1578 Data Processing Jobs - Page 10

Be a Privacy SME in the Data Privacy and Protection Office (DPPO) team against the background of a continually changing privacy landscape: Lead the privacy review of Business Process Operations (BPO) Client solutions as Data Privacy/Protection, Regulations and Compliance (DPRC) SME. BPO solutions are becoming increasingly complex with focus on client needs and Generative AI. The DPRC SME must analyze the solution from a privacy perspective, probing to understand the type of solution and key elements such as data types, locations of controllers/processors and tools and applying SME knowledge to assess and document the privacy impacts of the solution before closing-out the mandatory DPRC Review. Provide consulting to Solutions Architects, Technical Service Managers, Bid Managers and other key stakeholders on the impact of privacy regulations for potential solutions and deliver education and coaching on the associated processes Review and share privacy inputs for RFPs (Request for Proposal) optimizing use of standard responses Provide Data Privacy SME input to contracting activities Be the privacy focal from within the BPO DPPO team for multiple privacy regulations and IBM/IBM Consulting/BPO DPPO processes Engage in other privacy activities to support BPO and IBM Consulting Global BISO (Business Information Security Office) priorities and initiatives, leading specific activities as required Actively engage in and contribute to the Agile activities, process improvements and innovation being driven across the BPO DPPO squad: Adopt the Agile tools and processes used by the BPO DPPO squad, and act as Iteration Manager for the Agile initiative on a rotational basis Continually look for opportunities to drive process and AI improvements and innovation, sharing ideas and working with the squad to assess opportunities and drive change. Lead relevant activities across the squad and non-DPPO teams. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Privacy SME knowledge and expertise demonstrated through experience of working within a privacy role Excellent written and verbal communication (English) skills with ability to consult, educate and coach stakeholders Effective collaboration skills with ability to engage with stakeholders across the organization and be an effective and proactive team player within the BPO DPPO squad Drive to achieve including deliverables, innovation and change Ability to probe and challenge data and processes to drive excellence in E2E deliverables Experienced user of Microsoft Office tools Excel, Word and Powerpoint A continual learner who is committed to growing skills and expertise as both a Data Privacy SME and IBMer Preferred technical and professional experience Privacy certifications such as CIPP/E Knowledge of multiple privacy regulations such as GDPR, CPRA, LGPD, PIPL etc Experience of working with privacy related contract documents such as DPA, DPA Exhibit and SCCs - Data Processing Addendum, DPA Exhibit, Standard Contractual Clauses Experience of Agile working and use of Agile tools such as monday.com and Mural Experience of using and applying GenAI assistants and agents across business processes

Job_Description":" OSP India, now part of one.O. OSP India - Hyderabad Private Limited takes a significant step forwardin its evolution by becoming part of Otto Group one.O, the new central,high-performance partner for strategy consulting and technology for the OttoGroup. This strengthens our mission to deliver innovative IT solutions forcommerce and logistics, combining experience, technology, and a global visionto lead the digital future. OSP Indianame transition OSP India will adopt the name Otto Group one.O in the future, followingour headquarters rebranding. We want to assure you that this brand name changewill not affect your role, job security, or our company culture. Thistransition aligns us with our global teams in Germany, Spain, and Taiwan andenhances our collaboration moving forward Job Overview:We are seeking a skilled and experienced Senior Python Developer with strong expertise in Google Cloud Platform (GCP), data analytics, and infrastructure automation using Terraform. The candidate will play a key role in building scalable data solutions, implementing secure cloud services, and driving actionable insights through analytics. Requirements Design, develop, and maintain scalable Python applications for data processing and analytics. Utilize GCP services including IAM, BigQuery, Cloud Storage, Pub/Sub, and others. Build and maintain robust data pipelines and ETL workflows. Collaborate with analytics teams to transform data into valuable business insights. Develop and manage infrastructure using Terraform (IaC). Ensure data quality, integrity, and governance across all systems. Participate in architectural decisions, code reviews, and agile ceremonies. Required Skills and Experience: 5 to 10 years of hands-on experience with Python development. Proficient in the Pandas library for data manipulation and analysis. Strong working knowledge of GCP (especially IAM, BigQuery, Cloud Functions, Cloud Storage). Experience in designing and deploying data analytics and ETL pipelines. Proficiency with Terraform and Infrastructure as Code practices. Strong analytical skills and ability to derive insights from large datasets. Understanding of best practices around data quality, security, and compliance. Preferred Qualifications: Experience with MongoDB is an advantage. GCP Certification (e.g., Professional Data Engineer or Cloud Architect). Familiarity with Docker and Kubernetes. Exposure to CI/CD tools and DevOps practices. Strong collaboration and communication skills. Benefits Flexible Working Hours: Support for work-lifebalance through adaptable scheduling. Comprehensive Medical Insurance: Coverage foremployees and families, ensuring access to quality healthcare. Hybrid Work Model: Blend of in-officecollaboration and remote work opportunities, with four days a week in theoffice.

