You Will You will be an integral member in the design, analysis, development and deployment efforts in projects to solve complex business problems You will produce scalable, flexible, efficient and supportable solutions using appropriate technologies like Javascript or any other programming language. You will collaborate with Developers, Program Managers, QA and Devops Engineers in an agile development environment. You Must Have 2+ years of experience in JAVA, Spring Boot and other Spring libraries Solid understanding of OOPS, algorithms and data structures. Experience on Web Services like RESTful Ensure agile test-driven development for robustness, usability, reliability, security and performance Extensive experience with version control systems (Git is preferred), issue tracking systems (JIRA is preferred) & Agile Development Process especially Scrum Experience with Kafka, RabbitMQ Experience in the use of Open source technologies and to integrate applications with databases such as PostgreSQL (preferred), Oracle or MySQL Big Plus If You Have a strong focus on business outcomes Are comfortable with collaboration, open communication and reaching across functional borders Are self-motivated and can get things done Have the ability to communicate and defend your ideas clearly Have a strong knowledge of threading, concurrency, scaling, and high availability. Have a desire to build products that users love Are updated on the newest technologies

Your role The advertised position is in the Design & Customer Experience team and offers the opportunity to work with a diverse and international group of innovators, on a variety of products and innovation horizons.We are looking for a UX/UI Designer to take-over a central role for design of future experiences in B2C and B2B. You will contribute to:Identify customer insights and translate customers perspective into tangible experience concepts and solutionsCreate inclusive user experience for digital customer touchpoints like mobile apps, web portals, smart TVs, wearables, conversational interfaces, ensuring compliance with accessibility standards (e.g: WCAG 2.2 AA)Create and compose user experience strategies in the sweet spot of desirability, feasibility, viability, and integrityImprove user experience end-to-end along customer journeys, ensuring usability for all, including people with disabilitiesCraft experience prototypes of various fidelity levelsValidate user experience concepts with customersContribute to design teams and related activities across all phases of innovation development process, from initial research to final roll-outApply design thinking and tailored user-centric methods in interdisciplinary project teams, contributing along the process with top experts from multiple domainsProvide customer-centric storytelling and solutions for business decisionsExplore and transfer newest technologies into experience solutions and keep the team ahead of timeShare knowledge and skills and help colleagues and team to grow Your profile The advertised position requires a selected set of experience and skills:Bachelor and Master’s degree in design field (e.g. user experience design, interaction design) and 4-8 years of work experience in user experience and user interface designBasic knowledge on accessibility (AX) standards and related design principlesFluent in EnglishDigital concept and solution expert with profound practice of crafting digital User Experiences for various customer touchpoints (e.g. web and mobile) and product-/service categoriesExpert in creation and usage of accessible design systemsExpertise in UI design (visual design, graphic design)Method expert for user experience and interaction design related activities, from early exploration to realizationModerator and facilitator of design thinking formats, customer-centric workshops and design sprintsDomain expert with experience of applying user-centric and accessibility-focused design activities along the product development process in agile and interdisciplinary projectsDeep understanding on digital product development processes and related close collaboration with software engineersCommunicator who supports decision makers to challenge conventional practices and to instill customer perspective in decision-making processesStoryteller with the ability of visualizing ideas and solutions, communicate experience strategies and encourage collaborationFuture thinker with the ability to inspire teams with knowledge of user experience design trends, new interaction paradigms and latest experience related technologiesYou are driven by curiosity and empathy, thrilled to explore positive use of technologies for human being and environmentYou embrace complex challenges and problems and inspire new ways of thinkingYou are resilient and understand the complexity of working for a large organization.You are flexible to take different roles and to contribute with different skillset, adapting to teams and projects’ needs.You drive for excellence and are on the path of lifelong learningYou rank team always over ego and are passionate about collaboration with people from many cultures

