Job description Project Role :Software Development Engineer Project Role Description :Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills :SAP BW/4HANA Good to have skills :NAMinimum 7.5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your typical day will involve collaborating with team members to perform maintenance and enhancements, ensuring that the applications meet the evolving needs of users while adhering to best practices in software development. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge.- Continuously evaluate and improve development processes to increase efficiency. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BW/4HANA.- Strong understanding of data modeling and ETL processes.- Experience with SAP HANA database and its functionalities.- Familiarity with reporting tools and techniques within the SAP ecosystem.- Ability to troubleshoot and resolve technical issues effectively. Additional Information:- The candidate should have minimum 7.5 years of experience in SAP BW/4HANA.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education Role: Data warehouse Developer Industry Type: IT Services & Consulting Department: Engineering - Software & QA Employment Type: Full Time, Permanent Role Category: DBA / Data warehousing Education UG: B.Tech/B.E. in Any Specialization PG: Any Postgraduate Key Skills Skills highlighted with ‘‘ are preferred keyskills sapdata modelingsap bwsap hanaetl process pythonsoftware developmentoracledatastagedata warehousingbusiness intelligencesql serversqlplsqltableaujavaunix shell scriptingetlssisreporting toolsinformaticadata integrationunix

Job description The International Analytics team India is looking for experienced product analyst who will support product, engineering and leadership team with insights gained from analysing product and business data. They must have a proven ability to drive business results with their data-based insights. What you will do The International Analytics team India is looking for experienced product analyst who will support product, engineering and leadership team with insights gained from analysing product and business data. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The candidate will work across a family of areas (eg customer engagement, digital experience, merchandising, Supply chain, Financial services, Operations) to help set the vision for creating amazing products. Define metrics, drive roadmaps, and uncover opportunities to improve our products. Have a strong bias towards action, enjoy finding patterns amidst chaos, and have demonstrated success in using analytics to drive business impact. Has the technical skills to surface insights quickly, and the interpersonal skills to communicate those insights in a way that persuades action. Work with your team to develop new analytic methods Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business Partner with product leaders, designers, and engineering managers to improve our products and prioritize projects for impact. Represent the product analytics team in key meetings and business reviews with our executive team and founders Provide data driven insights and deliver recommendations that address opportunities for product improvements Use statistical methods to generate and test hypotheses. This includes: Performing analytical deep-dives to identify problems, opportunities and actions required; Collecting, processing, and cleaning data from disparate sources using SQL, R, Python, or other scripting and statistical tools Managing the design, execution, and analysis of A/B tests; driving rigor and testing culture through product teams What you will Bring 5-10 years of experience of working in a high growth analytics team. Fluency in SQL, as we'll as an understanding of statistical analysis, and common pitfalls of data analysis. Basic understanding of query logic is a MUST. Bachelors degree in Statistics, Computer Science, Business Administration or related field. Relevant experience in Product analytics will be a PLUS. Excellent written and verbal communication skills for coordinating across teams. Strong problem solving skills with an emphasis on product development. Led or worked independently on major initiatives. Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Arts, Finance or related field and 2 years experience in data analysis, data science, statistics, or related field. Option 2: Masters degree in Business, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years experience in data analysis, data science, statistics, or related field. Role: Data Analyst Industry Type: Retail Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Business Intelligence & Analytics Education UG: Any Graduate, B.B.A/ B.M.S in Management PG: Any Postgraduate Key Skills Supply chainProduct AnalystData analysisProduct engineeringNetworkingMerchandisingInformation technologySQLPython