At Mindrift , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role This is a freelance role for a project, and your typical tasks may include: Develop and submit precise answers based on complex prompts, including coding, automation, and data processing tasks. Write and optimize Python scripts for data analysis, automation, and verification. Work with large datasets efficiently, ensuring data is clean and well-structured. Utilize various LLMs to generate advanced prompts and improve AI output quality. Format outputs in required structures such as Markdown, JSON, tables, etc. Identify and troubleshoot non-trivial technical problems related to AI workflows and integrations. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you ll help shape the future of AI while ensuring technology benefits everyone. You hold a Master s or Bachelors degree in Engineering, Applied Mathematics, Computer Science, or related technical fields. You have a strong technical background and hands-on experience with LLMs and A

Key Responsibilities: 1. Responsible for data related activities and data management. 2. Research the required data and store in Google sheet 3. Processing data and information according to the guidelines 4. Support sales, recruitment and projects team with the enough data 5. Extract data through web scraping and using the latest tools. 6. Data verification and maintaining databases 7. Find new tools and working methods to acquire data 8. Conduct client outreach as necessary or when required. Qualifications: Any degree Proficient in MS Excel Good communication skills Good internet searching capabilities Ability to work independently Strong interest in learning eCommerce, and research tools

Key Responsibilities: SAP BW on HANA Implementation: Design, develop, and implement SAP BW on HANA solutions, including data modeling, ETL processes, and reporting. Data Modeling: Develop and maintain SAP BW data models, including InfoObjects , DataStore Objects (DSOs) , Advanced DataStore Objects (ADSOs) , InfoCubes , and CompositeProviders using SAP HANA . ETL Processes: Build and optimize data extraction, transformation, and loading (ETL) processes from various source systems (SAP and non-SAP) using SAP BW on HANA tools (e.g., Data Services , SLT , BODS ). Performance Optimization: Optimize SAP BW on HANA system performance through tuning of data models, process chains, and HANA views, ensuring fast and efficient data processing. Integration: Integrate data from multiple sources, both SAP and non-SAP systems, into SAP BW on HANA for reporting and analytics. Reporting and Analytics: Support business users in reporting and analytics by working with tools like SAP Business Explorer (BEx) , SAP BusinessObjects (BO) , and SAP Analytics Cloud (SAC) . Data Migration and Upgrades: Assist in the migration and upgrade of older SAP BW systems to SAP BW on HANA and ensure a smooth transition to the HANA-based platform. Monitoring and Troubleshooting: Monitor and troubleshoot SAP BW on HANA environments, resolve data load and performance issues, and ensure high availability and reliability. Collaboration with Business: Work closely with business stakeholders and end-users to gather requirements, translate business needs into technical solutions, and implement them within the SAP BW on HANA system. Documentation and Knowledge Sharing: Create and maintain technical documentation, including data models, process chains, and ETL procedures. Share knowledge and best practices with team members.