ROLE: The key tasks will be developing innovative products, services, and internal efficiency solutions based on Generative Artificial Intelligence technologies. With every product and service we build, we aim for significant scale within our potential user base of tens of millions of customers across many countries, or among our 200m+ employees worldwide. In building such products and services, you will be in charge of leveraging our outstanding wealth of customer and other data, in a secure, safe, and privacy-compliant way along our vision of human-centered technology. You will be a pivotal part of the spear-heading Generative AI development team of Deutsche Telekom, working in close cooperation with other key AI experts as well as subject matter experts of areas across the company building product and services with and for the latter. You will be expected to provide key guidance on how to use cutting-edge Generative AI technologies in building telco-grade, strongly scaling products, and to efficiently execute the AI /data science components of such product/services developments. Those will include: Generative AI model/architecture selection, training/fine-tuning data set design and preparation, training pipeline design/setup, training/fine-tuning execution, meta-parameter optimisation, design and development of model orchestration technology (using Langchain or similar technologies) for e.g. On-parametric knowledge retrieval and tool access, testing, etc. You will build products/services based on both cutting-edge external Generative AI technology and be responsible for own Generative AI model development/enhancement. We believe in in the success of a sound mixture of both: (1) using leading-edge external technology ensures speed and sharpens our understanding of the space; (2) building our own, likely opensource-based, Generative AI models will be pivotal for a number of use cases, and helps us mitigate potential risks for our company and its customers. You will work in agile, empowered development teams in close synch with software engineers, product owners, customer experience and subject matter experts, amongst others. You will act as a trusted advisor for key technical / data science guidance on Generative AI and AI more broadly – incl.to senior management -- to help building the key brain trust on Generative AIin DT and the broader telco industry. Deutsche Telekom is supporting AI / data science experts in external scientific publication as long as Deutsche Telekom proprietary/confidential knowledge and our brand are safeguarded. SKILLS AND QUALIFICATIONS Comprehensive and deep expert knowledge and 2+ years of experience in Generative AI technologies and 8+ years of experience in Data Science, with significant and extended hands-on experience in developing Generative AI models and potentially supportive/orchestrating technologies of the latter Ideally extensive experience in building scaling products based on Generative AI technologies Solid experience in software development, open source programming languages Strong knowledge of cloud technologies like AWS, Azure etc. Experience in managing stakeholder expectations by being highly flexible as well as driving proactive and reactive communication. Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders Extensive and long term experience inmulti-cultural environments Excellent communication skills in leading AI technology/strategy discussions in development teams and in meetings with senior management. Should be able to explain complex topics in “crisp simple” language to top management Strong community engagement in opensource is highly appreciated Strong track record working in virtual settings across globally distributed teams, strong social and interpersonal/intercultural skills Able to act quickly, set new technical directions, empower the team to make decisions and aid the team with smart but fast decisions and engage in focused experimentation. Results Driven -confident, thrives on hard work and consistent challenge, and is quick on his/her feet. Monitors quantitative progress measures and acts quickly on deviations from plan Creative thinking to push the envelope of Generative AI model optimisation and products (e.g. novel architectures, loss functions, or training techniques) Ability and drive to balance AI and product development with ethical considerations ((e.g. understanding potential biases, fairness issues, privacy concerns, and societal impacts Fluency in English is a must. Technology education: Ideally mathematical, natural science, and/or engineering university degree; PhD in machine learning or similar highly welcome

Responsibilities: • You will lead a team and build systems that solve complex business problems at scale. • Work closely with product managers to understand customer needs and translate those into technical requirements. • Build and maintain scalable data management and serving infrastructure on cloud, managing terabytes of data and integrating cost. • You will be able to build, lead and manage a rockstar team. • You will be responsible for end-to-end ownership of the engineering process.• Design a comprehensive target data architecture vision working closely with product,design and development and NatCo teams to plan transition towards the target vision • Responsible for implementation of architecture concepts in product development and services • Consult and engage with engineering teams to solve problems at their root cause • Create deliverables that provide exceptional clarity and connections to business objectives • Assess emerging technologies and perform proof of concepts • Collaborate with product teams, design teams, NatCOs, enterprise architects and • provide optimized solutions that provide business outcomes • Provide strategic direction and technical oversight pertaining to the implementation of new tools, technologies and solutions Data Specialization • Comprehensive and expert knowledge with more than 5 years of Data Management and Data-Architectures (DWH, Spark, Lakehouse) and overall exp of 7-10 yrs. • Deep understanding of concepts and principles relating to both Batch and Streaming data, as well as API/Microservices architectures, Data warehouses & Mesh Architectures. • Strong expertise in Big Data Applications, Architecture best practices, and experience with the pitfalls of legacy Data Warehouses and Big Data platforms. • Al exposure and an excellent understanding of the decision engine concepts and how to best implement MLOps within an enterprise. • Rich and comprehensive experience in understanding the impact of emerging trends on the organization in data tools, analysis techniques, and data usage. • Experience in software engineering and programming languages (Java, Scala). • Proven track record of working with globally federated IT teams, and understands the • challenges involved, but can still bring teams and people together to deliver a shared • outcome. • Data Modelling experience (e.g., Information framework SID, Data Vault 2.0) Security and Regulatory Regiour • Experienced in implementing solutions that protect sensitive and regulated Customer data and can define technically secure and regulatory sound solutions. • Experienced in dealing with Security Architecture concepts like identity and access management, network isolation, transport protection, cloud security specifics, encryption & key management, and robust knowledge of data privacy treatment techniques. Strong Intrapersonal Skills • Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders • Resilient, able to adapt both her-/himself and teams to changing environments and business situations • Extensive and long-term experience in multicultural environments and fast-moving, highly competitive markets Show more Show less

