3093 Data Processing Jobs - Page 5

The Senior Software Engineer will be a contributor on the team to deliver digital maps to major automakers, for e.g. BMWs, VWs, Audi, Daimler. You will work on a technology to collect and process road information from many sources, terabytes of data, including car sensors from millions of cars on the road. Our services convert this input into a digital map which is delivered back to the cars and used for navigation, driver assistance and even autonomous driving. Developers building new services will rapidly launch their differentiated prototypes leveraging templates that enforce security, availability, and efficiency best-practices with a minimal collection of service-specific libraries. What You ll Get: Challenging problems to solve Opportunities to learn cool new things Work that makes a difference in the world Freedom to decide how to perform your work Variety in the types of projects Feedback so you will know how well you are doing Collaborative, Supportive Colleagues Your Tasks Implement tools to enhance both automated and semi-automated map data processing, involving backend/service-based software stacks, but also dashboard components for data tracking and analysis Own and drive technical excellence and in-depth solutions in an innovative and fast-paced environment

Do you want to help solve the worlds most pressing challengesFeeding the worlds growing population and slowing climate change are two of the worlds greatest challenges. AGCO is a part of the solution! Join us to make your contribution. As a Senior AWS Cloud Developer at AGCOs Pune Global Capability Center, you will independently design, develop, and maintain scalable cloud infrastructure and data processing applications using AWS technologies. You will collaborate with global engineering teams and contribute to innovative projects advancing agricultural and embedded systems technology Your Impact Design, develop, and maintain scalable, secure AWS cloud infrastructure and data processing applications. Build and optimize web services and APIs using Java, Spring Boot, React, and develop UDP Proxy components in Python. Implement monitoring, logging, and alerting solutions with Prometheus, Loki, and Grafana to ensure system reliability and performance. Troubleshoot and optimize network protocols (especially UDP), enhancing system availability and security. Work autonomously as an individual contributor, taking full ownership of projects and delivering high-quality solutions for global, cross-functional engineering teams. Your Experience and Qualifications Minimum 8 years of software development experience with strong expertise in Spring Boot and React frameworks. Proven hands-on experience with AWS services and infrastructure automation tools such as Terraform and CloudFormation. Practical knowledge of monitoring and logging tools, including Prometheus, Loki, and Grafana. Experience working with Postgres or similar relational databases. Bachelors degree in Computer Science, IT, or a related technical field, complemented by strong problem-solving and communication skills. Your Benefits GLOBAL DIVERSITY Diversity means many things to us, different brands, cultures, nationalities, genders, generations even variety in our roles. You make us unique! ENTERPRISING SPIRIT- Every role adds value. Were committed to helping you develop and grow to realize your potential. POSITIVE IMPACT Make it personal and help us feed the world. INNOVATIVE TECHNOLOGIES - You can combine your love for technology with manufacturing excellence and work alongside teams of people worldwide who share your enthusiasm. MAKE THE MOST OF YOU Benefits include health care and wellness plans and flexible and virtual work option . Your Workplace We value inclusion and recognize the innovation a diverse workforce delivers to our farmers. Through our recruitment efforts, we are committed to building a team that includes a variety of experiences, backgrounds, cultures and perspectives. Join us as we bring agriculture into the future and apply now! Please note that this job posting is not designed to cover or contain a comprehensive listing of all required activities, duties, responsibilities, or benefits and may change at any time with or without notice. AGCO is proud to be an Equal Opportunity Employer