Manager Senior Data Engineer The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the worlds greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview Our IT team operates as a business partner proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver the services and solutions that help everyone to be more productive and enable innovation. The candidate will work with a globally diverse set of teams which includes SAP Basis, Security, ABAP, SAP functional team members, Infrastructure team and other IT process partners providing support for existing and new initiatives. The candidate will work closely with and advise the SAP Technical Architect on architectural topics and new applications / technologies to be integrated. The candidate will lead some cross-functional projects, relied upon to answer complex questions, and assists with program-wide initiatives. Our organization is on a transformation journey and we envision using newer SAP technologies and infrastructure as part of this transformation and the candidate must have exposure to these new technologies. It is expected that the candidate will be able to both lead technical initiatives and be hands-on. Responsibilities Designs, builds, and maintains data pipeline architecture - ingest, process, and publish data for consumption. Batch processes collected data, formats data in an optimized way to bring it analyze-ready Ensures best practices sharing and across the organization Enables delivery of data-analytics projects Develops deep knowledge of the companys supported technology; understands the whole complexity/dependencies between multiple teams, platforms (people, technologies) Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem Understands the customer and stakeholders business needs/priorities and helps building solutions that support our business goals Establishes and manages the close relationship with customers/stakeholders Has overview of the date engineering market development to be able to come up/explore new ways of delivering pipelines to increase their value/contribution Builds community of practice leveraging experience from delivering complex analytics projects Is accountable for ensuring that the team delivers solutions with high quality standards, timeliness, compliance and excellent user experience Contributes to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria Qualifications: Bachelor s degree in Computer Science, Data Science, Information Technology, Engineering or a related field. 3+ plus years of experience as a Data Engineer or in a similar role, with a strong portfolio of data projects. 3+ plus years experience SQL skills, with the ability to write and optimize queries for large datasets. 1+ plus years experience and proficiency in Python for data manipulation, automation, and pipeline development. Experience with Databricks including creating notebooks and utilizing Spark for big data processing. Strong experience with data warehousing solution (such as Snowflake), including schema design and performance optimization. Experience with data governance and quality management tools, particularly Collibra DQ. Strong analytical and problem-solving skills, with an attention to detail. Who we are: What we look for: #HYDIT2025 Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business, Business, Business Intelligence (BI), Business Management, Contractor Management, Cost Reduction, Database Administration, Database Optimization, Data Engineering, Data Flows, Data Infrastructure, Data Management, Data Modeling, Data Optimization, Data Quality, Data Visualization, Design Applications, Information Management, Management Process, Operating Cost Reduction, Productivity Improvements, Project Engineering, Social Collaboration, Software Development, Software Development Life Cycle (SDLC) {+ 1 more} Preferred Skills: Job Posting End Date: 07/22/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Manager Senior Data Engineer The Opportunity Based in Hyderabad, join a global healthcare biopharma company and be part of a 130- year legacy of success backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. Be part of an organisation driven by digital technology and data-backed approaches that support a diversified portfolio of prescription medicines, vaccines, and animal health products. Drive innovation and execution excellence. Be a part of a team with passion for using data, analytics, and insights to drive decision-making, and which creates custom software, allowing us to tackle some of the worlds greatest health threats. Our Technology Centers focus on creating a space where teams can come together to deliver business solutions that save and improve lives. An integral part of our company s IT operating model, Tech Centers are globally distributed locations where each IT division has employees to enable our digital transformation journey and drive business outcomes. These locations, in addition to the other sites, are essential to supporting our business and strategy. A focused group of leaders in each Tech Center helps to ensure we can manage and improve each location, from investing in growth, success, and well-being of our people, to making sure colleagues from each IT division feel a sense of belonging to managing critical emergencies. And together, we must leverage the strength of our team to collaborate globally to optimize connections and share best practices across the Tech Centers. Role Overview Our IT team operates as a business partner proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver the services and solutions that help everyone to be more productive and enable innovation. The candidate will work with a globally diverse set of teams which includes SAP Basis, Security, ABAP, SAP functional team members, Infrastructure team and other IT process partners providing support for existing and new initiatives. The candidate will work closely with and advise the SAP Technical Architect on architectural topics and new applications / technologies to be integrated. The candidate will lead some cross-functional projects, relied upon to answer complex questions, and assists with program-wide initiatives. Our organization is on a transformation journey and we envision using newer SAP technologies and infrastructure as part of this transformation and the candidate must have exposure to these new technologies. It is expected that the candidate will be able to both lead technical initiatives and be hands-on. Responsibilities Designs, builds, and maintains data pipeline architecture - ingest, process, and publish data for consumption. Batch processes collected data, formats data in an optimized way to bring it analyze-ready Ensures best practices sharing and across the organization Enables delivery of data-analytics projects Develops deep knowledge of the companys supported technology; understands the whole complexity/dependencies between multiple teams, platforms (people, technologies) Communicates intensively with other platform/competencies to comprehend new trends and methodologies being implemented/considered within the company ecosystem Understands the customer and stakeholders business needs/priorities and helps building solutions that support our business goals Establishes and manages the close relationship with customers/stakeholders Has overview of the date engineering market development to be able to come up/explore new ways of delivering pipelines to increase their value/contribution Builds community of practice leveraging experience from delivering complex analytics projects Is accountable for ensuring that the team delivers solutions with high quality standards, timeliness, compliance and excellent user experience Contributes to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria Qualifications: Bachelor s degree in Computer Science, Data Science, Information Technology, Engineering or a related field. 5+ plus years of experience as a Data Engineer or in a similar role, with a strong portfolio of data projects. 3+ plus years experience SQL skills, with the ability to write and optimize queries for large datasets. 1+ plus years experience and proficiency in Python for data manipulation, automation, and pipeline development. Experience with Databricks including creating notebooks and utilizing Spark for big data processing. Strong experience with data warehousing solution (such as Snowflake), including schema design and performance optimization. Experience with data governance and quality management tools, particularly Collibra DQ. Strong analytical and problem-solving skills, with an attention to detail. Who we are: What we look for: Current Employees apply HERE Current Contingent Workers apply HERE Search Firm Representatives Please Read Carefully Employee Status: Regular Relocation: VISA Sponsorship: Travel Requirements: Flexible Work Arrangements: Hybrid Shift: Valid Driving License: Hazardous Material(s): Required Skills: Business Intelligence (BI), Database Administration, Data Engineering, Data Management, Data Modeling, Data Visualization, Design Applications, Information Management, Software Development, Software Development Life Cycle (SDLC), System Designs Preferred Skills: Job Posting End Date: 07/22/2025 *A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

