3311 Big Data Jobs - Page 36

In this role, you will maintain ownership and responsibility of mission-critical systems, while being hands-on in building high-volume platforms using cutting-edge technologies like React and GraphQL. You will also have the opportunity to mentor and coach other software engineers, contributing significantly to our agile and scrum practices. As a major contributor to our team, you will design and lead crucial technical projects and initiatives across teams and departments. It is essential to stay on the leading edge of technical know-how, industry trends, and drive technical innovations. To succeed in this role, you should have at least 8 years of experience in developing web applications in client-side frameworks such as React, Angular, VueJS, etc., with a preference of 6+ years. A B.S. in Computer Science or a quantitative field is required, while an M.S. is preferred. Working experience with agile methodologies, analytics, A/B testing, Continuous Delivery, and Trunk-based Development is necessary. Having excellent HTML/CSS skills and a deep understanding of object-oriented JavaScript and TypeScript are crucial. Your love for new technologies and approaches, as well as a desire to use the best tools available, will be advantageous. It would be great if you have knowledge in physical architecture at scale, building resilient, highly available solutions with no single point of failure. Experience with NoSQL technologies (such as Cassandra, ScyllaDB, ElasticSearch, Redis, DynamoDB, etc.) and Queueing systems (including Kafka, RabbitMQ, SQS, Azure Service Bus, etc.) is beneficial. Working experience with Containers, Dockerization, and familiarity with K8S is a plus. Knowledge and hands-on experience in CI/CD solutions would also be advantageous. You should have strong experience in client-side performance optimization and be proficient in modern coding and design practices like Clean Code, SOLID principles, and TDD. Experience in multiple front-end platforms, including iOS, Android, Web, and API services, is desired. Experience working on an app or internet company at scale with large numbers of users and transactions per second is beneficial. Having experience in a data-driven company, with expertise in analyzing and working with Big Data, leading teams, and greenfield projects to solve large system problems is a plus. Experience in global projects serving world markets with distributed data centers and localization of the front end and data would also be advantageous.,

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: DataBricks - Data Engineering. Experience:5-8 Years.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLAs defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers and clients business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLAs Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Mandatory Skills: DataBricks - Data Engineering. Experience:5-8 Years.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? eCRMS organization is looking for a hands-on Software Engineer for Customer Domain (C360) Engineering team. The C360 Platform is a critical platform in American Express that provides a holistic view of the customers relationships with various American Express products and manages customers demographics and provides intelligent insights of customers. This platform is an integral part of all critical user journeys and is at the fore front of all the new initiatives the company is undertaking. In C360, we build and operate highly available and scalable microservices using event-driven reactive architecture to provide real time services to power critical use cases across the company. We perform data analysis, work on anomaly detection and create new data insights. This role of a Engineer will be an integral part of a team that builds large-scale, cloud-native, event-driven reactive applications to create 360-degree view of the customer. Join Team Amex and lets lead the way together. Specifically, you will help: Lead build of new micro-services that help manages our rapidly growing data hub. Lead build of services to perform real time data processing at scale for relational, analytical queries across multi-dimensional data. Lead build of services that generalize stream processing to make it trivial to source, sink and stream process data. Improve efficiency, reliability and scalability of our data pipelines. Work on cross-functional initiatives and collaborate with Engineers across organizations. Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking Be a productivity multiplier for your team by analyzing your workflow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results Are you up for the challenge Expected Qualifications : 4+ years of experience in building large scale distributed applications with object-oriented design using java related stack. Holds a masters or bachelor s degree in Computer Science, Information Systems, or other related field (or has equivalent work experience). Ability to implement scalable, high performing, secure, highly available solutions. Proficient in developing solution architecture for business problems and communicating it to large teams. Proficient in weighing pros and cons of different solution options and gaining alignment on the preferred option with multiple stakeholders. Experience with NoSQL technologies such as Cassandra, Couchbase, etc. Experience with web services and API development on enterprise platforms using REST, GraphQL, and gRPC. Expertise in Big Data technologies like Hive, Map Reduce, and Spark Experience in Event Driven Microservice architecture Vert.X, Kafka, etc Experience with automated release management using Maven, Git, Jenkins. Experience with Vert.X and Event driven Architecture is a plus. Experience with Postgres is a plus. Experience with Docker/Openshift based deployment is a plus.