ql-editor "> Were looking for an experienced Machine Learning Engineer with a passion for Generative AI to join our pioneering team. Youll be instrumental in developing next-generation AI solutions, from fine-tuning Large Language Models (LLMs) to building autonomous AI agents. If youre excited by the prospect of applying cutting-edge AI to solve complex challenges in industrial and engineering domains, this role is for you. Key Responsibilities Generative AI Development: Design, develop, and fine-tune Large Language Models (LLMs) and other generative models for specific business applications. Agentic AI Systems: Design and build autonomous AI agents capable of reasoning, planning, and using tools to execute complex tasks. End-to-End Model Deployment: Manage the entire lifecycle of ML models, including deployment into production and building robust MLOps pipelines. System Architecture: Collaborate with cross-functional teams to architect scalable, production-ready systems for generative AI on cloud platforms. Research & Prototyping: Stay at the forefront of AI research, rapidly prototyping new models, agents, and algorithms to drive innovation. Mentorship: Guide junior engineers and promote best practices in building reliable and efficient AI systems. Required Skills & Qualifications Experience: 5+ years of hands-on experience in a machine learning role, with a proven track record of deploying models into production. Programming Proficiency: Expert-level skills in Python and its core data science libraries (e.g., NumPy, Pandas, Scikit-learn). GenAI & LLM Experience: Demonstrable experience with Generative AI , including LLMs (e.g., GPT series, Llama) and proficiency with frameworks like LangChain , LlamaIndex , or Hugging Face Transformers . ML Frameworks: Deep experience with TensorFlow or PyTorch . Cloud Platforms: Strong proficiency in a major cloud provider ( AWS , GCP , or Azure ) and their ML services (e.g., SageMaker, Vertex AI, Azure ML). MLOps Tools: Hands-on experience with MLOps tools and concepts, including Docker , Kubernetes , and CI/CD pipelines. Preferred Qualifications An educational or professional background in Civil or Mechanical Engineering is a strong plus. Experience building agentic AI systems with capabilities for planning and multi-step reasoning. Masters or Ph.D. in Computer Science, AI, or a related quantitative field. Contributions to open-source AI/ML projects. Experience with large-scale data processing frameworks like Spark or Dask.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn t a buzzword it s a way of life. The world of work as we know it is changing and were looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforces core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic eraYou re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. About Salesforce We re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good you ve come to the right place. About the Role We are seeking a highly accomplished and seasoned Forward Deployed Engineer to lead the charge in delivering transformative AI solutions for our most strategic clients. This role demands a unique blend of deep technical expertise, strategic foresight, and exceptional client engagement skills. You will be instrumental in designing, developing, and implementing bespoke, complex solutions leveraging our Agentforce platform and other cutting-edge technologies. Youll drive the technical vision, mentor less experienced team members, and ensure the successful delivery and long-term optimization of mission-critical AI applications in dynamic, real-world environments. This is a leadership position for a technologist who excels at understanding the nuances of complex business problems and translating them into innovative, impactful, and scalable AI-driven solutions. Your Impact Architect and Lead Transformative Solutions: Lead the architectural design and development of highly scalable, resilient, and performant production systems. You will champion the strategic application of AI and Large Language Models (LLMs) to create intelligent agents and automate complex workflows, all built on top of the Salesforce platform. Master and Strategize Data Landscapes: Take ultimate ownership of complex data ecosystems from end-to-end. Youll define robust data strategies, design sophisticated data models, architect efficient processing pipelines, and establish seamless integration strategies to ingest, transform, and analyze massive, complex datasets, ensuring optimal data readiness for cutting-edge AI applications. Drive Agentforce Innovation and Thought Leadership: Become a preeminent expert in our innovative Agentforce platform, pushing its boundaries and contributing to its evolution. You will architect and develop highly bespoke intelligent agents, automate intricate, high-value business processes, and craft intuitive, highly effective user experiences that deliver unparalleled tangible value. Lead with an Entrepreneurial and Strategic Spirit: Operate with a highly proactive and strategic "get-things-done" mindset, championing rapid prototyping, iterative development, and accelerated delivery of high-impact solutions. You will thrive in highly dynamic environments, skillfully adapting to evolving customer priorities, navigating complex technical challenges, and mitigating risks. Become a Trusted Strategic Partner: Embed deeply with senior client teams to gain a comprehensive understanding of their most critical operational challenges and strategic objectives. You will expertly translate these nuanced business needs into clear, actionable, and innovative technical requirements, fostering strong, enduring relationships as their primary technical advisor and thought leader. Ensure Seamless Deployment & Long-Term Optimization: Oversee the successful, enterprise-grade deployment of your solutions, ensuring flawless integration with complex existing customer infrastructure and adherence to best practices. Beyond deployment, you will establish proactive monitoring frameworks, identify performance bottlenecks, and implement advanced optimizations for long-term reliability, scalability, and maintainability. Bridge Customer Needs and Product Evolution: Serve as a critical feedback loop, proactively identifying patterns and insights from field deployments to directly influence future product enhancements and shape the strategic direction of our Agentforce platform and broader AI offerings. You will champion customer needs within product development cycles. Mentor and Grow Talent: Provide technical leadership and mentorship to junior and mid-level engineers, fostering a culture of excellence, knowledge sharing, and continuous improvement within the team. Required Qualifications Bachelors degree in Computer Science or a related engineering discipline; Masters degree preferred. 5+ years of experience in end-to-end delivery of high-quality, scalable production solutions in a professional environment. Expert proficiency in one or more programming languages (e.g., JavaScript, Java, Python, Apex). Extensive hands-on experience architecting and building sophisticated solutions with AI/LLM technologies, including deep expertise in integrating LLMs, applying advanced AI orchestration frameworks, and prompt engineering techniques for complex use cases. Demonstrated expertise in data modeling, complex data processing, integration strategies, and advanced analytics, with significant proficiency in enterprise data platforms (e.g., Salesforce Data Cloud, Snowflake, Databricks). Deep and broad experience with the Salesforce platform, including advanced configuration, complex customization, and development across various clouds. Proven track record of entrepreneurial drive, a "get-things-done" attitude, and a strong focus on fast, impactful delivery in agile environments. Exceptional collaboration, communication, and presentation skills, both written and verbal, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Ability to travel 25-50% of the time, as needed to customer sites, often involving extended engagements. Preferred Qualifications Expert-level experience with Salesforce Data Cloud and/or Agentforce platform. Extensive experience developing and deploying complex conversational AI solutions within highly regulated industries. Significant experience with Apex and Python coding languages for enterprise-grade solutions. Prior experience in a lead technical role or as a principal consultant in a customer-facing capacity. Multiple Salesforce platform certifications (e.g., Application Architect, System Architect, Technical Architect). Comprehensive knowledge across Salesforce CRM (Service, Sales, Marketing, Experience Cloud). Advanced experience with Salesforce Flows, Lightning Web Components (LWC), and other declarative/programmatic development tools. Experience with DevOps practices and CI/CD pipelines in a Salesforce context. Unleash Your Potential When you join Salesforce, you ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future but to redefine what s possible for yourself, for AI, and the world. Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactlyIt means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey.