Responsibilities: Develop and execute a data strategy to align with product development and business objectives. Foster data-driven decision-making throughout the product lifecycle, from development to marketing. Oversee data collection, analysis, and interpretation to provide actionable insights for product improvement. Ensure timely delivery of accurate reports, dashboards, and visualizations to support product decisions. Integrate new data sources and technologies to innovate and optimize product analytics. Define and track product-specific KPIs and metrics to measure performance and inform strategy. Provide insights and recommendations to support strategic product initiatives and enhancements. Assess the impact of data-driven projects on product success and user experience. Advocate for the value of data analytics in driving product innovation and growth. Communicate complex data concepts to non-technical stakeholders to inform product strategy. Collaborate with cross-functional teams to understand and address product data needs effectively. Share success stories and case studies to illustrate the impact of data-driven product improvements. Stay updated on industry trends and advancements in product analytics and technology. Foster innovation in analytical techniques and methodologies to stay ahead in the competitive landscape. Encourage continuous learning and development within the data team to maintain a high standard of expertise in product analytics. ualifications: Education: Bachelors degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree preferred. Experience: Extensive experience in data analytics or business intelligence, with a proven track record of leadership. Skills: Successful implementation of data strategies and fostering data-driven cultures. Strong expertise in statistical analysis, data modeling, and data visualization. Proficiency with analytics tools (e.g., SL, Python, R, Tableau, Power BI). Excellent leadership, communication, and presentation skills. Ability to translate data insights into actionable business recommendations. Knowledge of ML, data governance, data quality, and data protection practices.

Responsibilities: • Develop and execute a data strategy to align with product development and business objectives. • Foster data-driven decision-making throughout the product lifecycle, from development to marketing. • Oversee data collection, analysis, and interpretation to provide actionable insights for product improvement. • Ensure timely delivery of accurate reports, dashboards, and visualizations to support product decisions. • Integrate new data sources and technologies to innovate and optimize product analytics. • Define and track product-specific KPIs and metrics to measure performance and inform strategy. • Provide insights and recommendations to support strategic product initiatives and enhancements. • Assess the impact of data-driven projects on product success and user experience. • Advocate for the value of data analytics in driving product innovation and growth. • Communicate complex data concepts to non-technical stakeholders to inform product strategy. • Collaborate with cross-functional teams to understand and address product data needs effectively. • Share success stories and case studies to illustrate the impact of data-driven product improvements. • Stay updated on industry trends and advancements in product analytics and technology. • Foster innovation in analytical techniques and methodologies to stay ahead in the competitive landscape. • Encourage continuous learning and development within the data team to maintain a high standard of expertise in product analytics. Ǫualifications: Education: • Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree preferred. Experience: • Extensive experience in data analytics or business intelligence, with a proven track record of leadership. Skills: • Successful implementation of data strategies and fostering data-driven cultures. • Strong expertise in statistical analysis, data modeling, and data visualization. • Proficiency with analytics tools (e.g., SǪL, Python, R, Tableau, Power BI). • Excellent leadership, communication, and presentation skills. • Ability to translate data insights into actionable business recommendations. • Knowledge of ML, data governance, data quality, and data protection practices. Show more Show less

