3764 Data Quality Jobs - Page 29

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. Experience with distributed data processing frameworks and modern GCP analytical and transactional data stores (e.g., BigQuery, Cloud SQL, AlloyDB), and experience working with at least one database type to write SQL queries. Experience in GCP. Preferred qualifications: Experience working with data warehouses, including technical architectures, infrastructure components, ETL/ELT processes, reporting and analytics tools, environments, and data structures. Experience with encryption techniques like symmetric, and asymmetric encryption, HSMs, and envelop encryption, along with the ability to implement secure key storage using Key Management System (KMS). Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience architecting, developing software, or internet-scale, production-grade Big Data solutions in virtualized environments. Experience in Big Data, information retrieval, data mining, or machine learning. Experience with IaC and CI/CD tools like Terraform, Ansible, Jenkins etc. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product tests. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work with Product Management and Product Engineering teams to build and drive excellence in our products. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Design, migrate/build and operationalize data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

Who We Are Saveo is a managed marketplace bringing primary & secondary medicine market together, offering faster delivery, cheaper procurement & better technology to pharmacies. It runs with an aim that no prescription shall bounce in India. Pharmacy in itself is a living organism having requirements at different fronts : acquisition of new customers, retaining customers, managing inventory, managing suppliers, finances etc. The Indian pharmaceutical industry is highly fragmented with 6.5lakh retailers and 65000 distributors, unlike the US where there are just 5 major distributors covering 93% of the market share. We aim to streamline this supply chain by being a single distribution point and empower these 6.5lakh micro-entrepreneurs with technology and sustainability. What We're Looking For check Bachelors degree in Data Science, Analytics, Healthcare Management, or a related field or Fresher from Tier 1 college ( recent Passouts) check Proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI) Strong analytical and problem-solving skills Knowledge of healthcare workflows and basic understanding of medical terminologies Excellent communication and collaboration abilities Responsibilities Collect, clean, and analyze healthcare operations data (e.g., patient records, and workflow metrics) Generate reports and dashboards to track key performance indicators (KPIs) Identify trends and inefficiencies in operational processes Assist in forecasting and planning for resource allocation Ensure compliance with data privacy regulations (e.g., HIPAA) Collaborate with teams to implement data-driven solutions

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. Experience in developing and troubleshooting data processing algorithms and software using Python, Java, Scala, Spark and hadoop frameworks. Experience in Google Cloud Platform. Experience in data processing frameworks and Google Cloud Platform with investigative and transactional data stores like BigQuery, CloudSQL, AlloyDB, etc. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience in building applications with modern technologies like NoSQL, MongoDB, SparkML, and TensorFlow. Experience with architecting, developing software, or internet production-grade Big Data solutions in virtualized environments. Experience with Infrastructure as Code (IaC) and CI/CD tools like Terraform, Ansible, Jenkins, etc. Experience with encryption techniques like symmetric, asymmetric, Hardware Security Module (HSMs) and envelop with ability to implement secure key storage using Key Management System. Experience in working with data warehouses, including technical architectures, infrastructure components, ETL/ELT and reporting tools, environments, and data structures. About the job The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. In this role, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform (GCP). You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot platform/product tests. You will have an understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for solution architectures and advisory services. Engage with technical leads, and partners to lead migration and modernization to Google Cloud Platform (GCP). Design, migrate/build, and operationalize data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take project requirements and organize them into goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 3 years of experience troubleshooting technical issues for internal/external partners or customers. 3 years of experience in either system design or reading code (e.g., Java, C++, Python, etc.). Preferred qualifications: 5 years of experience with data analysis and SQL/MySQL. 5 years of experience in a data quality, data governance, or product management role. 3 years of experience in Data Analytics, Product Management, or a related field with a focus on data quality. Experience with data visualization tools (e.g., Tableau, Looker) and building dashboards for executive-level stakeholders. Strong SQL skills and experience querying and analyzing large datasets. Familiarity with statistical concepts (e.g., Bayesian probability) as they relate to data confidence. About the job As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships. You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. At the heart of YouTube s business operations lies the Deal & Payment Systems team. We're the engine that ensures payment to partners accurately, on-time, and in-line with complex contractual obligations. Our Deal & Payments team is a key part of the Business Technology (BizTech) team, a group within the larger Go-To-Market Solutions (GTMS) organization. Google creates products and services that make the world a better place, and gTech s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products. To learn more about gTech, check out our video . Responsibilities Lead the design of products and capabilities that ensure the integrity of data across YouTube s business organization. Define the product vision and strategy for AI-driven products like our automated contract term extraction tool. This includes designing innovative audit workflows that leverage multi-agent AI validation, statistical anomaly detection, and human feedback loops to improve model accuracy and reduce manual effort. Write and execute complex SQL queries to perform deep-dive data analysis, identifying patterns and opportunities for quality improvement. Design, build, and maintain a suite of dashboards and reports that provide a real-time view of data accuracy and completeness for stakeholders. Partner with engineering teams to translate your data quality strategies into technical solutions, including rules-based engines and data model enhancements.

Minimum qualifications: Bachelor s degree or equivalent practical experience. 5 years of experience in a technical project management or a customer-facing role. Experience with working in a operations role. Experience working in a human evaluation or data labeling environment. Preferred qualifications: Experience in partnering with engineers, product managers, product specialists or operations managers to drive product and process development. Experience in problem solving and tools (e.g., SQL) with the ability to work through datasets to draw insights and make recommendations. Ability to adapt, prioritize and manage time effectively in a fast-paced environment. Ability to build consensus and collaborate with cross-functional teams and internal stakeholders. Excellent communication skills, enabling effective collaboration with international teams. About the job The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world. Responsibilities Own product data streams, partner with subject matter experts to implement evaluations to production and collect data from teams, measure rater accuracy and agreement and iterate on data collection projects to improve quality or volume. Track data quality and operational Key Performance Indicator (KPIs) and perform analysis to drive improvement and troubleshoot issues. Work with stakeholders to understand data collection priorities and manage capacity planning and scheduling within budget. Work with global vendor raters, vendor managers and vendor trainers to identify gaps or issues in data collection and design and implement solutions to address them. Stay up-to-date on the latest data labeling methods, including human rater labeling and machine learning and make recommendations to cross-functional teammates on solutions for applications.

Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience. 10 years of experience in Big Data, Data Warehouse, Data Modelling, Data Mining and Hadoop. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB, SparkML, and TensorFlow. Experience in GCP. Preferred qualifications: Experience in Big Data, information retrieval, data mining, or Machine Learning. Experience with IaC and CICD tools like Terraform, Ansible, Jenkins etc. Experience architecting, developing software, or Big Data solutions in virtualized environments. Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop. Ability to implement secure key storage using Key Management System. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Data and Analytics Consultant, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an understanding of data governance and security controls, and will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. You will work with Product Management and Product Engineering teams to build and drive excellence in products.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Help Google cloud customers with current infrastructure assessment, design and architect goal infrastructure, develop a migration plan, and deliver technical workshops to educate them on GCP. Participate in technical and design discussions with technical teams to speed up the adoption process and ensure best practices during implementation. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.

Minimum qualifications: Bachelor s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Experience in distributed data processing frameworks and modern age investigative and transactional data stores. Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures. Experience in big data, information retrieval, data mining. Experience in building multi-tier, high availability applications with modern technologies such as NoSQL, MongoDB. Experience with Infrastructure as Code (IaC) and Continuous Integration/Continuous Delivery (CICD) tools like Terraform, Ansible, Jenkins etc. Understanding of at least one database type with the ability to write complex SQLs. About the job The Google Cloud Platform team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, small and large businesses, educational institutions and government agencies see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As a Strategic Cloud Data Engineer, you will guide customers on how to ingest, store, process, analyze, and explore/visualize data on the Google Cloud Platform. You will work on data migrations and modernization projects, and with customers to design large-scale data processing systems, develop data pipelines optimized for scaling, and troubleshoot potential platform/product challenges. You will have an in-depth understanding of data governance and security controls. You will travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering teams to build and constantly drive excellence in our products.Google Cloud accelerates every organization s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Responsibilities Interact with stakeholders to translate complex customer requirements into recommendations for appropriate solution architectures and advisory services. Engage with technical leads, and partners to lead high velocity migration and modernization to Google Cloud Platform (GCP). Design, Migrate/Build and Operationalize data storage and processing infrastructure using Cloud native products. Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data. Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

Position Title Software Engineer I Product Information Capability Function/Group Digital & Technology Location Mumbai Shift Timing Regular Role Reports to D&T Manager Software Engineering Remote/Hybrid/in-Office Hybrid ABOUT GENERAL MILLS We make food the world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and H agen-Dazs, we ve been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell. How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. For more details check out http://www.generalmills.com General Mills India Center (GIC) is our global capability center in Mumbai that works as an extension of our global organization delivering business value, service excellence and growth, while standing for good for our planet and people. With our team of 1800+ professionals, we deliver superior value across the areas of Supply chain (SC) , Digital & Technology (D&T) Innovation, Technology & Quality (ITQ), Consumer and Market Intelligence (CMI), Sales Strategy & Intelligence (SSI) , Global Shared Services (GSS) , Finance Shared Services (FSS) and Human Resources Shared Services (HRSS).For more details check out https://www.generalmills.co.in We advocate for advancing equity and inclusion to create more equitable workplaces and a better tomorrow. JOB OVERVIEW Function Overview The Digital and Technology team at General Mills stands as the largest and foremost unit, dedicated to exploring the latest trends and innovations in technology while leading the adoption of cutting-edge technologies across the organization. Collaborating closely with global business teams, the focus is on understanding business models and identifying opportunities to leverage technology for increased efficiency and disruption. The teams expertise spans a wide range of areas, including AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain, SAP S4 HANA and Enterprise Architecture. The MillsWorks initiative embodies an agile@scale delivery model, where business and technology teams operate cohesively in pods with a unified mission to deliver value for the company. Employees working on significant technology projects are recognized as Digital Transformation change agents. The team places a strong emphasis on service partnerships and employee engagement with a commitment to advancing equity and supporting communities. In fostering an inclusive culture, the team values individuals passionate about learning and growing with technology, exemplified by the "Work with Heart" philosophy, emphasizing results over facetime. Those intrigued by the prospect of contributing to the digital transformation journey of a Fortune 500 company are encouraged to explore more details about the function through the following Link Purpose of the role This is an exciting time to work in General Mills Supply Chain & ITQ Organization! We are accelerating Digital Transformation of our Product Information Capabilities (PIC) capabilities to provide a competitive advantage to our business. To this end, we are seeking a skilled and motivated STIBO Developer to join our Product Information Capabilities team. As a STIBO Developer, you will play a crucial role in designing, developing, and implementing solutions within our STIBO STEP platform to support our product information management (PIM) and master data management (MDM) processes. You will collaborate with cross-functional teams to understand business requirements, translate them into technical specifications, and deliver high-quality solutions that meet our business needs. KEY ACCOUNTABILITIES Design, develop, and maintain STIBO STEP solutions to support product information management processes. Write and maintain code for business rules to ensure data quality and consistency. Configure outbound and inbound integrations to exchange data with other systems. Configure gateway endpoints for seamless data flow. Develop and maintain data models within STIBO STEP to accurately represent product information. Build web UI screens for data entry, validation, and reporting. Develop solutions based on documented requirements and specifications. Participate in agile project development, including sprint planning, daily stand-ups, and retrospectives. Collaborate with business analysts, data architects, and other developers to ensure solutions align with business needs and technical standards. Troubleshoot and resolve issues related to STIBO STEP implementations. Stay up-to-date with the latest STIBO STEP features and best practices. Create and maintain technical documentation for STIBO STEP solutions. MINIMUM QUALIFICATIONS Education Full time graduation from an accredited university (Mandatory- Note: This is the minimum education criteria which cannot be altered) Experience with tools and concepts related to MDM and/or Digital Product Publishing, such as data governance, data quality, data integration and data exporting Exposure to Product Information Management Systems (PIM/MDM) Technical expertise into Stibo platform Experience with Data Syndication partners such as 1WorldSync, Syndigo and Salsify. Exposure to GDSN Standards Strong team player and collaborator with core focus on solution making; Effective analytical and technical skills; Ability to work in a cross functional team environment PREFERRED QUALIFICATIONS Product Information Management / Master Data Management STIBO STEP certification Business Analysis skills SQL, Cloud GCP Agile / SCRUM Delivery Familiarity with Service Bus Integration Preferably experience in Consumer Goods industry