Job Area: Engineering Group, Engineering Group > Systems Engineering General Summary: We are seeking a passionate and skilled AI/ML Engineer to join our cutting-edge Extended Reality (XR) Software team. In this role, you will work on next-generation XR products that blend the physical and digital worlds, leveraging artificial intelligence and machine learning to create immersive, intelligent, and responsive experiences. You will collaborate with cross-functional teams of researchers, engineers, and designers to build real-time AI/ML software optimized for XR platforms. A strong background in C++ or embedded firmware development is essential, as you will be working close to hardware and performance-critical systems. Key Responsibilities Design, develop, and optimize AI/ML models for XR applications such as computer vision, sensor fusion, gesture recognition, and spatial understanding. Implement real-time inference pipelines on embedded or edge devices. Collaborate with firmware and hardware teams to integrate ML models into XR systems. Analyze system performance and optimize for latency, power, and memory. Stay up to date with the latest research and trends in AI/ML and XR technologies. Contribute to the full lifecycle of product development"”from prototyping to production. Required Qualifications Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field. 1"“10 years of industry experience in AI/ML engineering or embedded systems. Proficiency in C++ and/or embedded firmware development . Solid understanding of machine learning fundamentals and experience with frameworks like TensorFlow , PyTorch , or ONNX . Experience with deploying ML models on edge devices Familiarity with XR technologies (AR/VR/MR), sensor data processing, or 3D spatial computing. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

We re looking for a Junior Quantitative Researcher to join a high-performing proprietary trading team. If you re passionate about solving complex problems using data, enjoy building models that uncover alpha, and want to take your early quant career to the next level, this is your opportunity. You will work closely with senior researchers and traders to design and deploy mid-frequency and high-frequency strategies in Indian and global markets. Key Responsibilities: Assist in the development and backtesting of quantitative trading strategies Analyze large datasets to identify inefficiencies and opportunities Research market microstructure and statistical patterns Write and optimize code for data processing and algorithm implementation Contribute to model validation, performance tuning, and live trading deployment Stay updated with current quantitative and financial research Key Requirements At least 2 5 years of experience in quantitative research or trading Strong programming skills in Python/R; familiarity with C++/C# is a plus Understanding of statistical modeling, regression, time-series analysis, and/or ML Strong analytical thinking, and team collaboration Bachelor s/Master s in Mathematics, Computer Science, Physics, Financial/Electrical Engineering, or any quantitative discipline from a Tier-1 institute (IITs, IISc, ISI, or top global universities)