Job description Drive data-derived insights across a wide range of retail divisions by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assess data validity and synthesize data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and train statistical models and machine learning algorithms for replication for future projects Deploy and maintain the data science solutions Communicate recommendations to business partners and influence future plans based on insights What You Will Bring Consult with business stakeholders regarding algorithm-based recommendations and be a thought-leader to develop these into business actions. Play a key role to solve complex problems, pivotal to Walmarts business and drive actionable insights Utilize product mindset to build, scale and deploy holistic data science products after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead and collaborate with the team to assess customer needs and translate the business problem into an analytical problem Articulate and present recommendations to business partners and influence plans based on insights Partner and engage with associates in other regions for delivering the best services to customers around the globe Work with the customer-centric mindset to deliver high-quality business-driven analytic solutions. Mentor junior data scientists and handle multiple projects at the same time. Drive innovation in approach, method, practices, process, outcome, delivery, or any component of end-to-end problem solving Promote and support company policies, procedures, mission, values, and standards of ethics and integrity Qualifications Bachelors/Masters > 9 years OR Ph.D. in Comp Science/Statistics/Mathematics with > 5 years of relevant experience. Education qualifications should be Computer Science/Statistics/Mathematics or a related area. Ability to lead the data science projects end to end. Experience in leading data science initiatives in customer care and customer growth like Chatbot, Agent Auto Response, Search Engine Optimization, Marketing etc Experience in analyzing complex problems and translating them into analytical solutions. Experience in machine learning: Classification models, regression models, Data/Text Mining, Convex Optimization, Text Retrieval Algorithms Experience in statistical learning: Generalize linear model, Time Series, Dynamic/Causal Model, Statistical Learning Ability to utilize the data science solutions outcomes to drive the predictive and prescriptive analytics. Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data. Ability to scale and deploy the data science solutions Strong Experience with one or more of Python and R Experience in Working with GCP Experience in deep learning and worked in TensorFlow/Torch Experience with GPU/CUDA for computational efficiency Minimum Qualifications... Minimum Qualifications:Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years experience in an analytics related field. Option 3: 6 years experience in an analytics or related field. Role: Data Scientist Industry Type: Retail Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Supply chainText miningComputer scienceCareer developmentdata scienceNetworkingAnalyticalMachine learningInformation technologyBusiness operations

Job description In Ecosystem & Operational Risk (EOR) technology group, the Payment Fraud Disruption team is responsible for building critical risk and fraud detection and prevention applications and services at Visa. This includes idea generation, architecture, design, development, and testing of products, applications, and services that provide Visa clients with solutions to detect, prevent, and mitigate fraud for Visa and Visa client payment systems. We are in search of inquisitive, creative, and skillful technologists to join our ranks. We are currently looking for a Director of Software Engineering who will take the lead and manage several strategic initiatives within our organization. The right candidate will possess a strong software engineering background, with demonstrated leadership experience in driving technical architecture, design and delivery of products and services that have created business value and delivered impact. Essential Functions Responsible for building enterprise scale applications leveraging Data Engineering, AI/ML and GenAI technologies. Oversee the end-to-end product lifecycle, from ideation, research, design, development, testing, launch to post-launch evaluation. Foster an environment of innovation, encouraging the team to bring forward new ideas and solutions Act as a key liaison between the product team, executive leadership, and other stakeholders, ensuring transparency and alignment. Responsible for the overall development life cycle of the solution and manage complex products with significant bottom-line impact Work with geographically distributed global teams Work with product managers in developing a strategy and road map to provide compelling capabilities that helps them succeed in their business goals Work closely with senior engineers to develop the best technical design and approach for new product development Instill best practices for software development and documentation, assure designs meet requirements, and deliver high quality work on tight schedules Project management: prioritization, planning of projects and features, stakeholder management and tracking of external commitments Identify opportunities for further enhancements and refinements to standards and processes Hire, retain and grow world class engineering talent Mentor junior team members, develop departmental procedures and best practices standards Strong Negotiation Skills: You will be a distinguished ambassador for product development: collaborating, negotiating, managing tradeoffs, and evaluating opportunistic new ideas with business partners This is a hybrid position. Expectation of days in office will be confirmed by your Hiring Manager. Basic Qualifications: 15 or more years of work experience with a Bachelor s Degree or with an Advanced Degree Requires 15 or more years of experience, at least 3+ years in leading engineering teams Experience leading design and development of data pipelines and analytics platforms Experience leading product development & delivery of AI/ML solutions, applied to real-world problems Experience leading design and development of mission-critical, secure, reliable systems Experience leading or knowledge of GenAI product development with deep expertise in LLM integration and prompt engineering Experience leading delivery across multiple technologies: Python, Java/J2EE, Apache Kafka, Apache Flink, Hive, MySQL, Hadoop, Spark, Scala, design patterns, test automation frameworks Excellent understanding of algorithms and data structures Excellent problem solving and analytics skills. Capable of forming and advocating an independent viewpoint Strong experience with agile methodologies Excel in partnering with Product leaders and technical product managers, helping define joint product/technology roadmaps & driving prioritization Experience driving continuous improvements to processes / tools for better developer efficiency and productivity Demonstrated ability to drive measurable improvements across engineering, delivery and performance metrics Demonstrated success in leading high perf