SDET-I- STB FTE Job Code: DTDLPL-94270 | Deutsche Telekom Digital Labs Private Limited Gurgaon, Haryana, India Expires on 30/07/2025 Required Experience 0 - 4 Years Skills adb command, multiple port testin... , STB testing Responsibilities: Create and execute test cases for Set-Top Box(STB) testing. Utilize adb commands for testing applications on STBs. Perform multiple port testing to ensure quality and functionality. Utilize tools like Appium for automated testing on STBs. Write efficient code in Java for testing purposes. Collaborate with team members for STB testing using Android Studio. Analyze test results and communicate findings to the team. Implement and maintain testing frameworks like Grafana. Requirements: 1.6 to 4 years of experience in Software Development Engineer in Test (SDET) role. Proficiency in adb commands, multiple port testing, and STB testing. Strong knowledge of testing tools such as Appium. Experience in Java programming and Android Studio. Familiarity with Grafana or relevant monitoring tools. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Bachelor's degree in Computer Science or related field. About Company Deutsche Telekom is one of the world's leading integrated telecommunications companies, with some 252 million mobile customers, 25 million fixed-network lines, and 22 million broadband lines. Deutsche Telekom is present in more than 50 countries. With a staff of some 200,000 (Dec 31, 2023) employees throughout the world, we generated revenue of 111,9 billion Euros in the 2023 financial year. As of 2023, It is rated as the 9th most valuable brand in the world. Deutsche Telekom Digital Labs is the digital powerhouse that fuels Deutsche Telekom’s vision to be a “Leading Digital Telco”. We create compelling digital propositions for the worlds’ largest Telekom giant by building scalable, agile and innovative platforms to provide the best of digital experience to Deutsche Telekom customers across Europe and US.

SDET-I- STB FTE Job Code: DTDLPL-94270 | Deutsche Telekom Digital Labs Private Limited Gurgaon, Haryana, India Expires on 30/07/2025 Required Experience 0 - 4 Years Skills adb command, multiple port testin... , STB testing Responsibilities: Create and execute test cases for Set-Top Box(STB) testing. Utilize adb commands for testing applications on STBs. Perform multiple port testing to ensure quality and functionality. Utilize tools like Appium for automated testing on STBs. Write efficient code in Java for testing purposes. Collaborate with team members for STB testing using Android Studio. Analyze test results and communicate findings to the team. Implement and maintain testing frameworks like Grafana. Requirements: 1.6 to 4 years of experience in Software Development Engineer in Test (SDET) role. Proficiency in adb commands, multiple port testing, and STB testing. Strong knowledge of testing tools such as Appium. Experience in Java programming and Android Studio. Familiarity with Grafana or relevant monitoring tools. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Bachelor's degree in Computer Science or related field. About Company Deutsche Telekom is one of the world's leading integrated telecommunications companies, with some 252 million mobile customers, 25 million fixed-network lines, and 22 million broadband lines. Deutsche Telekom is present in more than 50 countries. With a staff of some 200,000 (Dec 31, 2023) employees throughout the world, we generated revenue of 111,9 billion Euros in the 2023 financial year. As of 2023, It is rated as the 9th most valuable brand in the world. Deutsche Telekom Digital Labs is the digital powerhouse that fuels Deutsche Telekom’s vision to be a “Leading Digital Telco”. We create compelling digital propositions for the worlds’ largest Telekom giant by building scalable, agile and innovative platforms to provide the best of digital experience to Deutsche Telekom customers across Europe and US.