About the team: Global Finance Operations & Transformation (GFO&T) is the unit responsible for the accounting and reporting of accurate and consistent financial information for Swiss Re for external reporting and internal analysis facilitating strategic decisionmaking. This includes IFRS for Group as well as statutory financial information for all Swiss Re legal entities, including SST and Solvency II. GFO&T spearheads the transformation of Global Finance, streamlining it towards a simpler, more effective forward-looking organization. We are a diverse team based out of Z rich, Bratislava and Bangalore, committed to bring alive the Finance of the Future within the Group Finance Operations & Transformation (GFO&T) organization. We transform our Finance operating model by standardizing, automating and integrating our Reporting & Processes along the Value Chain. We foster innovation by driving Business Use Cases in the areas of User Experience and Data Management. We work cross functionally with our colleagues in Finance, IT, and all other departments to eliminate silos. We therefore value effective communication skills on top of technical skills. About the role: The Reporting Solutions (GFO&T RS) team is at the core of the Global Finance Operations & Transformations (GFO&T) and focuses on providing a flexible and stakeholder-centric reporting infrastructure for the entire department. The team develops self-service reporting & drives innovation by creating new reporting solutions or tools or automations to enable people to work more efficiently. The team builds and provides operational reporting, management reporting, other internal-performance reporting while also supporting any audit or statutory reporting needs. The core activities of the Data Engineering Analyst (Data Engineer) in the GFO&T Reporting Stargate Solutions team include: Build our data backbone by integrating various Finance data systems using PySpark and open source as well as proprietary tools using Palantir Foundry Be part of the building up data or reporting solutions to address the business requirements or problems for either the home department (GFO&T) or the wider Finance organization Use knowledge of existing data to propose and provide better solutions Work with business users & stakeholders to understand bottlenecks in performing their day-to-day roles & either onboard to existing solutions or build new solutions Maintaining existing reporting platforms and performing change management activities as necessary Contributing to ad-hoc projects and supporting other team members as required Stay up to date with industry trends and best practices in data engineering, performance optimization, and financial data analysis. About you: Overall, 4 to 6 years of working experience in data engineering and reporting Proficiency in PySpark for data processing and management Proficiency in Palantir Foundry & its applications (building pipeline using code-repository, creating data-health Checks & Expectations, data analysis in Contour) Familiarity with Hadoop and Spark along with optimizing spark-based pipelines Data Model Design and implementation based on the requirements Able to convert the business problem / situation into technical implementation Familiarity with Financial Reporting & Valuations (like IFRS17) is an advantage Knowledge of current Visualization tools or TypeScript is an advantage Knowing multiple technologies HTML, CSS, JavaScript frameworks like React or Angular or D3.js or Chart.js or similar is a plus University degree (equivalent) in quantitative field (e.g. Mathematics, Statistics, Operations Research, Industrial engineering, Computer Science Engineering, Econometrics or Information Technology) Specific soft skills: Excellent command of spoken and written English Standout colleague with ability to build proactive, collaborative working relationships with peers and key partners based on respect and teamwork Inquisitive, proactive and willing to learn new technologies, understand insurance business and its economics Process and delivery mindset aspiring for methodological and operational improvements Ability to drive the reporting aspects of multiple ad-hoc projects and have good expectation management of partners About Swiss Re Swiss Re is one of the world s leading providers of reinsurance, insurance and other forms of insurance-based risk transfer, working to make the world more resilient. We anticipate and manage a wide variety of risks, from natural catastrophes and climate change to cybercrime. We cover both Property & Casualty and Life & Health. Combining experience with creative thinking and cutting-edge expertise, we create new opportunities and solutions for our clients. This is possible thanks to the collaboration of more than 14,000 employees across the world. If you are an experienced professional returning to the workforce after a career break, we encourage you to apply for open positions that match your skills and experience. Keywords: Reference Code: 134804

SFour Media Private Limited is looking for Data Entry Specialist to join our dynamic team and embark on a rewarding career journey Input and manage data for the organization Monitor and report on data entry performance metrics Ensure accuracy and completeness of data Collaborate with other team members on data entry projects Prepare data entry reports and documentation

Required for processing and analyzing data to provide actionable insights into market trends, consumer behavior, and competitive dynamics. This role involves ensuring data accuracy through cleaning and integration. The analyst uses statistical methods and visualization tools to interpret data and create detailed reports and dashboards. They collaborate with cross-functional teams to support strategic decision-making and continuously improve research methodologies. Strong analytical skills, proficiency in statistical software, and the ability to communicate findings effectively are essential for this position. Required to work from office. KEY JOB RESPONSIBILITIES: Perform data checks using Quantum, SPSS and Excel Writing data cleaning scripts Do data manipulation like labeling, stacking, recoding etc. Resolving client queries and updating their

