubleshooting guides, and migration procedures. Follow and enforce SAP best practices for secure and efficient system integrations. Skills Required: Expertise in SLT configuration , data replication setup, and real-time monitoring. Experience in non-SAP to SAP data migrations and Central Finance integrations. Strong knowledge of SAP CFIN architecture and data mapping scenarios. Hands-on experience with Datahub or Magnitude tools for large-scale data movement. Proficiency in system health checks, transport management, and SLT-related troubleshooting. Excellent communication, documentation, and cross-functional collaboration skills. SAP Certification in Basis, SLT, or Central Finance is an added advantage. Experience working in hybrid cloud/on-premise SAP environments is a plus. Exposure to SAP S/4HANA migration projects is a plus. QUALIFICATION: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

A US Based IT MNC is looking to hire a Duck Creek Data Insights Extract Mapper Engineer at various locations including Noida, Gurgaon, Pune, and Bangalore. The ideal candidate should possess a strong skill set in Duck Creek, Data Insight, Extract Mapper, SQL, ETL Process, and Datahub, while having additional experience in Azure, DevOps, or the Insurance Domain would be advantageous. As a Duck Creek Data Insights Extract Mapper Engineer, you will be expected to demonstrate expertise in Duck Creek Insight product, SQL Server, T-SQL, XSL/XSLT, and MSBI. You should have a deep understanding of Duck Creek Extract Mapper solution, including its architecture, manuscripts, operation, and server API. Proficiency in mapping techniques such as Static Value, XPath, and Expression, as well as field-based mapping and error logging, is essential for this role. Moreover, the successful candidate will be required to have a strong grasp of Data Modelling, Data Warehousing, Data Marts, and Business Intelligence to effectively address business challenges. Familiarity with ETL and EDW toolsets within Duck Creek Data Insights, as well as a working knowledge of its product architecture flow, Data hub, and Extract mapper, are key aspects of this position. The key requirements for this role include a minimum of 3 to 5 years of experience working with Duck Creek Insights product, solid technical knowledge of SQL databases and MSBI, and a preference for candidates with experience in the Insurance domain. Previous exposure to Duck Creek Data Insights and specific experience with Duck Creek would be considered advantageous. Additionally, a profound understanding of database structures, data mining, excellent problem-solving skills, and strong written and verbal communication abilities are highly valued. The ideal candidate should also possess excellent organizational and analytical capabilities, be proficient in Agile methodology, and have the ability to work effectively in large teams. If you meet these criteria and are looking to join a dynamic IT MNC, we encourage you to apply for the position of Duck Creek Data Insights Extract Mapper Engineer.,

At PwC, our people in business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. As a Guidewire developer at PwC, you will specialise in developing and customising applications using the Guidewire platform. Guidewire is a software suite that provides insurance companies with tools for policy administration, claims management, and billing. You will be responsible for designing, coding, and testing software solutions that meet the specific needs of insurance organisations. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills Years of Experience - 5 to 10 year of experience Roles and responsibilities - Analyze client requirements Review estimates and suggest updates Complete design and execute teste cases in a timely fashion Support developement team and client queries Participate in scrum calls and provide status reports Take part in CoE activities, trainings, recruitments as required and interested Preferred Skill Set - Candidate should have Guidewire/ any Property & Casualty insurance product/Guidewire testing/ Portal/Billing center/Claim center/Rating/Policy center Candidates should be open to work in shifts Candidate should have good communication skills and be a quick learner Candidate with Automation skill is plus Candidate with Webservices testing skills is plus Candidate with Database testing knowledge is plus Candidate with DataHub and InfoCenter knowledge is plus Scrum or SAFe or other Agile delivery ways Excellent communication skills (verbal and written), good interpersonal skills, ability to understand/expand requirements & technical specs Education Qualification - BTech/BE/MTech/MS/MCA/MBA/B.sc/Msc

A.P. Moller - Maersk A.P. Moller – Maersk is the global leader in container shipping services. The business operates in 130 countries and employs 80,000 staff. An integrated container logistics company, Maersk aims to connect and simplify its customers’ supply chains. Today, we have more than 180 nationalities represented in our workforce across 131 Countries and this mean, we have elevated level of responsibility to continue to build inclusive workforce that is truly representative of our customers and their customers and our vendor partners too. We are responsible for moving 20 % of global trade & is on a mission to become the Global Integrator of Container Logistics. To achieve this, we are transforming into an industrial digital giant by combining our assets across air, land, ocean, and ports with our growing portfolio of digital assets to connect