Job description Our Data Engineers play a crucial role in designing and operationalizing transformational enterprise data solutions on Cloud Platforms, integrating Azure services, Snowflake technology, and other third-party data technologies. Cloud Data Engineers will work closely with a multidisciplinary agile team to build high-quality data pipelines that drive analytic solutions. These solutions will generate insights from our connected data, enabling Kimberly-Clark to advance its data-driven decision-making capabilities. The ideal candidate will have a deep understanding of data architecture, data engineering, data warehousing, data analysis, reporting, and data science techniques and workflows. They should be skilled in creating data products that support analytic solutions and possess proficiency in working with APIs and understanding data structures to serve them. read more Key Skills Performance tuningData modelingRDBMSCodingFlexAgileData structuresTroubleshootingSQLPython

Job description You utilize product domain knowledge and sound engineering practices to develop test-wares and to manage embedded firmware & product interoperability tests for Rockwe'll automation products. Engineer I/Engineer II are going to work with the test leads and then learn about our product architects, our processes and our latest technologies. Senior Engineer will have roles to lead test strategy and test execution activities in several projects. Your Responsibilities: read more Key Skills AutomationManual testingAgileRegression testingFirmwareTest casesDistribution systemTestingPython

Job description you're driven to perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, we'llbeing, and career development. You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we're constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you'll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business. read more Key Skills Performance tuningData modelingRDBMSCodingFlexAgileData structuresTroubleshootingSQLPython

Job description To ensure that Visa s payment technology is truly available to everyone, everywhere requires the success of our key bank or merchant partners and internal business units. The Internal AI & Data Science Practice group supports these partners by using our outstandingly rich data set that spans more than 3 billion cards globally and collects more than 100 billion transactions in a single year. Our focus lies on building creative solutions that have an immediate impact on the business of our highly analytical partners. We work in complementary teams comprising members from Data Science and various groups at Visa. To support our rapidly growing group we are looking for Senior Data Engineers who are equally passionate about the opportunity to use Visa s rich data to solve meaningful business problems. You will join the Data Science team focused on improving our understanding of products and economic valuations, with an opportunity for rotation within Data Science to gain broad exposure to Visa s business. We are looking for a seasoned individual contributor who is comfortable engaging with business owners, data enthusiasts, and technology teams. Successful candidates have strong experience in developing complex data solutions for business improvements. Help improve Visa s decision-making by making data more accessible and relevant to key partners Develop deep partnerships with engineering, finance, and product teams to deliver on major cross-functional solution development Work with a team of talented data and analytics engineers with the ability to not only keep up with, but also pioneer, in this space. Create extract, transform, load (ETL) processes for easy ingestion and use Find opportunities to create, automate and scale repeatable financial and statistical analysis Provide technical leadership in a team that generates business insights based on big data, identify impactful recommendations, and communicate the findings to clients Brainstorm innovative ways to use our unique data to answer business problems Collaborate with and influence leadership so that your teams work directly impacts company strategy and direction. Communicate effectively to all levels of the organization, including executives. Basic Qualifications 8 years of work experience with a Bachelor s Degree or at least 2 years of work experience with an Advanced degree (e.g. Master s, MBA, JD, MD) or 0 years of work experience with a PhD degree Preferred Qualifications 6-8 years of work experience with a Bachelor s Degree or 4-6 years of work experience with an Advanced Degree (e.g. Master s, MBA, JD, MD) or 3 years of experience with a PhD 4+ years experience in data-based decision-making or quantitative analysis Master s degree in Statistics, Operations Research, Applied Mathematics, Economics, Data Science, Business Analytics, Computer Science, or a related technical field Exposure to Financial Services/ Payments data analytics and ETL development. Experience in implementing ETL pipelines in Spark, Python, HIVE or SAS that process transaction and account level data and standardization of data pipelines. Advanced experience in writing and optimizing efficient SQL queries with Python, Spark, Hive, Scala handling Large Data Sets in Big-Data Environments. Experience with Unix/Shell and exposure to Scheduling tools like Oozie and Airflow. Experience building end-to-end automated pipelines for AI/ML models including model training, model validation, model refit, model recalibration, model monitoring, model servicing, etc. Experience with data visualization using Tableau, Power BI or similar tools Strong written, verbal, and interpersonal skills needed to effectively communicate technical insights and recommendations with business customers and leadership team. Good business acumen to orient data analysis to business needs of clients. Ability to translate data and technical concepts into requirements documents, business cases and user stories. Ability to learn new tools and paradigms as data science continues to evolve at Visa and elsewhere. De