About The Role : As a Senior Data Architect, you will be instrumental in shaping the banks enterprise data landscapesupporting teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. You will also serve as the go-to expert and trusted advisor on what good looks like in data architecture, helping to set high standards and drive continuous improvement across the organization. This role is ideal for an experienced data professional with deep technical expertise, strong solution architecture skills, and a proven ability to influence design decisions across both business and technology teams. Responsibilities 1. Enterprise Data Architecture & Solution Design Support teams in designing, evolving, and implementing data architectures that align with the enterprise target state and enable scalable, compliant, and interoperable solutions. Serve as the go-to person for data architecture best practices and standards, helping to define and communicate what good looks like to ensure consistency and quality. Lead and contribute to solution architecture for key programs, ensuring architectural decisions are well-documented, justified, and aligned to enterprise principles. Work with engineering and platform teams to design end-to-end data flows, integration patterns, data processing pipelines, and storage strategies across structured and unstructured data. Drive the application of modern data architecture principles including event-driven architecture, data mesh, streaming, and decoupled data services. 2. Data Modelling and Semantics Provide hands-on leadership in data modelling efforts, including the occasional creation and stewardship of conceptual, logical, and physical models that support enterprise data domains. Partner with product and engineering teams to ensure data models are fit-for-purpose, extensible, and aligned with enterprise vocabularies and semantics. Support modelling use cases across regulatory, operational, and analytical data assets. 3. Architecture Standards & Frameworks Define and continuously improve data architecture standards, patterns, and reference architectures that support consistency and interoperability across platforms. Embed standards into engineering workflows and tooling to encourage automation and reduce delivery friction. Measure and report on adoption of architectural principles using architecture KPIs and compliance metrics. 4. Leadership, Collaboration & Strategy Act as a technical advisor and architectural leader across initiatives mentoring junior architects and supporting federated architecture teams in delivery. Build strong partnerships with senior stakeholders across the business, CDIO, engineering, and infrastructure teams to ensure alignment and adoption of architecture strategy. Stay current with industry trends, regulatory changes, and emerging technologies, advising on their potential impact and application. Skills Extensive experience in data architecture, data engineering, or enterprise architecture, preferably within a global financial institution. Deep understanding of data platforms, integration technologies, and architectural patterns for real-time and batch processing. Proficiency with data architecture tools such as Sparx Enterprise Architect, ERwin, or similar. Experience designing solutions in cloud and hybrid environments (e.g. GCP, AWS, or Azure), with knowledge of associated data services. Hands-on experience with data modelling, semantic layer design, and metadata-driven architecture approaches. Strong grasp of data governance, privacy, security, and regulatory complianceespecially as they intersect with architectural decision-making. Strategic mindset, with the ability to connect architectural goals to business value, and communicate effectively with technical and non-technical stakeholders. Experience working across business domains including Risk, Finance, Treasury, or Front Office functions. Well-being & Benefits Emotionally and mentally balanced: we support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness. A professional, passionate, and fun workplace with flexible Work from Home options. A modern office with fun and relaxing areas to boost creativity. Continuous learning culture with coaching and support from team experts. Physically thriving we support you managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive Private healthcare and life insurance with premium benefits for you and discounts for your loved ones. Socially connected: we strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and wellbeing. Kids@TheOffice - support for unexpected events requiring you to care for your kids during work hours. Enjoy retailer discounts, cultural and CSR activities, employee sport clubs, workshops, and more. Financially secure: we support you to meet personal financial goals during your active career and for the future Competitive income, performance-based promotions, and a sense of purpose. 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays). We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

India s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Technology & Transformation is about much more than just the numbers. It s about attesting to accomplishments and challenges and helping to assure strong foundations for future aspirations. Deloitte exemplifies what, how, and why of change so you re always ready to act ahead. Learn more about Technology & Transformation Practice Your work profile As an Assistant Manager in our Cyber Team, you ll build and nurture positive working relationships with teams and clients with the intention to exceed client expectations: - Develop data protection policies and procedures in accordance with privacy laws and regulations for clients Conduct assessments to identify potential data privacy and protection risks and develop mitigation strategies for clients as per their requirements Monitor and evaluate data processing activities to ensure compliance with data protection laws and company policies as per client requirements Provide guidance and support to the clients on conducting data protection impact assessments (DPIAs), conducting risk assessments, data governance, application, privacy impact assessments. Design and build security / privacy framework, design/re-design processes and privacy controls to ensure framework development for clients Recommend creative privacy solutions and participate in discussions regarding the recommendations with various stakeholders, define privacy metrics and corresponding dashboards for monitoring and reporting purposes Collaborate with internal teams to raise awareness of data protection policies and practices. Stay informed about global developments in data protection laws and regulations and update policies and procedures accordingly. Develop proposals and engagement letters as per client requirements for project deliverables Work on risk formalities as per internal requirements for project work Develop records of data processing activities and data protection compliance efforts as per client requirements Desired qualifications Bachelors degree in law, information technology, or a related field. CIPT/CIPM/CIPPE or any other related certifications preferred. Minimum of 3-5 years of experience in data protection or privacy compliance. In-depth knowledge of data protection laws and regulations, particularly the Personal Data Protection Bill in India. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Ability to work independently and collaboratively in a fast-paced environment. Location and way of working Base location: Bangalore, Mumbai, Delhi This profile involves frequent travelling to client locations. Your role as an Assistant Manager We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Assistant Manager across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction for the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte. Empathetic leadership and inclusivity - creating a safe and thriving environment where everyones valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Repor t a nd our India Impact Repor t . Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young Worl d partnership . Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities . Know mor e about everyday steps that you can take to be more inclusive . A t Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte . Everyone s welcome entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you re applying to. Check out recruitin g tips from Deloitte professionals .