Job Summary Each Data Scientist on this team has full ownership of a portfolio of a product and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include data analysis, monitoring and forecasting, creating the logic for and implementing risk rules and strategies, providing requirements to data scientists and technology teams on attribute, model and platform requirements, and communicating with global stakeholders. Job Description Essential Responsibilities Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Minimum Qualifications Minimum of 5 years of relevant work experience and a Bachelors degree or equivalent experience. Preferred Qualification 5-7 years of relevant experience working with large-scale complex dataset. Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business question Excellent communication skills, equally adept at working with engineers as well as business leaders Want to build new solutions and invent new approaches to big, ambiguous, critical problems Strong working knowledge of Excel, SQL and Python/R Technical Proficiency Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts. Subsidiary PayPal Travel Percent 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https//www.paypalbenefits.com . Who We Are Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

We are seeking a highly experienced and hands-on Lead/ Senior Data Engineer to architect, develop, and optimize data solutions in a cloud-native environment. The ideal candidate will have 712 years of strong technical expertise in AWS Glue, PySpark, and Python , along with experience designing robust data pipelines and frameworks for large-scale enterprise systems. Prior exposure to the financial domain or regulated environments is a strong advantage. Key Responsibilities: Solution Architecture : Design scalable and secure data pipelines using AWS Glue, PySpark, and related AWS services (EMR, S3, Lambda, etc.) Leadership & Mentorship : Guide junior engineers, conduct code reviews, and enforce best practices in development and deployment. ETL Development : Lead the design and implementation of end-to-end ETL processes for structured and semi-structured data. Framework Building : Develop and evolve data frameworks, reusable components, and automation tools to improve engineering productivity. Performance Optimization : Optimize large-scale data workflows for performance, cost, and reliability. Data Governance : Implement data quality, lineage, and governance strategies in compliance with enterprise standards. Collaboration : Work closely with product, analytics, compliance, and DevOps teams to deliver high-quality solutions aligned with business goals. CI/CD Automation : Set up and manage continuous integration and deployment pipelines using AWS CodePipeline, Jenkins, or GitLab. Documentation & Presentations : Prepare technical documentation and present architectural solutions to stakeholders across levels. Requirements Required Qualifications: 7-12 years of experience in data engineering or related fields. Strong expertise in Python programming with a focus on data processing. Extensive experience with AWS Glue (both Glue Jobs and Glue Studio/Notebooks). Deep hands-on experience with PySpark for distributed data processing. Solid AWS knowledge : EMR, S3, Lambda, IAM, Athena, CloudWatch, Redshift, etc. Proven experience in architecture and managing complex ETL workflows . Proficiency with Apache Airflow or similar orchestration tools. Hands-on experience with CI/CD pipelines and DevOps best practices. Familiarity with data quality , data lineage , and metadata management . Strong experience working in agile/scrum teams. Excellent communication and stakeholder engagement skills. Preferred/Good to Have: Experience in financial services, capital markets, or compliance systems . Knowledge of data modeling , data lakes , and data warehouse architecture . Familiarity with SQL (Athena/Presto/Redshift Spectrum). Exposure to ML pipeline integration or event-driven architecture is a plus. Benefits Flexible work culture and remote options Opportunity to lead cutting-edge cloud data engineering projects Skill-building in large-scale, regulated environments. ","

Join us as a Data Engineer We re looking for someone to build effortless, digital first customer experiences to help simplify our organisation and keep our data safe and secure Day-to-day, you ll develop innovative, data-driven solutions through data pipelines, modelling and ETL design while inspiring to be commercially successful through insights If you re ready for a new challenge, and want to bring a competitive edge to your career profile by delivering streaming data ingestions, this could be the role for you Were offering this role at associate vice president level What you ll do Your daily responsibilities will include you developing a comprehensive knowledge of our data structures and metrics, advocating for change when needed for product development. You ll also provide transformation solutions and carry out complex data extractions. We ll expect you to develop a clear understanding of data platform cost levels to build cost-effective and strategic solutions. You ll also source new data by using the most appropriate tooling before integrating it into the overall solution to deliver it to our customers. You ll also be responsible for: Driving customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tools to build data solutions Participating in the data engineering community to deliver opportunities to support our strategic direction Carrying out complex data engineering tasks to build a scalable data architecture and the transformation of data to make it usable to analysts and data scientists Building advanced automation of data engineering pipelines through the removal of manual stages Leading on the planning and design of complex products and providing guidance to colleagues and the wider team when required The skills you ll need To be successful in this role, you ll have an understanding of data usage and dependencies with wider teams and the end customer. You ll also have experience of extracting value and features from large scale data. We ll expect you to have at least seven years of experience in ETL technical design, data quality testing, cleansing and monitoring, data sourcing, exploration and analysis, and data warehousing and data modelling capabilities. You ll also need: Experience of designing enterprise applications using code in AWS or Azure cloud platforms Experience in Database technologies covering Postgres and SQL Server Knowledge of Data Modelling and Data transformation Good knowledge of modern code development practices using Java, React, .net and .net Core Great communication skills with the ability to proactively engage with a range of stakeholders Hours 45 Job Posting Closing Date: 15/07/2025