and simplify our customer’s supply chain through global end-to-end solutions, all the while rethinking the way we engage with customers and partners. The Brief As a Senior AI/ML Engineer in our Data & AI Governance team, you’ll build the systems that improve how Maersk detects, manages, and fixes data quality issues at scale while contributing to responsible AI observability and compliance tooling. This is a hands-on engineering role focused on platform-level tooling for data reliability, model traceability, and metadata intelligence. You’ll work across structured and unstructured data, help enforce quality SLAs and contribute to components that support the governance of AI/ML models. The role sits at the intersection of platform engineering, data operations, and applied AI - ideal for someone who enjoys building reusable tools, mentoring others, and making complex systems more reliable and auditable. This is a key part of our long-term vision to treat data quality with the same urgency and rigor as platform reliability. The systems you build will help set a new standard for how we manage quality, fairness, and trust in enterprise data and AI. Senior AI/ML Engineer Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com. What I'll be doing – your accountabilities? Build and scale AI/ML-driven components to detect data anomalies, schema drift, and degradation in real-time across pipelines Develop validation logic, auto-profiling tools, and scoring engines to assess and monitor enterprise data quality Design architecture for AI/ ML-based DQ solutions that are modular, reusable, and scalable Apply AI/ML techniques including NLP, rule induction, and pattern classification to enrich metadata and detect systemic quality issues Build tooling to support responsible AI: drift tracking, fairness detection, explainability indicators, and lifecycle logging Partner with platform engineers to integrate these tools into orchestration systems (e.g., Airflow, MLflow, or Dagster) Work with data owners and stewards to operationalize quality ownership using MIDAS – Maersk’s enterprise AI platform for metadata inventory, data accountability, and governance Contribute to the creation of a DataOps playbook with SLAs, page-zero metrics, escalation routines, and ownership models Mentor junior engineers and shape architectural and engineering best practices for AI/ML observability and data quality tooling Foundational Skills Expert-level Python engineering experience with a proven ability to ship AI/ML-backed tooling at production scale Advanced knowledge of data pipelines and orchestration frameworks (e.g., Airflow, Spark, Dagster) Expert understanding of system observability - logging, telemetry, health scoring applied to data and model workflows Proven track record of applying advanced AI/ML techniques (e.g., classification, clustering, anomaly detection) in production settings Strong grounding in solution architecture for data-intensive, distributed systems Specialized Skills Deep experience applying AI/ML to data quality use cases such as profiling, anomaly detection, drift analysis, and schema inference Expertise in metadata management, lineage tracing, and automated documentation (e.g., via DataHub, Unity Catalog, or Collibra) Hands-on experience with responsible AI tooling (e.g., SHAP, LIME, Fairlearn, What-If Tool) for explainability and bias detection Built or contributed to platform-level components that are used across domains, not just in isolated project delivery Ability to design and implement architectural patterns that support federated ownership, reuse, and lifecycle transparency Eagerness to learn and contribute to AI governance frameworks (e.g., EU AI Act, ISO 42001, NIST AI RMF) and translate those into engineering patterns Qualifications & Requirements 8+ years of engineering experience, including at least 3 years building and deploying AI/ML solutions in production Demonstrated experience building DQ and model observability tools - not just core predictive systems Strong experience working in cross-functional platform teams that deliver shared services used across business units Fluent in MLOps tooling (e.g., MLflow, SageMaker, Vertex AI) and capable of versioning, tracking, and documenting model behavior Strong communication and documentation skills; able to make complex system behavior understandable and operable Passion for enabling trustworthy AI through high-quality engineering practices Preferred Experiences In addition to basic qualifications, would be great if you have… Experience implementing data quality scoring, monitoring, or root cause tooling in a production environment Experience working with shared metadata systems and operationalizing lineage or traceability at scale Strong involvement in platform teams or developer enablement functions - not just analytics or research delivery Applied experience with model explainability, fairness evaluation, or lifecycle documentation tooling Understanding of enterprise AI risk and how to translate policy into engineering design constraints