Job Title: Markit EDM Developer Location: [India / USA] Job Type: Full-time Experience Level: Senior (5+ years)] Job Summary: We are seeking an experienced Markit EDM Developer to join our Data Management team. The ideal candidate will be responsible for designing, developing, and maintaining enterprise data workflows using the IHS Markit EDM (Enterprise Data Management) platform. This role plays a key part in supporting our data integration, governance, and reporting initiatives. Key Responsibilities: Design, develop, and configure data workflows and processes using Markit EDM. Work with business analysts and data owners to gather requirements and translate them into technical specifications. Build and maintain data mapping, validations, golden copy rules, and exception management. Integrate Markit EDM with upstream and downstream systems (e.g., data warehouses, trading platforms, reference data sources). Monitor and troubleshoot batch jobs and real-time data processing issues. Optimize system performance and data processing speeds. Maintain detailed technical documentation and participate in code reviews. Ensure compliance with data governance and quality standards. Collaborate with QA and DevOps teams for testing and deployment. Provide Level 2/3 support and assist with production issues as needed. Required Skills & Qualifications: 3+ years of hands-on experience with Markit EDM. Strong knowledge of SQL Server (T-SQL), stored procedures, indexing, and performance tuning. Experience with data modeling, data integration, and data quality frameworks. Strong understanding of financial instruments, reference data, pricing, and corporate actions (preferred in financial services). Familiarity with ETL tools, data lakes, and data warehouses. Understanding of XML, XSD, JSON, and Web Services. Exposure to Agile/Scrum methodologies and DevOps practices. Excellent problem-solving skills, attention to detail, and communication skills. Preferred (Nice to Have): Experience with cloud platforms (AWS, Azure, GCP). Knowledge of Python, PowerShell, or other scripting languages. Understanding of data governance tools and MDM (Master Data Management). Familiarity with financial regulations and reporting requirements (MiFID II, SFTR, etc.). Educational Qualifications: Bachelor s or master s degree in computer science, Engineering, Information Systems, or related field. Business Support Hours: 2:00pm - 11:00pm IST

Gathering, collating, and preparing documents, materials, and information for data entry. Conducting research to obtain information for incomplete documents and materials. Creating digital documents from paper or dictation. Required Candidate profile Proficiency in data capturing and office management software such as MS Office and Google Suite. The ability to manage and process high volumes of data accurately. Good understanding of databases. Perks and benefits Travel benefits. Paid sick leave. Gratuity.

Project Role : Data & Document Mmgt Processor Project Role Description : Perform end to end document management services according to service level agreements. This includes data digitization, data indexing, document scanning and maintenance etc. Support initiatives with a focus on continuous improvement. Must have skills : Business Requirements Analysis Good to have skills : AWS ArchitectureMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationMust Have Skills: (POD 3 and other BAs)7+ years experience in Capital Markets domain (Asset & Wealth management:front office processes, including research, ratings, portfolio management and trading)Core BA Skills requirement elicitation, impact analysis, requirement documentation, user stories creation, DOD, Working with PO finalizing PB, test support, business readiness along with JIRA + Confluence know-howStrong communication skillsAbility to query databases and data sources to support requirements gathering approach (SQL, AWS) Qualification 15 years full time education