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, youll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. How will you make an impact in this role? eCRMS organization is looking for a hands-on Software Engineer for Customer Domain (C360) Engineering team. The C360 Platform is a critical platform in American Express that provides a holistic view of the customers relationships with various American Express products and manages customers demographics and provides intelligent insights of customers. This platform is an integral part of all critical user journeys and is at the fore front of all the new initiatives the company is undertaking. In C360, we build and operate highly available and scalable microservices using event-driven reactive architecture to provide real time services to power critical use cases across the company. We perform data analysis, work on anomaly detection and create new data insights. This role of a Engineer will be an integral part of a team that builds large-scale, cloud-native, event-driven reactive applications to create 360-degree view of the customer. Join Team Amex and lets lead the way together. Specifically, you will help: Lead build of new micro-services that help manages our rapidly growing data hub. Lead build of services to perform real time data processing at scale for relational, analytical queries across multi-dimensional data. Lead build of services that generalize stream processing to make it trivial to source, sink and stream process data. Improve efficiency, reliability and scalability of our data pipelines. Work on cross-functional initiatives and collaborate with Engineers across organizations. Influence team members with creative changes and improvements by challenging status quo and demonstrating risk taking Be a productivity multiplier for your team by analyzing your workflow and contributing to enable the team to be more effective, productive, and demonstrating faster and stronger results Are you up for the challenge Expected Qualifications : 8+ years of experience in building large scale distributed applications with object-oriented design using java related stack. Holds a masters or bachelor s degree in Computer Science, Information Systems, or other related field (or has equivalent work experience). Ability to implement scalable, high performing, secure, highly available solutions. Proficient in developing solution architecture for business problems and communicating it to large teams. Proficient in weighing pros and cons of different solution options and gaining alignment on the preferred option with multiple stakeholders. Experience with NoSQL technologies such as Cassandra, Couchbase, etc. Experience with web services and API development on enterprise platforms using REST, GraphQL, and gRPC. Expertise in Big Data technologies like Hive, Map Reduce, and Spark Experience in Event Driven Microservice architecture Vert.X, Kafka, etc Experience with automated release management using Maven, Git, Jenkins. Experience with Vert.X and Event driven Architecture is a plus. Experience with Postgres is a plus. Experience with Docker/Openshift based deployment is a plus. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Position Summary... What youll do... About Team International Data S cience team at Walmart Global Tech is focused on using the latest research in machine learning, statistics and optimization to solve business problems in assortment, pricing , sourcing, customer, supply chain, and replenishment areas for multiple countries within Walmart s global operations . We mine data, distill insights, extract information, build analytical models , deploy Machine Learning algorithms, and use the latest algorithms and technology to empower business decision-making. We work with engineers to build reference architectures and machine learning pipelines in a big data ecosystem to productize our solutions . Advanced analytical algorithms driven by our team will help Walmart to optimize business operations, business practices and change the way our customers shop. The data science community at Walmart Global Tech is active in most of the Hack events, utilizing the petabytes of data at our disposal, to build some of the coo lest ideas. All the work we do at Walmart Labs will eventually benefit our operations & our associates, helping Customers Save Money to Live Better. Your O pportunity As an Senior Data Scientist for Walmart Global Tech , you ll have the opportunity to Drive data-derived insights across the wide range of retail division s by developing advanced statistical models , machine learning algorithms and computational algorithms based on business initiatives Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals Utilize big data analytics and advanced data science techniques to i dentify trends, patterns, and discrepancies in data. Determine additional data needed to support insights Build and t rain statistical models and machine learning algorithms for replication for future projects Communicate recommendations to business partners and influencing future plans based on insights What You Will Do Play a key role to solve complex problems, pivotal to Walmart s business and drive actionable i nsights from petabytes of data Utilize product mindset to build, scale and deploy holistic data science produc ts after successful prototyping Demonstrate incremental solution approach with agile and flexible ability to overcome practical problems Lead small teams and participate in data science project teams by serving as the technical lead for project Partner with senior team members to assess customer needs and define business questions Clearly articulate and present recommendations to business partners, and influence future plans based on i nsights Partner and engage with associates in other regions for delivering best services to the customers around the globe Work with customer centric mindset to deliver high quality business dr iven analytic solution Mentor peers and analysts across the divisi on in analytical best practices 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 Our Ideal Candidate You are a technical ly strong and high performing individual with excellent communication skills, proven analytical skill set and strong customer focus. You stay updated with latest research and technology ideas, and have a passion to utilize innovative ways to solve problems. You are a good story-teller and able to simply articulate the intricacies of your models as well as explain your results clearly to stakeholders. You have industry knowledge of the retail space, with keen interest