Job Title: SSIS Developer Location: Hyderabad, Bangalore, Chennai, Pune Experience: 7- 12 Years Key Responsibilities: Design, develop, and deploy robust ETL processes using SSIS. Develop OLAP cubes and tabular models using SSAS for business intelligence reporting. Build and optimize data models to support analytical and reporting needs. Design and implement data warehouse architectures and schemas (Star, Snowflake). Perform data integration, cleansing, and transformation from multiple sources. Ensure data quality and consistency across all platforms. Work closely with business analysts and stakeholders to understand data requirements. Monitor and improve ETL performance and resolve any issues in data pipelines. Document technical processes and data flows. Required Skills & Qualifications: 3+ years of hands-on experience with SSIS and SSAS. Strong understanding of data modeling concepts (conceptual, logical, and physical models). Proven experience in designing and implementing data warehouses. Proficient in T-SQL and SQL Server. Experience with performance tuning of ETL processes. Familiarity with BI tools like Power BI, Tableau (preferred but not mandatory). Strong problem-solving and analytical skills. Excellent communication and teamwork abilities. Preferred Qualifications: Experience with Azure Data Factory, Synapse Analytics, or other cloud-based data services. Knowledge of data governance and data quality best practices. Bachelors degree in Computer Science, Information Systems, or a related field.

C reate a better future! Do you want to make a difference in the world and contribute to a sustainable future? We believe we can develop technology and gain the knowledge to make that difference. We have launched our ambition, Mission Zero - enabling our customers to move towards zero emissions in mining We need your leadership skills, curiosity, and drive for change to fulfil our goal. Together, we enable our customers to produce the materials needed for a better future. Your responsibilities Business Analyst - BI & Insights will work with data engineering & Business teams to convert the data into meaningful & actionable insights. The role involves activities like data enhancement, requirements gathering, data visualization, training & communication of the dashboards. The incumbent will be responsible for Sales / Order Executioin / procurement Procurement data analytics of Service Business Line. Design and develop advanced, interactive, and insightful data visualizations to support business decision-making using tools Power BI & Snowflake. Collaborate with stakeholders to gather and understand their requirements, translating raw data into effective visual representations of data. Apply best practices for data enhancement, data quality, and performance optimization in all projects. Participate in data modeling, ETL processes, and data integration projects with IT/Data engineering team. Integrating data from various sources into Power BI. Creating customized KPIs and metrics for procurement and monitor them consistently through dashboards and visually interactive reports created. Continuously improving and optimizing data models and visualizations for exist dashboards and data models. Stay updated with emerging technologies and industry trends to bring fresh perspectives and ideas to the team. Experience in Sales / Order Execution / Procurement process in an additional advantage What we look for Bachelor of Engineering with 5 ~ 8 years of experience Advanced Excel, PowerPoint, PowerBI, Snowflake, SQL working knowledge Good communication skills Should have worked in procurement domain for at least 2 years What we offer Competitive benefit package including Health Insurance, Personal Accident / Disability, Group Term Life Insurance, Annual health check-up, and voluntary insurance options. Time to recharge through 30 days PTO (with up to 10 days carry forward as Earned Leave stock) Work-life balance with a flexible work schedule so you can focus on professional and personal priorities. Financial support for continuing education Employee Assistance Program A global network of supportive colleagues and growth opportunities We encourage applicants of all backgrounds and perspectives to apply - the more diverse our employees are, the stronger our team is. FLSmidth is a full flowsheet technology and service supplier to the global mining and minerals industries. We help our customers to improve performance, lower operating costs and reduce environmental impact. - for more information please visit .

About 1Lattice 1Lattice is a 360-degree business decision support partner, offering a tech-enabled stack of data, expert networks, and custom research solutions. We work with clients globally to solve critical business challenges using agile, insight-led methods from Inputs and Validation to Execution and Measurement. About the Role We are looking for a highly organized and proactive Panel Operations Associate - CAPI to support end-to-end execution of Primary Research projects through freelancer and field team coordination . This is an execution-heavy role involving day-to-day management of survey fieldwork, onboarding of freelancers, and project monitoring under the guidance of the Team Leader - Panel Operations. Key Responsibilities Project Execution Assist in setting up and managing CAPI (Computer-Assisted Personal Interviewing) projects. Ensure field teams are briefed, deployed, and aligned to project objectives and timelines. Monitor daily progress of surveys and provide real-time updates to the reporting manager. Handle basic troubleshooting for field-related queries and escalate issues when needed. Freelancer Coordination Source and onboard new freelancers and field surveyors using internal tools and external channels. Share daily assignments and ensure adherence to timelines and data quality standards. Maintain freelancer databases, track attendance, and flag performance issues. Coordinate with vendors if additional field capacity is needed. Operational Support Work closely with internal teams (sample, data, consulting) to ensure accurate and timely delivery. Maintain tracking sheets, dashboards, and reporting logs. Support in maintaining budget trackers, cost logs, and timesheets for freelancers. Assist in documentation, rate negotiation support, and field audit coordination. Requirements Graduate in any discipline (Freshers or up to 2 years of relevant experience). Strong communication and coordination skills (Hindi and English essential). Comfortable working with freelancers and remote field teams. Basic understanding of research operations or project coordination is a plus. Proficient in MS Excel/Google Sheets; familiar with digital tracking tools. Ability to handle pressure and deliver under tight timelines. Willingness to work extended hours or weekends when project requires. Prior experience in market research, survey fieldwork, or operations is preferred but not mandatory. Why Join Us? Get hands-on exposure to large-scale research operations. Work in a fast-paced and collaborative environment. Clear growth path toward project management and leadership roles. Be part of an agile and purpose-driven team at the intersection of data and decision-making. Opportunity to manage projects across diverse sectors including FMCG, BFSI, Healthcare, and more Work with a purpose-driven organization committed to ethical and impactful research