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : PySpark Good to have skills : NAMinimum 2 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your day will involve collaborating with team members to ensure the successful implementation of software solutions, while also performing maintenance and enhancements to existing applications. You will be responsible for delivering high-quality code and contributing to the overall success of the projects you are involved in, ensuring that all components function seamlessly and meet client requirements. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.- Conduct code reviews to ensure adherence to best practices and coding standards. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark and AZURE Synapse.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to data processing.- Ability to troubleshoot and optimize performance issues in application code. Additional Information:- The candidate should have minimum 2 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function smoothly and efficiently. You will also engage in problem-solving discussions and contribute innovative ideas to enhance application performance and user experience. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark.- Strong understanding of data processing and transformation techniques.- Experience with distributed computing frameworks.- Familiarity with cloud platforms and services.- Ability to troubleshoot and optimize application performance. Additional Information:- The candidate should have minimum 3 years of experience in Apache Spark.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with team members to understand project needs, developing application features, and ensuring that the applications function seamlessly within the business environment. You will also engage in testing and troubleshooting to enhance application performance and user experience, while continuously seeking ways to improve processes and solutions. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in code reviews to ensure quality and adherence to best practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark.- Good To Have Skills: Experience with data processing frameworks.- Strong understanding of distributed computing principles.- Familiarity with cloud platforms and services.- Experience in developing and deploying applications in a microservices architecture. Additional Information:- The candidate should have minimum 3 years of experience in Apache Spark.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : Python (Programming Language), ScalaMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. A typical day involves collaborating with various teams to understand their needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will engage in problem-solving activities, participate in team meetings, and contribute to the overall success of projects by delivering high-quality applications that align with business objectives. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve application performance and user experience. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Good To Have Skills: Experience with Python (Programming Language), Scala.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to application development. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Azure Data Services Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that the applications developed meet both user needs and technical requirements. Your role will be pivotal in fostering a collaborative environment that encourages innovation and problem-solving among team members. Roles & Responsibilities:Minimum of 4 years of experience in data engineering or similar roles.Proven expertise with Databricks and data processing frameworks.Technical Skills SQL, Spark, Py spark, Databricks, Python, Scala, Spark SQLStrong understanding of data warehousing, ETL processes, and data pipeline design.Experience with SQL, Python, and Spark.Excellent problem-solving and analytical skills.Effective communication and teamwork abilities. Professional & Technical Skills: Experience and knowledge of Azure SQL Database, Azure Data Factory, ADLS Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Azure Data Services.- This position is based in Pune.- A 15 year full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : Google Cloud Platform ArchitectureMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and usable for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and maintain robust data pipelines to support data processing and analytics.- Collaborate with data architects and analysts to design data models that meet business requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).- Good To Have Skills: Experience with Google BigQuery, Google Cloud Platform Architecture.- Strong understanding of ETL processes and data integration techniques.- Experience with data quality assurance and data governance practices.- Familiarity with data warehousing concepts and technologies. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Procedural Language Extensions to SQL (PLSQL).- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Oracle Procedural Language Extensions to SQL (PLSQL) Good to have skills : Google BigQuery, Google Cloud Platform ArchitectureMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs. Additionally, you will monitor and optimize data workflows to enhance performance and reliability, ensuring that data is accessible and actionable for stakeholders. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Develop and maintain robust data pipelines to support data processing and analytics.- Collaborate with data architects and analysts to design data models that meet business requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Oracle Procedural Language Extensions to SQL (PLSQL).- Good To Have Skills: Experience with Google BigQuery, Google Cloud Platform Architecture.- Strong understanding of ETL processes and data integration techniques.- Experience with data quality assurance and data governance practices.- Familiarity with data warehousing concepts and technologies. Additional Information:- The candidate should have minimum 3 years of experience in Oracle Procedural Language Extensions to SQL (PLSQL).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : PySpark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team in implementing effective solutions. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that all stakeholders are informed and involved in the development process. Your role will be pivotal in fostering a collaborative environment that encourages innovation and efficiency in application development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in PySpark.- Strong understanding of data processing frameworks and distributed computing.- Experience with data integration and ETL processes.- Familiarity with cloud platforms and services related to data processing.- Ability to troubleshoot and optimize performance of applications. Additional Information:- The candidate should have minimum 5 years of experience in PySpark.- This position is based in Coimbatore.- A 15 years full time education is required. Candidate should be ready to work in rotational shift Qualification 15 years full time education