We are looking for top-notch SDET Mobile who will deliver on key initiatives, starting from the ideation phase all the way to development and product delivery. You Will : • Development of iOS/Android test automation on mobile test harnesses • Develop and enhance to the existing automation scripts, tools and framework using Java, TestNG and Appium • Execute automated test plans and regression tests for iOS/Android applications • Define testing strategies and scope for user stories and technical development tasks • Provide estimates on testing efforts to Product and Engineering team members • Maintain and improve the test coverage and ratio of automated test • Advocate Automated Testing and CI/CD methodology, review and advise testing methods and best practices • Identify, investigate, report, and track defects • Deliver high-quality features and infrastructure to production • Continuously learn new tools, technologies, and testing disciplines • Able to work under minimal supervision and quick to adopt new technologies • Work collaboratively across multiple teams • Communicate all concerns and status with SQA manager on timely manner Qualifications : • Bachelor’s degree in computer science or a related field or equivalent work experience • A track record of improving quality • Strong test automation experience with expertise in iOS/Android app testing • Experience on TestNG, Java, Appium, XCUITest with expertise in programming skills using Java • Experience in Selenium webdriver • Experience using Xcode instruments • Experience using BrowserStack or similar for app automation • Expertise in software QA methodologies, tools, and processes • Expertise in test design, test automation frameworks, and scripting tests • Experience with MongoDB • Experience with Git, DevOps CI/CD pipelines • Good knowledge of data warehouses, data lakes and ETL pipelines (AWS, Athena,Redshift Spectrum, Postgres, SQL, etc) is a plus • API Automation testing experience using JEST, Mocha, REST Assured or similar frameworks is a plus • Excellent communication skills, both oral and written a must • Experience with Scrum methodologies and remote teams is a plus! Big Pluses if you: • Are comfortable with collaboration, open communication and reaching across functional borders • Are self-motivated and can get things done • Have the ability to communicate and defend your ideas clearly and high availability. • Have a desire to build products that users love • Are updated on the newest technologies Please include whatever info you believe is relevant: Resume, Linkedin profile, GitHub profile etc. Show more Show less

You Will Development of iOS/Android test automation on mobile test harnesses Develop and enhance to the existing automation scripts, tools and framework using Java, TestNG and Appium Execute automated test plans and regression tests for iOS/Android applications Define testing strategies and scope for user stories and technical development tasks Provide estimates on testing efforts to Product and Engineering team members Maintain and improve the test coverage and ratio of automated test Advocate Automated Testing and CI/CD methodology, review and advise testing methods and best practices Identify, investigate, report, and track defects Deliver high-quality features and infrastructure to production Continuously learn new tools, technologies, and testing disciplines Able to work under minimal supervision and quick to adopt new technologies Work collaboratively across multiple teams Communicate all concerns and status with SQA manager on timely manner Qualifications Bachelor’s degree in computer science or a related field or equivalent work experience A track record of improving quality 2+ years of test automation experience with expertise in iOS/Android app testing Experience on TestNG, Appium, XCUITest with expertise in programming skills using Java Experience in Selenium webdriver Experience using Xcode instruments Experience using BrowserStack or similar for app automation Expertise in software QA methodologies, tools, and processes Expertise in test design, test automation frameworks, and scripting tests . Show more Show less

Deutsche Telekom Digital Labs is the captive unit of the global telecom giant & we create compelling digital propositions by building scalable and agile platforms to provide the best of digital experience to Deutsche Telekom customers across Europe. We aim to bring all the Deutsche Telekom customers onto our digital products by simplifying the experience. This includes innovative approaches to allow the user to explore compelling propositions, recommend most suitable services based on micro segmentation and so on. Responsibilities: You will be involved in the design of data solutions using Hadoop based technologies along with Hadoop, AWS. Responsibilities includes design and implementation of various Big Data platform components like (Batch Processing, Live Stream Processing, In----Memory Cache, Query Layer (SQL), Rule Engine and Action Framework ). Design and Implemented Data Access Layer, which can connect to various data sources and uses advanced caching techniques to provide fast responses to real time SQL queries using Big Data Technologies. Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies; spark, Kafka, any Cloud computing etc. Requirements: 5+ years of Data engineering experience. Programming Language: Good hands-on knowledge on one of the programming language java/scala/python. Data Store: Good understanding of SQL & NoSQL Data bases. Mysql, Mongo. Data Infrastructure: Familiar with cloud solutions for data infrastructure. AWS Preferably. Data handling frameworks: Good hands on one of the data handling frameworks - Spark, Apache Beam, Apache flink etc File formats: Familiar different types of data formats - Apache Parquet, Avro, ORC etc. Good understanding of how to setup and optimise data pipeline and overall infrastructure for setting up ETL jobs. Proficient with distributed file system and computations concepts. Show more Show less