Coursera was launched in 2012 by Andrew Ng and Daphne Koller with a mission to provide universal access to world-class learning. It is now one of the largest online learning platforms in the world, with 183 million registered learners as of June 30, 2025 . Coursera partners with over 350 leading university and industry partners to offer a broad catalog of content and credentials, including courses, Specializations, Professional Certificates, and degrees. Coursera’s platform innovations enable instructors to deliver scalable, personalized, and verified learning experiences to their learners. Institutions worldwide rely on Coursera to upskill and reskill their employees, citizens, and students in high-demand fields such as GenAI, data science, technology, and business. Coursera is a Delaware public benefit corporation and a B Corp. Join us in our mission to create a world where anyone, anywhere can transform their life through access to education. We're seeking talented individuals who share our passion and drive to revolutionize the way the world learns. At Coursera, we are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any country where we have a legal entity. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration. Coursera has a commitment to enabling flexibility and workspace choices for employees. Our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates. As an employee, we enable you to select your main way of working, whether it's from home, one of our offices or hubs, or a co-working space near you. Job Overview: Does architecting high quality and scalable data pipelines powering business critical applications excite you? How about working with cutting edge technologies alongside some of the brightest and most collaborative individuals in the industry? Join us, in our mission to bring the best learning to every corner of the world! We’re looking for a passionate and talented individual with a keen eye for data to join the Data Engineering team at Coursera! Data Engineering plays a crucial role in building a robust and reliable data infrastructure that enables data-driven decision-making, as well as various data analytics and machine learning initiatives within Coursera. In addition, Data Engineering today owns many external facing data products that drive revenue and boost partner and learner satisfaction. You firmly believe in Coursera's potential to make a significant impact on the world, and align with our core values: Learners first: Champion the needs, potential, and progress of learners everywhere. Play for team Coursera: Excel as an individual and win as a team. Put Coursera’s mission and results before personal goals. Maximize impact: Increase leverage by focusing on things that produce bigger results with less effort. Learn, change, and grow: Move fast, take risks, innovate, and learn quickly. Invite and offer feedback with respect, courage, and candor. Love without limits: Celebrate the diversity and dignity of every one of our employees, learners, customers, and partners. Your Responsibilities Architect scalable data models and construct high quality ETL pipelines that act as the backbone of our core data lake, with cutting edge technologies such as Airflow, DBT, Databricks, Redshift, Spark. Your work will lay the foundation for our data-driven culture. Design, build, and launch self-serve analytics products. Your creations will empower our internal and external customers, providing them with rich insights to make informed decisions. Be a technical leader for the team. Your guidance in technical and architectural designs for major team initiatives will inspire others. Help shape the future of Data Engineering at Coursera and foster a culture of continuous learning and growth. Partner with data scientists, business stakeholders, and product engineers to define, curate, and govern high-fidelity data. Develop new tools and frameworks in collaboration with other engineers. Your innovative solutions will enable our customers to understand and access data more efficiently, while adhering to high standards of governance and compliance. Work cross-functionally with product managers, engineers, and business teams to enable major product and feature launches. Your Skills 5+ years experience in data engineering with expertise in data architecture and pipelines Strong programming skills in Python Proficient with relational databases, data modeling, and SQL Experience with big data technologies (eg: Hive, Spark, Presto) Familiarity with batch and streaming architectures preferred Hands-on experience with some of: AWS, Databricks, Delta Lake, Airflow, DBT, Redshift, Datahub, Elementary Knowledgeable on data governance and compliance best practices Ability to communicate technical concepts clearly and concisely Independence and passion for innovation and learning new technologies If this opportunity interest you, you might like these courses on Coursera - Big Data Specialization Data Warehousing for Business Intelligence IBM Data Engineering Professional Certificate Coursera is an Equal Employment Opportunity Employer and considers all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please contact us at accommodations@coursera.org. For California Candidates, please review our CCPA Applicant Notice here. For our Global Candidates, please review our GDPR Recruitment Notice here.