This job will drive the strategic vision and development of cutting-edge machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences. Job Description Essential Responsibilities Define and drive the strategic vision for machine learning initiatives at the organizational level. Lead the development and optimization of state-of-the-art machine learning models. Oversee the preprocessing and analysis of large datasets. Deploy and maintain ML solutions in production environments. Collaborate with cross-functional teams to integrate ML models into products and services. Monitor and evaluate the performance of deployed models, making necessary adjustments. Mentor and guide junior engineers and data scientists. Publish research findings and contribute to industry discussions. Represent the company at conferences and external engagements. Influence the direction of the companys AI/ML strategy and contribute to long-term planning. Minimum Qualifications Minimum of 18 years of relevant work experience and a Bachelors degree or equivalent experience. Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn. Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment. Recognized as an industry expert with a strong publication record.

Location- Hyderabad Job model - Hybrid Purpose of the job We are looking for a proactive and customer-focused Data Scientist to support logistics operations and enhance the customer experience through advanced track and trace analytics. This role will focus on integrating and analyzing shipment data from TransVoyant s platform and external logistics service providers (LSPs) to ensure accurate, timely, and actionable visibility into supply chain movements. At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work to not only benefit our People, Cusotmers & Communities but also drive business value. Equal access to opportunities is a given, belonging is a shared feeling, authencity is celebrated. Key Responsibilities Develop and maintain data models and analytics to support real-time shipment tracking and traceability. Integrate and harmonize data from TransVoyant and third-party LSP platforms (e.g., carriers, freight forwarders, 3PLs). Identify and resolve data gaps or inconsistencies that impact shipment visibility and customer experience. Collaborate with logistics operations, customer service, and business units teams to define KPIs and improve logistics track & trace workflows. Build predictive reports and dashboards to anticipate delays, disruptions, or exceptions in the supply chain. Create dashboards and visualizations to communicate shipment status, trends, and performance metrics.Support root cause analysis and continuous improvement initiatives related to logistics performance. We bring The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose A flexible work environment that empowers people to take accountability for their work and own the outcome An eagerness to be one team and learn from each other to bring progress to life and create a better future Barrier-free communities within our organization where every employee is equally valued and respected - regardless of their background, beliefs, or identity A culture that prioritizes safety and well-being, both physically and mentally A space to grow by encouraging and supporting curiosity and an open mindset You bring Bachelor s or Master s degree in Data Science, Supply Chain Management, Computer Science, or a related field.5+ years of experience in data science or analytics roles, preferably in logistics or transportation.Strong knowledge o f shipment tracking systems, EDI/API integrations, and logistics data standards. Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau).Experience working with real-time or near-real-time data streams. Excellent problem-solving skills and a customer-centric mindset.Experience with real-time data processing and streaming technologies Comfortable using Microsoft Excel to analyze and summarize data, including graphs, charts, formulas, functions, solvers, and regression analysis. Ability to work in a fast-paced environment while managing multiple projects/priorities simultaneously.Excellent attention to detail, problem-solving, organizational and prioritization skills, Strong communication skills to collaborate effectively with cross-functional teams and present findings to both technical and non-technical audiences.Knowledge of supply chain, transportation and logistics operations is a plus. Familiarity with platforms such as TransVoyant, FourKites, Project44, or similar Logistics Service Providers visibility tools .Experience with machine learning models for ETA prediction or anomaly detection.Understanding of global transportation modes (ocean, air, road, rail) and logistics operations