Responsibilities Create and execute test cases for Set-Top Box(STB) testing. Utilize adb commands for testing applications on STBs. Perform multiple port testing to ensure quality and functionality. Utilize tools like Appium for automated testing on STBs. Write efficient code in Java for testing purposes. Collaborate with team members for STB testing using Android Studio. Analyze test results and communicate findings to the team. Implement and maintain testing frameworks like Grafana. Requirements 1.6 to 4 years of experience in Software Development Engineer in Test (SDET) role. Proficiency in adb commands, multiple port testing, and STB testing. Strong knowledge of testing tools such as Appium. Experience in Java programming and Android Studio. Familiarity with Grafana or relevant monitoring tools. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Bachelor's degree in Computer Science or related field. Show more Show less

You Will Development of iOS/Android test automation on mobile test harnesses Develop and enhance to the existing automation scripts, tools and framework using Java, TestNG and Appium Execute automated test plans and regression tests for iOS/Android applications Define testing strategies and scope for user stories and technical development tasks Provide estimates on testing efforts to Product and Engineering team members Maintain and improve the test coverage and ratio of automated test Advocate Automated Testing and CI/CD methodology, review and advise testing methods and best practices Identify, investigate, report, and track defects Deliver high-quality features and infrastructure to production Continuously learn new tools, technologies, and testing disciplines Able to work under minimal supervision and quick to adopt new technologies Work collaboratively across multiple teams Communicate all concerns and status with SQA manager on timely manner Qualifications Bachelor’s degree in computer science or a related field or equivalent work experience A track record of improving quality 2+ years of test automation experience with expertise in iOS/Android app testing Experience on TestNG, Appium, XCUITest with expertise in programming skills using Java Experience in Selenium webdriver Experience using Xcode instruments Experience using BrowserStack or similar for app automation Expertise in software QA methodologies, tools, and processes Expertise in test design, test automation frameworks, and scripting tests . Show more Show less

Responsibilities Design, develop, integrate, test, deploy, maintain, troubleshoot, and enhance applications and tools using Java, Swift, and relevant technologies. Work on defining data products, user interface architecture, and building/maintaining JavaScript libraries. Develop various API frameworks and data fabric services using Java/J2EE. Collaborate with cross-functional teams to redesign projects and create scalable applications. Write clean, documented code for Angular, React, Node.js, and other JavaScript frameworks. Implement HTML, CSS, JavaScript, and Bootstrap based on design mockups. Create and build microservices from scratch, contributing to the full software development lifecycle. Requirements Bachelor's degree in Computer Science or relevant field. 6-8 years of experience in software engineering, with a focus on full stack development. Expertise in Java8, SpringBoot, high-level and low-level design, multithreading, microservices, JavaScript, and ReactJS. Strong understanding of OOP concepts, design patterns, and reusable frameworks. Proficiency in Frontend and Backend technologies such as ReactJS, Node.js, and Java EE. Experience with modern JavaScript frameworks like Angular, jQuery, and Node.js. Excellent knowledge of web application development and integration using HTML, Java J2EE. Familiarity with cloud services like AWS and familiarity with JavaScript standards such as ES5, ES6. Solid understanding of Java, J2EE servers, JavaScript, and DOM manipulation. Experience in firmware development using embedded C, C++, and working knowledge of databases. Strong problem-solving skills and the ability to work independently or within a team. Updated awareness of current innovations in relevant technologies and a passion for learning new tools and technologies. Show more Show less

Senior Manager – Data Analytics Overview: This role is responsible for managing a team of data professionals, delivering actionable insights, and ensuring that data initiatives positively impact business performance. Key Responsibilities: Strategy & Leadership Develop and execute a data strategy aligned with product development and business objectives. Lead and mentor a team of data analysts and BI professionals. Foster a culture of data-driven decision-making across the product lifecycle. Data Operations & Insights Oversee data collection, analysis, and interpretation to deliver actionable insights for product improvement. Ensure timely delivery of accurate reports, dashboards, and visualizations to support business decisions. Integrate new data sources and technologies to enhance and innovate product analytics. Performance Measurement Define and track product-specific KPIs and metrics to evaluate performance and inform strategy. Assess the impact of data-driven initiatives on product success and user experience. Stakeholder Collaboration Communicate complex data concepts clearly to non-technical stakeholders to support strategic decision-making. Collaborate with cross-functional teams to understand and address product data needs effectively. Provide insights and recommendations to guide strategic product initiatives and enhancements. Innovation & Advocacy Advocate for the role of analytics in product innovation and growth. Share success stories and case studies that highlight the impact of data on product outcomes. Stay updated on trends and advancements in analytics and data technologies. Team Development Foster innovation in analytical methods and best practices to maintain a competitive edge. Encourage continuous learning and development within the data team to uphold excellence in analytics. Qualifications: Education: Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree preferred. Experience: Extensive experience in data analytics or business intelligence. Proven track record of leading high-performing analytics teams. Skills: Demonstrated success in implementing data strategies and building data-driven cultures. Strong expertise in statistical analysis, data modeling, and data visualization. Proficiency with analytics tools such as SQL, Python, R, Tableau, Power BI. Excellent leadership, communication, and presentation skills. Ability to translate complex data into clear, actionable business recommendations. Solid understanding of data governance, data quality, and data protection practices. Show more Show less