Every career journey is personal. Thats why we empower you with the tools and support to create your own success story. Be challenged. Be heard. Be valued. Be you ... be here. Job Summary The Data Management Senior Manager will oversee the organizations data management initiative across one or more aspects of the data lifecycle, to ensure alignment with policies, standards, and data risks controls. This role will require expertise in data classification, metadata management, data quality, data retention and data sharing to strengthen policy-based frameworks and improve enterprise data usability. This role will contribute to the development and implementation of best practices for mastering data domains, regulatory compliance, and data stewardship, collaborating with business and technology teams to drive operational excellence. This role is ideal for a data professional who is passionate about enabling trusted, well-managed data ecosystems and ensuring the data is properly governed, classified and securely managed. Essential Job Functions Partner with data communities and collaborate cross-functionally with Data Governance, IT another functions both onshore and offshore to ensure integration of data quality/management processes. Collaborate with cross functional teams to address data-related issues and provide innovative solutions. Network with senior internal and external personnel in own area of expertise. - (20%) Influence and guide across one or more data disciplines through clear communications, decision-making, conflict resolution and inspiring others to achieve their best. Provide guidance, priorities, and personal development of the team. - (20%) Escalation points to assist in resolving problems of diverse scope where analysis of data requires evaluation of identifiable factors. Identify, design, develop and implement data centric solutions driven in alignment to the goals of the Data and Analytics department. Demonstrate good judgment in selecting methods and techniques for obtaining solutions. - (20%) Create and maintain documentation, define and/or implement procedures, ensure compliance with policies and standards and report on established metrics and KPIs. - (20%) Manage the implementation of data lifecycle management strategies, roadmaps and policies ensure data integrity, security, and accessibility throughout the data lifecycle. Establish evidence from industry research of best practices to expand the policies, standards and procedures. - (20%) Minimum Qualifications Bachelor s Degree computer science, engineering, information technology or a related STEM field of study. Certified Data Management Professional (CDMP from DAMA). 10+ years of experience working in data engineering, application development, or data architecture. 5+ years of experience leading a team of people. Preferred Qualifications Master s Degree business, information technology, computer science or related STEM field of study. Experience implementing data management capabilities in a financial services firm. Skills Microsoft Office Cloud Technology Records Management Reports To : Senior Manager and above Direct Reports : 6 - 10 Work Environment Normal office environment, hybrid. Other Duties This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time. About Bread Financial At Bread Financial, you ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We ve been consistently recognized as a best place to work nationally and in many markets and we re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression. Bread Financial (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending, and saving solutions to millions of U.S consumers. Our payment solutions, including Bread Financial general purpose credit cards and savings products, empower our customers and their passions for a better life. Additionally, we deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, jewelry and specialty apparel through our private label and co-brand credit cards and pay-over-time products providing choice and value to our shared customers. To learn more about Bread Financial, our global associates and our sustainability commitments, visit breadfinancial.com or follow us on Instagram and LinkedIn . All job offers are contingent upon successful completion of credit and background checks. Bread Financial is an Equal Opportunity Employer. Job Family: Data and Analytics Job Type: Regular

Position Overview: We are looking for an Analytics Engineer to join our team here at ShyftLabs! We are searching for someone who loves data and analytics and is able to both understand and develop overall business strategies. A blend of great technical skills and interpersonal skills is highly desirable in this role, which will be working alongside enterprise clients. Job Responsibilities: Design quality technical solutions to meet client business objectives. Developing and testing data models to capture clients KPIs and data transformations. Working with our stakeholders to develop end-to-end Cloud-based solutions with a heavy focus on applications and data. Contribution to the vision, understanding our product roadmap, integrating business value with experience, and contributing towards building an engineering culture within the team. Delivering highly reliable software and data pipelines using automation, version control, continuous integration, testing, and security that will aggregate the reporting metrics needed in a Retail Data Platform. Ensure consistency in delivering quality solutions Resolve and identify technical issues continuously Teach and learn new technologies and tools within the industry Basic Qualifications: Has 3+ years of experience in Data Analytics and a minimum of 1+ years of retail experience. Bachelor s or Master s Degree in Science, Technology, Engineering, or Mathematics related discipline Has worked on Cloud Data warehouses such as Snowflake Or BigQuery. Must have at least 3 years of experience with SQL, Python, R, and Looker reporting and dashboarding. Experience in distributed source control such as GIT in an Agile-Scrum environment (Airflow experience is a plus). Experience with Machine Learning is considered an asset. Client-facing experience is highly desired. Working with Executive level shareholders is considered an asset. Ability to make a difference and lasting impact. Can identify ways to improve data quality and reliability. Is aligned with the latest data trends or inconsistencies to simplify the data insights. Has excellent verbal and written communication skills. A commitment to teamwork with excellent interpersonal skills is essential.

Job Summary: We are seeking a highly skilled and experienced AWS Engineer to join our technology team in Bangalore. The ideal candidate will have a solid background in AWS services, data engineering, and ML model operationalization. You will be responsible for designing, building, and managing scalable, secure, and cost-optimized cloud-based data pipelines and infrastructure solutions. Roles and Responsibilities: Design, develop, and maintain scalable data pipelines using AWS services such as Glue, Lambda, S3, Redshift, and EMR Collaborate with Data Scientists and ML Engineers to operationalize machine learning models using Amazon SageMaker Implement data transformation and feature engineering workflows Optimize ETL/ELT processes while ensuring data quality, consistency, and governance Manage both structured and unstructured data using Athena, DynamoDB, and RDS Build and manage CI/CD pipelines for data and ML workflows using AWS CodePipeline, CodeBuild, and Step Functions Monitor and troubleshoot AWS data infrastructure for performance, reliability, and cost-efficiency Ensure data security and regulatory compliance across all AWS operations Required Skills & Experience: 4+ years of hands-on experience with AWS Cloud Services Proficiency with core AWS data services: Glue, Lambda, S3, Redshift, EMR Experience operationalizing ML models using SageMaker Strong understanding of ETL/ELT workflows and performance tuning Familiarity with Athena , DynamoDB , and RDS Experience with CI/CD pipelines using CodePipeline, CodeBuild, Step Functions Knowledge of data governance, security , and compliance standards Excellent problem-solving, communication, and team collaboration skills