Job description For Visa to deliver on the vision of the best way to pay and be paid for everyone, everywhere, the Operations & Infrastructure (O&I) group must provide best-in-class infrastructure services that are secure, scalable, continuously available, and run on software-defined infrastructures. The O&I group offers an exciting opportunity to work on latest technologies where the industry is going through major innovations such as cloud computing. The Middleware Engineering provides end-to-end design, build and support services for the Web and Middle-tier platforms, which comes under PaaS (Platform as a Service). Selected candidate would work alongside other Middleware Systems engineers and technical team members, to design, build, support, and enhance internal and external facing platform built on top of various Middleware and Integration platforms. We are looking for an innovative, capable Staff Systems Engineer / DevOps / Cloud Engineer working with the Middleware Engineering team is part of the Operations & Infrastructure and is responsible for common middleware and integration infrastructure that supports communication between multiple enterprise applications and multiple business lines. This role will be responsible for development, configuration, problem analysis, deployment, and continuous operational improvement of middleware technologies used at Visa. Applicant should also have an excellent foundational knowledge of web/App tier (Tomcat/JAVA/Httpd, etc) and be comfortable implementing Security (SSL/PKI), compliance industry standards, Understanding of Micro Container technology and best practices. Responsibilities: Review various middleware technologies in a cloud environment, manage seamless deployment, and integrate with other internal middleware technologies and applications. Lead the design, implementation, and management of highly available and scalable infrastructure for all cloud initiatives (Ex: GCP, Azure, AWS). Collaborate with internal stakeholders to understand business requirements and translate them into effective cloud-based operational architectures. Design, implement, and optimize Middleware components & services on GCP/Azure/AWS. Develop and implement best practices and standards for deploying and managing applications on Middleware components. Perform system and application performance tuning and optimization to maximize efficiency and scalability. Develop and manage automation plan for deploying, managing, and monitoring middleware technologies. Ensure the middleware technology stacks security, scalability, and performance. Provide technical guidance and support to more prominent team members. Keep abreast of the latest industry trends and technologies. Open to experimenting with Open Source technology, performing POC, providing recommendations, and driving to standardization. This role will complement Middleware Engineering team with Cloud. Currently, multiple projects are considering using public cloud providers such as AWS, GCP and Azure. This role will help build the cloud foundation for the group. Basic Qualification -5 or more years of work experience with a Bachelor s Degree or 4 or more years of relevant experience with an Advanced Degree. -5 or more years of work experience with a Bachelor s Degree or 4 or more years of relevant experience with an Advanced Degree. -Proven experience as a Cloud Engineer in a role managing Middleware technology stack or similar role. -Strong working experience with one or more middleware technologies related to Caching , Messaging, Web & App (Hazlecast, Kafka, MQ, Ngnix, Tomcat) areas. -Strong knowledge of cloud platforms like AWS, Google Cloud, or Azure. -Proficiency in scripting languages like Python, Shell, etc. -Familiarity with Ansible, Terraform, and CI/CD tools and processes. -Excellent problem-solving skills and attention to detail. -Strong communication and teamwork skills. -If you are a Cloud Engineer passionate about Middleware Technology, we would love to hear from you. This is a fantastic opportunity to impact a fast- paced, inno

Job description Our Data Engineers play a crucial role in designing and operationalizing transformational enterprise data solutions on Cloud Platforms, integrating Azure services, Snowflake technology, and other third-party data technologies. Cloud Data Engineers will work closely with a multidisciplinary agile team to build high-quality data pipelines that drive analytic solutions. These solutions will generate insights from our connected data, enabling Kimberly-Clark to advance its data-driven decision-making capabilities. The ideal candidate will have a deep understanding of data architecture, data engineering, data warehousing, data analysis, reporting, and data science techniques and workflows. They should be skilled in creating data products that support analytic solutions and possess proficiency in working with APIs and understanding data structures to serve them. read more Key Skills Performance tuningData modelingRDBMSCodingFlexAgileData structuresTroubleshootingSQLPython