Engineering at Innovaccer With every line of code, we accelerate our customers' success, turning complex challenges into innovative solutions. Collaboratively, we transform each data point we gather into valuable insights for our customers. Join us and be part of a team that's turning dreams of better healthcare into reality, one line of code at a time. Together, we’re shaping the future and making a meaningful impact on the world. About the Role We’re on a mission to completely change the way healthcare works by building the most powerful Healthcare Intelligence Platform (Gravity) ever made. Using an AI-first approach , our goal is to turn complicated health data into real-time insights that help hospitals, clinics, pharmaceutical companies, and researchers make faster, smarter decisions. We're building a unified platform from the ground up — specifically for healthcare . This platform will bring together everything from: Collecting data from different systems (Data Acquisition) Combining and cleaning it (Integration, Data Quality) Managing patient records and provider info (Master Data Management) Tagging and organizing it (Data Classification & Governance) Running analytics and building AI models (Analytics, AI Studio) Creating custom healthcare apps (App Marketplace) Using AI as a built-in assistant (AI as BI + Agent-first approach) This platform will let healthcare teams build solutions quickly — without starting from scratch each time. For example, they’ll be able to: Track and manage kidney disease patients across different hospitals Speed up clinical trials by analyzing real-world patient data Help pharmacies manage their stock better with predictive supply chain tools Detect early signs of diseases like diabetes or cancer with machine learning Ensure regulatory compliance automatically through built-in checks This is a huge, complex, and high-impact challenge , and we’re looking for a Staff Engineer to help lead the way. In this role, you’ll: Design and build scalable, secure, and reliable systems Create core features like data quality checks , metadata management , data lineage tracking , and privacy/compliance layers Work closely with other engineers, product managers, and healthcare experts to bring the platform to life If you're passionate about using technology to make a real difference in the world — and enjoy solving big engineering problems — we'd love to connect. A Day in the Life Architect, design, and build scalable data tools and frameworks. Collaborate with cross-functional teams to ensure data compliance, security, and usability. Lead initiatives around metadata management, data lineage, and data cataloging. Define and evangelize standards and best practices across data engineering teams. Own the end-to-end lifecycle of tooling – from prototyping to production deployment. Mentor and guide junior engineers and contribute to technical leadership across the organization. Drive innovation in privacy-by-design, regulatory compliance (e.g., HIPAA), and data observability solutions. What You Need 8+ years of experience in software engineering with strong experience building distributed systems. Proficient in backend development (Python, Java, or Scala or Go) and familiar with RESTful API design. Expertise in modern data stacks: Kafka, Spark, Airflow, Snowflake etc. Experience with open-source data governance frameworks like Apache Atlas, Amundsen, or DataHub is a big plus. Familiarity with cloud platforms (AWS, Azure, GCP) and their native data governance offerings. Bachelor's or Master’s degree in Computer Science, Engineering, or a related field. Here’s What We Offer Generous Leaves: Enjoy generous leave benefits of up to 40 days. Parental Leave : Leverage one of industry's best parental leave policies to spend time with your new addition. Sabbatical : Want to focus on skill development, pursue an academic career, or just take a break? We've got you covered. Health Insurance: We offer comprehensive health insurance to support you and your family, covering medical expenses related to illness, disease, or injury. Extending support to the family members who matter most. Care Program: Whether it’s a celebration or a time of need, we’ve got you covered with care vouchers to mark major life events. Through our Care Vouchers program, employees receive thoughtful gestures for significant personal milestones and moments of need. Financial Assistance : Life happens, and when it does, we’re here to help. Our financial assistance policy offers support through salary advances and personal loans for genuine personal needs, ensuring help is there when you need it most. Innovaccer is an equal-opportunity employer. We celebrate diversity, and we are committed to fostering an inclusive and diverse workplace where all employees, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, or veteran status, feel valued and empowered. Disclaimer: Innovaccer does not charge fees or require payment from individuals or agencies for securing employment with us. We do not guarantee job spots or engage in any financial transactions related to employment. If you encounter any posts or requests asking for payment or personal information, we strongly advise you to report them immediately to our HR department at px@innovaccer.com. Additionally, please exercise caution and verify the authenticity of any requests before disclosing personal and confidential information, including bank account details. About Innovaccer Innovaccer activates the flow of healthcare data, empowering providers, payers, and government organizations to deliver intelligent and connected experiences that advance health outcomes. The Healthcare Intelligence Cloud equips every stakeholder in the patient journey to turn fragmented data into proactive, coordinated actions that elevate the quality of care and drive operational performance. Leading healthcare organizations like CommonSpirit Health, Atlantic Health, and Banner Health trust Innovaccer to integrate a system of intelligence into their existing infrastructure, extending the human touch in healthcare. For more information, visit www.innovaccer.com. Check us out on YouTube , Glassdoor , LinkedIn , Instagram , and the Web .