Description & Requirements We are seeking a Contact Data Process Principal within Sales Operations team, responsible for designing and maintaining workflows that optimize contact data acquisition and enrichment. This role involves defining enrichment workflows, prioritizing data sets based on regional needs, industry focus, and business motions, and managing vendor relationships to enhance data quality and coverage. They will be primarily responsible for designing, operationalizing, and optimizing the contact enrichment process. Key Responsibilities: Create and document acquisition and enrichment framework to ensure structured and efficient contact data processes. Review effectiveness of enrichment efforts to assess impact and refine strategies. Prioritize areas of focus for targeted enrichment and acquisition based on business needs. Operationalize acquisition efforts to streamline data collection and integration. Manage data vendor enrichment priorities by region to ensure optimal data coverage. Coordinate intake with contractor team efforts. Report and resolve workflow blockers. Report enrichment progress and success metrics. Requirements: 4+ years of experience in Sales/Marketing Operations, or Data Governance, or a related field. Proven experience in data process management, preferably in a sales operations environment. Strong analytical skills with expertise in data enrichment and workflow optimization. Familiarity with Salesforce (SFDC) and data vendors like ZoomInfo or other contact enrichment platforms. Ability to evaluate and manage vendor relationships and negotiate SLAs. Excellent problem-solving skills and ability to resolve workflow blockers efficiently. Strong project management skills. Strong communication skills to present insights and progress reports to stakeholders. Benefits: Competitive salary and performance incentives. Opportunity to take part in a high-impact contact data project. Career growth opportunities within a dynamic and diverse team. Flexible work environment with cutting-edge tools and resources.

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Responsibilities This role is accountable for Designing and Implementing Integrations Build, deploy, and maintain integrations using cloudnative services (AWS, GCP) and middleware tools. API and EventDriven Architectures Develop and manage APIs, API gateways, and Kafkabased event streaming solutions for realtime data processing. Scalability and Performance Optimization Ensure integrations are robust, secure, and optimized for performance and costeffectiveness. Monitoring and Troubleshooting Proactively identify and resolve integration failures, ensuring system reliability and minimal downtime. Collaboration and Documentation Work with crossfunctional teams to understand integration needs and maintain clear technical documentation. Mandatory skill sets Must have knowledge, skills and experiences Strong understanding of CI/CD pipelines and Infrastructure as code principles such as Terraform. Experience with CI/CD tooling such as GitHub, Jenkins, Codefresh , Docker, Kubernetes. Experienced in building RestFul API s using Java (Springboot). Experienced in AWS development environment and ecosystem Cloud native and digital solutioning leveraging emerging technologies incl. containers, serverless, data, API and Microservices etc Experience with measuring, analysing, monitoring, and optimizing cloud performance including cloud system reliability and availability Understanding of storage solutions, networking, and security. Strong Familiarity with cloud platform specific Well Architected Frameworks Production experience of running services in Kubernetes. Preferred skill sets Good to have knowledge, skills and experiences The good to have knowledge, skill and experience (KSE) the role requires are MultiCloud Experience Exposure to both AWS and GCP integration services and the ability to work across different cloud providers. Message Queue Systems Experience with messaging systems like RabbitMQ, ActiveMQ, or Google Cloud Pub/Sub Serverless Architectures Handson experience with serverless computing and eventdriven workflows. Observability and Logging Knowledge of monitoring and logging tools such as Prometheus, Grafana, AWS CloudWatch, or GCP Stackdriver. Security Best Practices Understanding of cloud security, encryption, and compliance frameworks (e.g., IAM policies, SOC2, GDPR). Testing and Automation Knowledge of API testing frameworks (Postman, Karate, or REST Assured) and automation testing for integrations. Kubernetes and Containerization Experience deploying and managing integrations in containerized environments using Kubernetes (EKS/GKE). Networking Concepts Understanding of VPCs, private link, service mesh, and hybrid cloud connectivity. Knowledge of ANZ Retail and Commercial Banking Systems Familiarity with ANZ banking technology ecosystems, core banking platforms, payment systems, and regulatory requirements. Years of experience required o 7 to 8 years (23 years relevant) Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field of Study preferred Required Skills Power BI Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more} No

Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm's mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. About the roleWe are hiring an experienced and detail-oriented MIS Executive to manage and streamline Fastag Operations reporting and data processes. The ideal candidate will be responsible for handling large datasets, building insightful reports, and driving data-backed decision-making across operational teams. Expectations / : 3 to 6 years of proven experience in MIS/Data Analyst roles. Strong hands-on expertise in MySQL (mandatory). Proficiency in Advanced Excel including VLOOKUP/XLOOKUP, pivot tables, charts, IF statements, and basic macros. Sound analytical and problem-solving skills with attention to detail. Strong communication and coordination skills. Ability to work independently and under tight deadlines. Prior experience in Fastag, fintech, banking, or logistics domain is preferred. Why Join Us 1. A collaborative output driven program that brings cohesiveness across businesses through technology 2. Improve the average revenue per use by increasing the cross-sell opportunities 3. A solid 360 feedback from your peer teams on your support of their goals 4. Respect, that is earned, not demanded from your peers and manager Compensation If you are the right fit, we believe in creating wealth for you With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants - and we are committed to it. India s largest digital lending story is brewing here. It s your opportunity to be a part of the story!

Role & responsibilities Assist clients with visa applications and documentation requirements. Monitor visa application processes and timelines. Ensure compliance with immigration laws and regulations. Communicate with embassies and consulates to facilitate visa approvals. Stay updated on changes in immigration policies and procedures. Maintain accurate records of all visa applications and client interactions. Provide post-visa issuance support and advice. Qualifications & Skills Bachelor's degree in Business, International Relations, or a related field. Strong communication and interpersonal skills. Excellent organizational and time management abilities. Attention to detail and accuracy in documentation. Familiarity with immigration laws and regulations. Ability to work independently and handle multiple cases simultaneously.

We Are looking For Computer Operator, Who can Perform defined tasks per documented instructions/process Male And Female Both Can apply Fresher And Experience Both Can Apply Basic computer knowledge must Hardworking Work from Home

The Computer Operator in the IT industry will be responsible for handling and organizing data, maintaining databases, managing records, and supporting the IT and administrative functions.

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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 contribute to the overall data strategy, ensuring that the data architecture aligns with business objectives and supports analytical needs. 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 optimize data pipelines to enhance data processing efficiency.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 contribute to the overall data strategy, ensuring that the data architecture aligns with business objectives and supports analytical needs. 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 optimize data pipelines to enhance data processing efficiency.- Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Chennai 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data is accessible and reliable for decision-making purposes. 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 stakeholders to gather and analyze data requirements.- Design and implement scalable data pipelines to support data processing needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy of the organization, ensuring that data is accessible and reliable for decision-making purposes. 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 stakeholders to gather and analyze data requirements.- Design and implement scalable data pipelines to support data processing needs. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and data integration techniques.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Pune 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 scientists and analysts to understand data needs and provide appropriate solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and processes for data migration and transformation.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Mumbai 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 : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 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 scientists and analysts to understand data needs and provide appropriate solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform.- Strong understanding of data modeling and database design principles.- Experience with ETL tools and processes for data migration and transformation.- Familiarity with cloud platforms and services related to data storage and processing.- Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information:- The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