Global Gen AI Developer Enabling a software-defined, electrified future. Visteon is a technology company that develops and builds innovative digital cockpit and electrification products at the leading-edge of the mobility revolution. Founded in 2000, Visteon brings decades of automotive intelligence combined with Silicon Valley speed to apply global insights that help transform the software-defined vehicle of the future for many of the worlds largest OEMs. The company employs 10,000 employees in 18 countries around the globe. To know more about us click here. Mission of the Role: Facilitate Enterprise machine learning and artificial intelligence solutions using the latest technologies Visteon is adopting globally. Key Objectives of this Role: The primary goal of the Global ML/AI Developer is to leverage advanced machine learning and artificial intelligence techniques to develop innovative solutions that drive Visteons strategic initiatives. By collaborating with cross-functional teams and stakeholders, this role identifies opportunities for AI-driven improvements, designs and implements scalable ML models, and integrates these models into existing systems to enhance operational efficiency. Following development best practices, fostering a culture of continuous learning, and staying abreast of AI advancements, the Global ML/AI Developer ensures that all AI solutions align with organizational goals, support data-driven decision-making, and continuously improve Visteons technological capabilities. Qualification, Experience and Skills: 6-8 Yrs Technical Skills: Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R, SQL), and data processing tools (e.g., Apache Spark, Hadoop). Proficiency in developing, training, and deploying ML models, including supervised and unsupervised learning, deep learning, and reinforcement learning. Strong understanding of data engineering concepts, including data preprocessing, feature engineering, and data pipeline development. Experience with cloud platforms (preferably Microsoft Azure) for deploying and scaling ML solutions. Business Acumen : Strong business analysis and ability to translate complex technical concepts into actionable business insights and recommendations. Key Behaviors: Innovation: Continuously seeks out new ideas, technologies, and methodologies to improve AI/ML solutions and drive the organization forward. Attention to Detail: Pays close attention to all aspects of the work, ensuring accuracy and thoroughness in data analysis, model development, and documentation. Effective Communication: Clearly and effectively communicates complex technical concepts to non-technical stakeholders, ensuring understanding and alignment across the organization.

In this role, you will: Perform moderately complex operations duties in support of either a service center or department environment Require considerable knowledge of company personnel policies and practices Collect data and prepare related operational reports Prepare input forms for automated data processing system Utilize the company's internal operations to perform duties Coordinate projects Furnish information to authorized persons Provide guidance to all levels of employees regarding personnel policies and procedures requiring some policy interpretation Required Qualifications: 2+ years of operations support experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

Job description The people analytics developer will play a pivotal role in the people analytics team, working with data in the Apple enterprise data warehouse from multiple systems across the Apple HRIS landscape to derive powerful insights for leadership and build analytical products which drive a positive employee experience across Apple In this position you will: - Design, develop, and deploy reports, analytics and dashboards for Source-to-Hire-to-Retire cycle to enable business to take data driven decisions- Collaborate with business partners, regional coordinators and leaders to identify business reporting requirements - Use Reporting/Analytics tools like Tableau to develop dashboards and reports - Re-model database architecture, semantics, schemas and views to meet the business requirements- Maintain existing analytics products and their codebase - Ensure successful delivery of new feature implementations - Re-engineer existing reporting ecosystem for improvement, simplification, standardization, and security - Adhere to all policies, standards and practices defined by Apple Data Compliance and Security team 6+ years of experience in developing and maintaining reports and analytics using analytical reporting tools with specific emphasis on Tableau. Bachelors degree or equivalent experience in Computer Science, Information Management Systems, Data Science, or related field. Knowledge of data visualisation and appropriate application of charting tools to produce dashboards which can be used to identify data insights. Preferred Qualifications The role requires technical expertise in advanced analytics techniques leveraging SQL-development, data visualisation and charting and statistical analysis as well as strong familiarity with a variety of different analytics technologies & tools. The following outlines the areas of expertise required to perform the functions of this role: Familiarity with HR analytics and reporting tools for measuring HR performance and employee satisfaction. Strong data engineering skills including expertise in SQL to develop optimised data sets for use across analytics products. Good knowledge of Snowflake enterprise data warehouse technology and relational database technologies such as MySQL and Postgres. Translation of high level, often vague business requirements into a tangible prototype to drive discussion and further iterations to find the right solution. Proactively assess new tasks coming to the team via the intake process, quickly assess priority and take appropriate action to resolve or reach out. Comfortable managing multiple priorities and setting customer expectations appropriately. Influence technology direction of the team to enhance the teams toolset and skills. Maintain consistent and effective communications globally with partner teams, managers and leadership to ensure insight to the work being done. Foster a positive, humble and open culture in any team and consistently exhibit Apple values of inclusion, trust and respect for others. Certifications in Data Science, Reporting & Analytics tools Knowledge of more advanced data processing techniques using Python libraries such as Numpy & Pandas, as well as awareness of data science libraries for use in statistical analysis techniques