At Mitratech, we are a team of technocrats focused on building world-class products that simplify operations in the Legal, Risk, Compliance, and HR functions. We are a close-knit, globally dispersed team that thrives in an ecosystem that supports individual excellence and takes pride in its diverse and inclusive work culture centered around great people practices, learning opportunities, and having fun! Our culture is the ideal blend of entrepreneurial spirit and enterprise investment, enabling the chance to move at a rapid pace with some of the most complex, leading-edge technologies available. For over 35 years, the experts at Mitratech have been focused on solving the complex needs. Today, we serve 20,000 client companies of all sizes globally, representing 30% of the Fortune 500 and over 500,000 users in over 160 countries. As we continue to grow, we’re always looking for resourceful, enthusiastic, and fresh perspectives. Join our global team and see what makes Mitratech a truly exceptional place to work! We are seeking a highly experienced and passionate Software Engineering Manager specializing in Ruby on Rails to lead and mentor a talented team of engineers. In this role, you will be responsible for driving technical excellence, fostering a collaborative environment, and ensuring the successful delivery of high-quality software solutions built on the Ruby on Rails framework. You will leverage your deep expertise in Ruby on Rails to guide architectural decisions, promote best practices, and contribute to the growth and development of your team. What You’ll Do Manage and mentor a team of 3-4 engineers, fostering a culture of innovation, growth, and inclusion. Guide your team through technical challenges, balancing new feature development with system scalability and performance. Develop and execute on adding more capabilities for our Custom Data Platform, DataHub, ensuring our integrated products can seamlessly enable embedded analytic solutions for the end users Champion engineering excellence, ensuring best practices in coding, testing, and observability. Drive a high-performance culture where clarity, ownership, and impact are at the forefront. Deliver Scalable & High-Impact Solutions Oversee the design, build, and delivery of new features, ensuring seamless integration within Mitratech’s Platform ecosystem. Work across the full stack—from UI components to backend services—to enhance admin customization capabilities, improve embedded reporting solutions, and implement backend system integrations with other Mitratech systems. Optimize performance, scalability, and reliability, making it easier for products and their end users to leverage our analytic offerings. Collaborate closely with Product Managers, Designers, and other Platform Engineering teams to align on strategy and execution. Take ownership of key initiatives, ensuring smooth rollouts, enterprise-grade reliability, and continuous iteration. Drive Technical & Organizational Growth Help define and evolve our technical roadmap, balancing short-term improvements with long-term scalability. Introduce innovative approaches to problem-solving, exploring new technologies where appropriate. Improve agile processes, ensuring a healthy balance between speed and sustainability. Foster an environment where team members feel supported, challenged, and motivated to do their best work. What We’re Looking For Proven experience leading and mentoring engineers (2+ years as an Engineering Manager). Strong coaching and career development abilities, helping engineers grow professionally. Ability to influence without authority and drive alignment across multiple teams. Exceptional communication skills, ensuring clear expectations and alignment. Comfortable leading a distributed, global team and working asynchronously when needed. Good communicator and capable of appropriately engaging in constructive solution design Technical Expertise Five or more years of software engineering experience in high-impact environments. Strong backend experience with Ruby on Rails and frontend experience with React. Experience scaling complex enterprise SaaS platforms. Ability to identify and resolve performance bottlenecks in high-traffic applications. Experience with observability and logging tools. Familiarity with AWS (RDS, EC2, RDS, Security Groups, CloudWatch, Ops tools, etc.) and DevOps practices Familiarity with microservices architectures Experience writing software in support of analytics use cases a plus Education: Possess a Bachelor’s degree, or equivalent experience. Emphasis in engineering, data science, computer science or information systems is preferred. Tech Stack You’ll Work With Backend: Ruby, Ruby on Rails, Postgres, Snowflake Frontend: JavaScript, React DevOps & Monitoring: AWS, Terraform, Github, CI/CD tools Cloud & Infrastructure: AWS, Docker We are an equal-opportunity employer that values diversity at all levels. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity, disability, or veteran status.

NTT DATA is looking for a Guidewire Billing Centre technical developer to join their team in HYDERABAD, Telangana, India. The ideal candidate should have more than 5 years of experience in Guidewire Billing Centre and possess knowledge and experience in Guidewire integration, automated testing, code coverage, workflows implementation, string development, GW Cloud version, Data Dog familiarity, GW ACE & Certifications, and rule writing using GOSU code. Development experience in Billing Centre is a must, along with a basic understanding of Insurance (P&C) business and the Insurance eco-system. The candidate should be able to work independently with minimal direction, produce high-quality results, collaborate effectively with team members, and communicate clearly. Proficiency in Object-Oriented technologies, Java J2EE, JSP, Web Services, XML definitions, scripting languages, relational database concepts, and other web application skills is required. The candidate should also have experience in analyzing, developing, and maintaining large-scale Billing Centre applications, conducting code reviews, J-Unit testing, integration and business analysis for future Billing Centre implementations, drafting technical requirements, and collaborating with Guidewire Integration Architects. Additionally, the candidate should be able to participate in enterprise architecture initiatives related to Guidewire Integrations, investigate Policy Migration and Renewal Conversion, and have the ability to investigate data formats, file formats, and integration methods. Basic knowledge and experience of Guidewire Data Hub implementation is a plus. NTT DATA is a global innovator of business and technology services, serving 75% of the Fortune Global 100. As a Global Top Employer, NTT DATA has experts in over 50 countries and offers services such as business and technology consulting, data and artificial intelligence, industry solutions, and application development and management. NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success, and is a leading provider of digital and AI infrastructure worldwide. Being a part of NTT Group, NTT DATA invests significantly in R&D to support organizations and society in transitioning confidently into the digital future. Visit us at us.nttdata.com.,