Responsibilities Design, implement, and maintain Java-based applications with high-volume and low-latency requirements. Develop a deep understanding of existing Java/J2EE products and enhance/customize them. Drive end-to-end execution of features for backend, mobile web, and front-end applications. Lead new full life cycle Java development enhancements for applications. Create reusable Java/.NET/C# components for the Salesforce platform. Develop a data-driven framework using Selenium WebDriver, Cucumber, TestNG, and Apache POI API. Provide technical assistance for the installation and configuration of Java-based technologies. Implement automation tests using Java-based frameworks like Selenium, TestNG, and JUnit. Identify and define corrective actions by debugging and analyzing test results. Requirements Bachelor's degree in Computer Science, Engineering, or related field. 2 to 5 years of experience in Java development, automation testing, and API testing. Proficiency in Java programming with knowledge of frameworks like Spring MVC, Hibernate, and Spring Boot. Hands-on experience with mobile automation testing tools such as Appium and Selenium. Strong understanding of object-oriented design principles and programming languages like Java, Python, and Ruby. Experience in developing web automation tests using Selenium WebDriver. Familiarity with RESTful web services and experience in creating automation test plans. Ability to work in a fast-paced environment and adapt to changing priorities. Excellent communication skills and a collaborative team player. Ensure that the candidate should have a solid knowledge of Java, JavaScript, J2EE, SOAP, and RESTful APIs. Prior experience in financial or banking domains will be a plus.

You Will You will be an integral member in the design, analysis, development and deployment efforts in projects to solve complex business problems You will develop detailed test strategy and test plans for various features at the functional and system level. You will collaborate with Developers, Program Managers, QA and Devops Engineers in an agile development environment. You Must Have Experience on analyzing test logs; create test reports, coordinate with stakeholders. Experience in test planning, test design, test strategy, and test execution. Strong coding skills in Java or scripting languages such as Python Experience on API level testing – Solid Knowledge of the API functioning both via manual and automation. Experience on API automation using tools like Rest Assured, Karate, Postman etc. Good database knowledge. Good To Have Experience in NoSQL databases. Experience in Security testing. Understanding of the Unix based systems for logs monitoring and shell scripting. Experience of API monitoring tools like Kibana, Grafana, influx DB etc. Understanding the NFR (non-functional requirements) like battery consumption, data consumption, crash logging. Knowledge on tools like Kafka, Rabbit MQ, Crashlytics. Performance testing of backend servers using tools like Gatling/JMeter/Golang. Big Pluses If You Have a strong focus on business outcomes Are comfortable with collaboration, open communication and reaching across functional borders Are self-motivated and can get things done Have the ability to communicate and defend your ideas clearly Have a strong knowledge of threading, concurrency, scaling, and high availability. Have a desire to build products that users love Are updated on the newest technologies