We are seeking a Senior Data Analyst to collaborate closely with vendors, internal teams, and clients to provide high-quality data solutions, address inquiries, and resolve issues efficiently. The role requires a strong understanding of financial instruments, market risk, and portfolio management, along with scripting experience in SQL and Python for data processing and automation. This project focuses on managing vendor data configuration for new and existing clients while supporting the rollout of new financial indices across multiple asset classes. It involves acquiring, mapping, normalizing, and automating financial data processes to ensure seamless integration with internal systems. By leveraging analytical skills and effective communication, this project aims to enhance risk analytics capabilities and ensure data accuracy for investment decision-making. This role requires on-site presence in the office 2-3 days per week. As part of your application, we kindly ask you to complete a 10-minute assessment Responsibilities: Own day-to-day vendor data configuration requirements of new and existing clients. Contribute to all aspects of rolling out multiple concurrent new indices, across various assets and strategies. This includes vendor data acquisition, data mapping and normalization, process testing and automation, and quality control. Provide high-quality client services externally and internally. Address inquiries and resolve problems from external clients and internal partners. Understand risk analytics of fixed income, equity, and alternative products. Analyze index methodologies, collaborate with vendors, and build custom solutions for the business.

We are seeking a Data Analyst to collaborate closely with vendors, internal teams, and clients to provide high-quality data solutions, address inquiries, and resolve issues efficiently. The role requires a strong understanding of financial instruments, market risk, and portfolio management, along with scripting experience in SQL and Python for data processing and automation. This project focuses on managing vendor data configuration for new and existing clients while supporting the rollout of new financial indices across multiple asset classes. It involves acquiring, mapping, normalizing, and automating financial data processes to ensure seamless integration with internal systems. By leveraging analytical skills and effective communication, this project aims to enhance risk analytics capabilities and ensure data accuracy for investment decision-making. Responsibilities: Own day-to-day vendor data configuration requirements of new and existing clients. Contribute to all aspects of rolling out multiple concurrent new indices, across various assets and strategies. This includes vendor data acquisition, data mapping and normalization, process testing and automation, and quality control. Provide high-quality client services externally and internally. Address inquiries and resolve problems from external clients and internal partners. Understand risk analytics of fixed income, equity, and alternative products. Analyze index methodologies, collaborate with vendors, and build custom solutions for the business.

We are seeking a Data Analyst to collaborate closely with vendors, internal teams, and clients to provide high-quality data solutions, address inquiries, and resolve issues efficiently. The role requires a strong understanding of financial instruments, market risk, and portfolio management, along with scripting experience in SQL and Python for data processing and automation. This project focuses on managing vendor data configuration for new and existing clients while supporting the rollout of new financial indices across multiple asset classes. It involves acquiring, mapping, normalizing, and automating financial data processes to ensure seamless integration with internal systems. By leveraging analytical skills and effective communication, this project aims to enhance risk analytics capabilities and ensure data accuracy for investment decision-making. Responsibilities: Own day-to-day vendor data configuration requirements of new and existing clients. Contribute to all aspects of rolling out multiple concurrent new indices, across various assets and strategies. This includes vendor data acquisition, data mapping and normalization, process testing and automation, and quality control. Provide high-quality client services externally and internally. Address inquiries and resolve problems from external clients and internal partners. Understand risk analytics of fixed income, equity, and alternative products. Analyze index methodologies, collaborate with vendors, and build custom solutions for the business.

Job Description: Essential Job Functions: Participate in data engineering tasks, including data processing and transformation. Assist in the development and maintenance of data pipelines and infrastructure. Collaborate with team members to support data collection and integration. Contribute to data quality and security efforts. Analyze data using data engineering tools and techniques. Collaborate with data engineers and analysts on data-related projects. Pursue opportunities to enhance data engineering skills and knowledge. Stay updated on data engineering trends and best practices. Basic Qualifications: Bachelors degree in a relevant field or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role Proven experience in data engineering Proficiencies in data engineering tools and technologies A continuous learner that stays abreast with industry knowledge and technology Other Qualifications (a plus): Advanced degree in a relevant field a plus Relevant certifications, such as Certified Data Analyst or SAS Certified Big Data Professional a plus Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here .