Who are Inchcape? At Inchcape Shipping Services, our vision is to create a connected world where customers can trade successfully and make informed decisions in every port, everywhere. We achieve this by combining our worldwide infrastructure with local expertise, through our global network of more than 250 proprietary offices and a team of over 3,000 dedicated professionals. Our diverse customer base includes owners and charterers in the oil, cruise, container, and bulk commodity sectors, as well as naval, government, and intergovernmental organisations. We have an ambitious growth model and a career here is certainly going to be a rewarding one that will allow you to bring your skills & experience. We embrace change and are open to new thinking and pushing for positive change in our industry. About the Role We are looking for a Senior Analytics Engineer to join our Business Intelligence and Analytics team at Inchcape. In this role, you will bridge the gap between business needs and analytics capabilities, developing scalable, impactful analytics solutions that empower teams to make data-informed decisions. This is not a narrow developer role. As a Senior Analytics Engineer, you ll work across the full analytics lifecycle from understanding business problems and data flows to developing robust data models and building analytical dashboards. You will also contribute to analytics product delivery , work closely with product and technical teams, and champion best practices in analytics engineering. We are building a modern data stack , and you ll play a key role in shaping how data is used across the organization. Your Impact Translate business questions into reliable, scalable, and repeatable BI & analytics solutions Lead the design, development, and maintenance of dashboards and data pipelines Ensure analytics solutions follow best practices in performance, usability, governance, and data quality Work closely with product managers, developers, engineers, and business stakeholders Help evolve our data stack and shape our culture of data-driven product development What You ll Do Own the end-to-end development of analytics solutions: from requirements gathering to deployment Design, build, and optimize dashboards and visualizations using Tableau, Power BI, or similar tools Develop and manage ETL/ELT workflows using tools like Alteryx , and contribute to scalable data pipelines Write and optimize advanced SQL queries for data transformation and analytics Lead the data modeling and design of reporting datasets within the data warehouse (star/snowflake schemas, fact/dim tables, surrogate keys) Collaborate with stakeholders to define KPIs, align on business logic, and ensure semantic consistency Support the coordination of deliveries , help remove blockers, and improve sprint execution across teams Promote best practices in data quality, performance, and documentation across analytics assets Your Background 7+ years of experience in BI, Data Analytics, or Analytics Engineering roles Strong proficiency in SQL , including advanced functions, optimization, and data transformation logic Demonstrated experience in data modeling for data warehouses and applying warehousing techniques (e.g., SCD, schema design, indexing, surrogate keys) Hands-on expertise with Tableau (preferred), Power BI , or other visualization tools Practical experience with ETL/ELT tools like Alteryx , Talend, or similar (Alteryx preferred) Experience working with cloud data platforms such as AWS Redshift or Snowflake Familiarity with Python or R for automation or analytics scripting is a plus Exposure to Agile/Scrum environments with experience in sprint-based delivery Excellent communication skills and comfort collaborating across functions A mindset focused on continuous improvement, stakeholder partnership, and solution impact Why You Might Be a Fit You re a problem-solver who enjoys transforming data into business value. You thrive in cross-functional environments , own your deliverables from end to end, and take pride in delivering scalable and impactful analytics solutions. You don t just build reports you design products that empower teams and guide decision-making. What We Offer A global, data-driven organization with growing investment in analytics The chance to shape high-impact solutions across Finance, Operations, and Commercial teams Exposure to a modern BI and cloud data stack A collaborative, agile culture where your voice and ownership matter Opportunities for career growth, learning, and cross-team collaboration

Junior Global Process Solution Key User- P2P Location: Bangalore, IN, 562122 Position Type: Professional Job Description The Junior Process & Solution Key User - Vendor Master Data supports process/solution development, improvements and implementation of standard processes/solution on a local site and organizational unit including any adaptations or variants. The Process & Solution Key User will support the end users and support the full utilization of process and solutions. Ensure accurate and consistent Vendor Master Data practices, supporting data governance initiatives and data quality Key responsibilities and competencies: Bring business knowledge and needs/ requirements from all users to the Business Process Developer/Solution Leader in process/solution development and improvement activities Develop and maintain Vendor master data management processes and standards, ensure the accuracy, completeness and consistency of master data across various systems and platforms Conduct data quality assignments and implement corrective actions as needed Analyse business issues and business requests from a process and solution perspective before initiating a formal change request Collect, analyse, propose and help prioritize change requests from the users represented towards the Business Process Developer or the Solution Leader Participate in acceptance tests (process and solution) Approve/Reject user acceptance test (i.e. new solution releases) Identify root cause to define process and solution improvement area and propose solution or escalate Review and accept process/solution development and improvement proposals Be the single point of contact for end users (i.e. how to questions regarding the process/solution(s) incl. access requests) Address IT end user questions and act as single point of escalation to the ITS support Accept escalation of process / IT solution maintenance and support issues and development and improvement proposals on behalf of the end users Register a change request (CR) with IT team Communicate and anchor process/solution improvement proposals Support implementation of standard process/es and solution(s) Support the definition of process measurement/s Identify training needs, plan and secure training in cooperation with Business Process Developer and / or Solution Leader Ensure Internal Control compliance and External Audit requirements Perform process training and give support to end users Perform SAP trainings for end users Represent the users in user groups/reference groups or similar forums Pre-requisites : Minimum 4 years of professional experience gained in accounting area (Vendor Master Data Experience strongly preferred) Possess strong organizational and time management skills Effective communication skill both written and verbal Should be open for any shifts Must be well organized and a self-starter Must be able to follow standard filing procedures Detail oriented, professional attitude, reliable System knowledge: 1. Various SAP ECC or S/4 2. Microsoft Office proficiency We value your data privacy and therefore do not accept applications via mail. Who we are and what we believe in We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Finance contributes to realizing the vision of the Volvo Group by developing and providing a wide range of expert services from financial planning to accounting, business controlling, M&As, financial reporting and investor relations. With Volvo Group Finance you will be part of a global and diverse team of highly skilled professionals who work with passion, trust each other and embrace change to stay ahead. We make our customers win. Job Category: Finance Organization: Group Finance Travel Required: No Travel Required Requisition ID: 22874 View All Jobs Do we share the same aspirations? Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed. Looking ahead, we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society. Joining Volvo Group, you will work with some of the world s most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity. Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect. If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations.