FTE Job Code: DTDLPL-97211 | Deutsche Telekom Digital Labs Private Limited Gurugram, Haryana, India 2 positions Expires on 30/07/2025 Required Experience 2 - 5 Years Skills sdet, mobile, appium Responsibilities: Design, implement, and maintain Java-based applications with high-volume and low-latency requirements. Develop a deep understanding of existing Java/J2EE products and enhance/customize them. Drive end-to-end execution of features for backend, mobile web, and front-end applications. Lead new full life cycle Java development enhancements for applications. Create reusable Java/.NET/C# components for the Salesforce platform. Develop a data-driven framework using Selenium WebDriver, Cucumber, TestNG, and Apache POI API. Provide technical assistance for the installation and configuration of Java-based technologies. Implement automation tests using Java-based frameworks like Selenium, TestNG, and JUnit. Identify and define corrective actions by debugging and analyzing test results. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 2 to 5 years of experience in Java development, automation testing, and API testing. Proficiency in Java programming with knowledge of frameworks like Spring MVC, Hibernate, and Spring Boot. Hands-on experience with mobile automation testing tools such as Appium and Selenium. Strong understanding of object-oriented design principles and programming languages like Java, Python, and Ruby. Experience in developing web automation tests using Selenium WebDriver. Familiarity with RESTful web services and experience in creating automation test plans. Ability to work in a fast-paced environment and adapt to changing priorities. Excellent communication skills and a collaborative team player. Ensure that the candidate should have a solid knowledge of Java, JavaScript, J2EE, SOAP, and RESTful APIs. Prior experience in financial or banking domains will be a plus. About Company

FTE Job Code: DTDLPL-97211 | Deutsche Telekom Digital Labs Private Limited Gurugram, Haryana, India 2 positions Expires on 30/07/2025 Required Experience 2 - 5 Years Skills sdet, mobile, appium Responsibilities: Design, implement, and maintain Java-based applications with high-volume and low-latency requirements. Develop a deep understanding of existing Java/J2EE products and enhance/customize them. Drive end-to-end execution of features for backend, mobile web, and front-end applications. Lead new full life cycle Java development enhancements for applications. Create reusable Java/.NET/C# components for the Salesforce platform. Develop a data-driven framework using Selenium WebDriver, Cucumber, TestNG, and Apache POI API. Provide technical assistance for the installation and configuration of Java-based technologies. Implement automation tests using Java-based frameworks like Selenium, TestNG, and JUnit. Identify and define corrective actions by debugging and analyzing test results. Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 2 to 5 years of experience in Java development, automation testing, and API testing. Proficiency in Java programming with knowledge of frameworks like Spring MVC, Hibernate, and Spring Boot. Hands-on experience with mobile automation testing tools such as Appium and Selenium. Strong understanding of object-oriented design principles and programming languages like Java, Python, and Ruby. Experience in developing web automation tests using Selenium WebDriver. Familiarity with RESTful web services and experience in creating automation test plans. Ability to work in a fast-paced environment and adapt to changing priorities. Excellent communication skills and a collaborative team player. Ensure that the candidate should have a solid knowledge of Java, JavaScript, J2EE, SOAP, and RESTful APIs. Prior experience in financial or banking domains will be a plus. About Company

This role is responsible for managing a team of data professionals, delivering actionable insights, and ensuring that data initiatives positively impact business performance. Key Responsibilities Develop and execute a data strategy to align with product development and business objectives. Lead and mentor the team of data analysts and BI professionals. Foster data-driven decision-making throughout the product lifecycle, from development to marketing. Oversee data collection, analysis, and interpretation to provide actionable insights for product improvement. Ensure timely delivery of accurate reports, dashboards, and visualizations to support product decisions. Integrate new data sources and technologies to innovate and optimize product analytics. Define and track product-specific KPIs and metrics to measure performance and inform strategy. Provide insights and recommendations to support strategic product initiatives and enhancements. Assess the impact of data-driven projects on product success and user experience. Advocate for the value of data analytics in driving product innovation and growth. Communicate complex data concepts to non-technical stakeholders to inform product strategy. Collaborate with cross-functional teams to understand and address product data needs effectively. Share success stories and case studies to illustrate the impact of data-driven product improvements. Stay updated on industry trends and advancements in product analytics and technology. Foster innovation in analytical techniques and methodologies to stay ahead in the competitive landscape. Encourage continuous learning and development within the data team to maintain a high standard of expertise in product analytics. Qualifications Education: Bachelor’s degree in Computer Science, Statistics, Data Science, or a related field. Advanced degree preferred. Experience Extensive experience in data analytics or business intelligence, with a proven track record of leadership. Skills Successful implementation of data strategies and fostering data-driven cultures. Strong expertise in statistical analysis, data modeling, and data visualization. Proficiency with analytics tools (e.g., SQL, Python, R, Tableau, Power BI). Excellent leadership, communication, and presentation skills. Ability to translate data insights into actionable business recommendations. Knowledge of data governance, data quality, and data protection practices.