Junior Global Process Solution Key User Location: Bangalore, IN, 562122 Position Type: Professional Job Description The Junior Process & Solution Key User - Vendor Master Data supports process/solution development, improvements and implementation of standard processes/solution on a local site and organizational unit including any adaptations or variants. The Process & Solution Key User will support the end users and support the full utilization of process and solutions. Ensure accurate and consistent Vendor Master Data practices, supporting data governance initiatives and data quality Key responsibilities and competencies: Bring business knowledge and needs/ requirements from all users to the Business Process Developer/Solution Leader in process/solution development and improvement activities Develop and maintain Vendor master data management processes and standards, ensure the accuracy, completeness and consistency of master data across various systems and platforms Conduct data quality assignments and implement corrective actions as needed Analyse business issues and business requests from a process and solution perspective before initiating a formal change request Collect, analyse, propose and help prioritize change requests from the users represented towards the Business Process Developer or the Solution Leader Participate in acceptance tests (process and solution) Approve/Reject user acceptance test (i.e. new solution releases) Identify root cause to define process and solution improvement area and propose solution or escalate Review and accept process/solution development and improvement proposals Be the single point of contact for end users (i.e. how to questions regarding the process/solution(s) incl. access requests) Address IT end user questions and act as single point of escalation to the ITS support Accept escalation of process / IT solution maintenance and support issues and development and improvement proposals on behalf of the end users Register a change request (CR) with IT team Communicate and anchor process/solution improvement proposals Support implementation of standard process/es and solution(s) Support the definition of process measurement/s Identify training needs, plan and secure training in cooperation with Business Process Developer and / or Solution Leader Ensure Internal Control compliance and External Audit requirements Perform process training and give support to end users Perform SAP trainings for end users Represent the users in user groups/reference groups or similar forums Pre-requisites : Minimum 4 years of professional experience gained in accounting area (Vendor Master Data Experience strongly preferred) Possess strong organizational and time management skills Effective communication skill both written and verbal Should be open for any shifts Must be well organized and a self-starter Must be able to follow standard filing procedures Detail oriented, professional attitude, reliable System knowledge: 1. Various SAP ECC or S/4 2. Microsoft Office proficiency We value your data privacy and therefore do not accept applications via mail. Who we are and what we believe in We are committed to shaping the future landscape of efficient, safe, and sustainable transport solutions. Fulfilling our mission creates countless career opportunities for talents across the group s leading brands and entities. Applying to this job offers you the opportunity to join Volvo Group . Every day, you will be working with some of the sharpest and most creative brains in our field to be able to leave our society in better shape for the next generation. We are passionate about what we do, and we thrive on teamwork. We are almost 100,000 people united around the world by a culture of care, inclusiveness, and empowerment. Group Finance contributes to realizing the vision of the Volvo Group by developing and providing a wide range of expert services from financial planning to accounting, business controlling, M&As, financial reporting and investor relations. With Volvo Group Finance you will be part of a global and diverse team of highly skilled professionals who work with passion, trust each other and embrace change to stay ahead. We make our customers win. Job Category: Finance Organization: Group Finance Travel Required: No Travel Required Requisition ID: 22942 View All Jobs Do we share the same aspirations? Every day, Volvo Group products and services ensure that people have food on the table, children arrive safely at school and roads and buildings can be constructed. Looking ahead, we are committed to driving the transition to sustainable and safe transport, mobility and infrastructure solutions toward a net-zero society. Joining Volvo Group, you will work with some of the world s most iconic brands and be part of a global and leading industrial company that is harnessing automated driving, electromobility and connectivity. Our people are passionate about what they do, they aim for high performance and thrive on teamwork and learning. Everyday life at Volvo is defined by a climate of support, care and mutual respect. If you aspire to grow and make an impact, join us on our journey to create a better and more resilient society for the coming generations.

We are looking for an experienced Data Product Owner to lead the development of reusable, scalable data solutions for AI and Generative AI (GenAI) applications. In this role, you will work closely with data engineering, analytics, and AI teams to define, prioritize, and deliver high-impact data products that empower innovation and efficiency across AI initiatives. Key Responsibilities : Product Vision and Roadmap : Define and communicate a clear vision for reusable data assets that support AI and GenAI, aligning with business goals and AI strategy. Stakeholder Engagement : Collaborate with data scientists, engineers, and business leaders to gather requirements, prioritize features, and manage expectations. Solution Design : Drive the creation of modular, scalable data solutions to enable efficient model training, validation, and deployment for various AI and GenAI use cases. Data Quality and Governance : Ensure data products adhere to data quality, security, and compliance standards, enabling trustworthy and accurate AI outcomes. Performance Monitoring : Track product performance and usage, using feedback to enhance features and prioritize future iterations. Experience : 5+ years as a Product Owner/Manager in data or AI, with a focus on building scalable data solutions. Technical Knowledge : Strong understanding of data infrastructure, ETL/ELT processes, data governance, cloud data platforms, data science usecase and model lifecycle management. AI/GenAI Familiarity : Knowledge of AI/GenAI data requirements, workflows, and reusable data design. Data Quality & Governance : Experience ensuring data compliance, security, and quality standards. Soft Skills : Excellent communication, prioritization, and stakeholder management skills to align cross-functional teams and drive product vision. Requirements : Proven experience as a Product Owner or Product Manager in data or AI. Strong understanding of data infrastructure, including ETL/ELT, cloud data storage, and model lifecycle management. Familiarity with AI/GenAI applications and their data needs. Excellent communication and prioritization skills to manage cross-functional teams.

The Data Automation Team supports multiple processes in collaboration with the AR & Billing team in their goal of provisioning the Experian products to end clients right first time. The Data Automation Team must ensure accurate completion of the assigned tasks related to account setup and follow up amendments, pricing application or additional changes that can be required, invoice and credit notes documents creation and Third-party portal invoice upload, in the respective platforms used by the AR & Billing team to provide the service agreements. Principle responsibilities Service and Billing Opening new accounts and setting the customer up in RPM, Permissions, Mainframe, Oracle, RDE and multiple billing and product platforms manually or using existing automated solution Main invoices and credit notes Loading cyclic invoicing and other billing files into the billing system Actioning account amendments to pricing, customer name/address/branch Checking expired DPR licenses to ensure customers have renewed these and updating our system accordingly. Actioning account closures in the RPM, Permissions, Mainframe, and product platforms Third party portal Invoice loading into client websites. Use dashboarding and ERP tools to make accurate invoice delivery using third party client portal. Data automation Process improvement measures for billing and portal-based invoice delivery as part of future projects Required main skills (functional / technical) Flexibility. Identify process and report improvements that improve quality of deliverables Participate in any Regional or Global projects Ensure excellent and data quality in the systems Support the assigned project (Acquisitions and Mergers, Divestment - when required) Undertake special assignments, ad hoc functions, and other responsibilities as and when requested by the line manage You will be reporting to a Senior Manager or a Director About Experian Experience and Skills You are required to have 2+ years of experience in data management Knowledge of dashboarding/data management tools Able to work on own initiative and prioritize daily workload. Proficient in Microsoft Word and Excel Additional Information Our uniqueness is that we truly celebrate yours. Experians culture and people are important differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experians strong people first approach is award winning; Great Place To Work in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) to name a few. Check out Experian Life on social or our Careers Site to understand why. Experian Careers - Creating a better tomorrow together Benefits Experian care for employees work life balance, health, safety and wellbeing. In support of this endeavor, we offer best-in-class family well-being benefits, enhanced medical benefits and paid time off. #LI-Onsite Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here

Location : Remote (India). Employment Type : Contract (Remote). Job Summary : We are looking for a highly skilled Data Engineer / Data Modeler with strong experience in Snowflake, DBT, and GCP to support our data infrastructure and modeling initiatives. The ideal candidate should possess excellent SQL skills, hands-on experience with Erwin Data Modeler, and a strong background in modern data architectures and data modeling techniques. Key Responsibilities : - Design and implement scalable data models using Snowflake and Erwin Data Modeler. - Create, maintain, and enhance data pipelines using DBT and GCP (BigQuery, Cloud Storage, Dataflow). - Perform reverse engineering on existing systems (e.g., Sailfish/DDMS) using DBeaver or similar tools to understand and rebuild data models. - Develop efficient SQL queries and stored procedures for data transformation, quality, and validation. - Collaborate with business analysts and stakeholders to gather data requirements and convert them into physical and logical models. - Ensure performance tuning, security, and optimization of the Snowflake data warehouse. - Document metadata, data lineage, and business logic behind data structures and flows. - Participate in code reviews, enforce coding standards, and provide best practices for data modeling and governance. Must-Have Skills : - Snowflake architecture, schema design, and data warehouse experience. - DBT (Data Build Tool) for data transformation and pipeline development. - Strong expertise in SQL (query optimization, complex joins, window functions, etc.) - Hands-on experience with Erwin Data Modeler (logical and physical modeling). - Experience with GCP (BigQuery, Cloud Composer, Cloud Storage). - Experience in reverse engineering legacy systems like Sailfish or DDMS using DBeaver. Good To Have : - Experience with CI/CD tools and DevOps for data environments. - Familiarity with data governance, security, and privacy practices. - Exposure to Agile methodologies and working in distributed teams. - Knowledge of Python for data engineering tasks and orchestration scripts. Soft Skills : - Excellent problem-solving and analytical skills. - Strong communication and stakeholder management. - Self-driven with the ability to work independently in a remote setup.

Responsibilities : Data Exploration and Insights : - Conduct continuous data exploration and analysis to identify opportunities for enhancing data matching logic, including fuzzy logic, and improving overall data quality within the SCI solution. - This includes working with large datasets from various sources, including Excel files and databases. Data Quality Improvement : - Perform various analyses specifically aimed at improving data quality within the SCI system. - This will involve identifying data quality issues, proposing solutions, and implementing improvements. Weekly Playback and Collaboration : - Participate in weekly playback sessions, using Jupyter Notebook to demonstrate data insights and analysis. - Incorporate new explorations and analyses based on feedback from the working group and prioritized tasks. Project Scaling and Support : - Contribute to the scaling of the SCI project by supporting data acquisition, cleansing, and validation processes for new markets. - This includes pre-requisites for batch ingestion and post-batch ingestion analysis and validation of SCI records. Data Analysis and Validation : - Perform thorough data analysis and validation of SCI records after batch ingestion. - Proactively identify insights and implement solutions to improve data quality. Stakeholder Collaboration : - Coordinate with business stakeholders to facilitate the manual validation of records flagged for manual intervention. - Communicate findings and recommendations clearly and effectively. Technical Requirements : - 5+ years of experience as a Data Scientist. - Strong proficiency in Python and SQL. - Extensive experience using Jupyter Notebook for data analysis and visualization. - Working knowledge of data matching techniques, including fuzzy logic. - Experience working with large datasets from various sources (Excel, databases, etc. - Solid understanding of data quality principles and methodologies. Skills : - SQL - Machine Learning (While not explicitly required in the initial description, it's a valuable skill for a Data Scientist and should be included) - Data Analysis - Jupyter Notebook - Data Cleansing - Fuzzy Logic - Python - Data Quality Improvement - Data Validation - Data Acquisition - Communication and Collaboration - Problem-solving and Analytical skills Preferred Qualifications (Optional, but can help attract stronger candidates) : - Experience with specific data quality tools and techniques. - Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP). - Experience with data visualization tools (e.g., Tableau, Power BI). - Knowledge of statistical modeling and machine learning algorithms

Description Analyzing and translating business needs into long-term solution data models. Evaluating existing data systems. Working with the development team to create conceptual data models and data flows. Developing best practices for data coding to ensure consistency within the system. Reviewing modifications of existing systems for cross-compatibility. Implementing data strategies and developing physical data models. Updating and optimizing local and metadata models. Evaluating implemented data systems for variances, discrepancies, and efficiency. Maintain logical and physical data models along with accurate metadata. Analyze data-related system integration challenges and propose appropriate solutions with strategic approach Should have Strong knowledge in Databases, cloud technologies, Data Valut Architecture.