in keeping up to date on the latest happenings in this space. What You will Bring Bachelors with > 7 years of relevant experience OR Masters with > 5 years of relevant experience OR PHD in Comp Science/ Statistics/Mathematics with > 3 years of relevant experience Experience in Analyzing the Complex Problems and translate it into data science algorithms Experience in machine learning , supervised and unsupervised: NLP, Classification, Data/Text Mining , Multi-modal supervised and unsupervised models , Neural Networks, Deep Learning Algorithms Experience in statistical learning: Predictive & Prescriptive Analytics, Web Analytics, Parametric and Non-parametric models, Regression, Time Series, Dynamic/Causal Model, Statistical Learning, Guided Decisions, Topic Modeling Experience with big data analytics - identifying trends, patterns, and outliers in large volumes of data Embedding generation from training materials, storage and retrieval from Vector Databases, set-up and provisioning of managed LLM gateways, development of Retrieval augmented generation based LLM agents, model selection, iterative prompt engineering and finetuning based on accuracy and user-feedback, monitoring and governance. Lead role mentoring multiple Jr. Analysts on approach and results . Strong Experience in Python , PySpark Google Cloud platform , Vertex AI, Kubeflow, model deployment Strong Experience with big data platforms - Hadoop (Hive, Map Reduce, HQL , Scala ) Additional Preferred Qualifications: Domain Knowledge of one or more divisions in Retail Published papers or given talks in leading academic and research journals Published papers or given talks in Data Science Forums Hold data science related patents Experience with big data platforms - Hadoop( Hive, Pig, Map Reduce, HQL) / Spark Experience in deep learning and w orked in TensorFlow and Torch Experience with GPU/C UDA for c omputational efficiency About Walmart Global Tech . . Flexible, hybrid work . Benefits . Belonging . . Equal Opportunity Employer Walmart, Inc., is an Equal Opportunities Employer - By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting and valuing unique styles, experiences, identities, ideas and opinions - while being inclusive of all people Minimum Qualifications... Minimum Qualifications:Option 1- Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years experience in an analytics related field. Option 2- Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years experience in an analytics related field. Option 3 - 5 years experience in an analytics or related field. Preferred Qualifications...

Project description During the 2008 financial crisis, many big banks failed or faced issues due to liquidity issues. Lack of liquidity can kill any financial institution over the night. That's why it's so critical to constantly monitor liquidity risks and properly maintain collaterals. We are looking for a number of talented developers, who would like to join our team in Pune, which is building liquidity risk and collateral management platform for one of the biggest investment banks over the globe. The platform is a set of front-end tools and back-end engines. Our platform helps the bank to increase efficiency and scalability, reduce operational risk and eliminate the majority of manual interventions in processing margin calls. Responsibilities The candidate will work on development of new functionality for Liqudity Risk platform closely with other teams over the globe. Skills Must have BigData experience (6 years+); Java/python J2EE, Spark, Hive; SQL Databases; UNIX Shell; Strong Experience in Apache Hadoop, Spark, Hive, Impala, Yarn, Talend, Hue; Big Data Reporting, Querying and analysis. Nice to have Spark Calculators based on business logic/rules Basic performance tuning and troubleshooting knowledge Experience with all aspects of the SDLC Experience with complex deployment infrastructures Knowledge in software architecture, design and testing Data flow automation (Apache NiFi, Airflow etc) Understanding of difference between OOP and Functional design approach Understanding of an event driven architecture Spring, Maven, GIT, uDeploy;

Role Purpose The purpose of this role is to provide significant technical expertise in architecture planning and design of the concerned tower (platform, database, middleware, backup etc) as well as managing its day-to-day operations Do Provide adequate support in architecture planning, migration & installation for new projects in own tower (platform/dbase/ middleware/ backup) Lead the structural/ architectural design of a platform/ middleware/ database/ back up etc. according to various system requirements to ensure a highly scalable and extensible solution Conduct technology capacity planning by reviewing the current and future requirements Utilize and leverage the new features of all underlying technologies to ensure smooth functioning of the installed databases and applications/ platforms, as applicable Strategize & implement disaster recovery plans and create and implement backup and recovery plans Manage the day-to-day operations of the tower Manage day-to-day operations by troubleshooting any issues, conducting root cause analysis (RCA) and developing fixes to avoid similar issues. Plan for and manage upgradations, migration, maintenance, backup, installation and configuration functions for own tower Review the technical performance of own tower and deploy ways to improve efficiency, fine tune performance and reduce performance challenges Develop shift roster for the team to ensure no disruption in the tower Create and update SOPs, Data Responsibility Matrices, operations manuals, daily test plans, data architecture guidance etc. Provide weekly status reports to the client leadership team, internal stakeholders on database activities w.r.t. progress, updates, status, and next steps Leverage technology to develop Service Improvement Plan (SIP) through automation and other initiatives for higher efficiency and effectiveness Team Management Resourcing Forecast talent requirements as per the current and future business needs Hire adequate and right resources for the team Train direct reportees to make right recruitment and selection decisions Talent Management Ensure 100% compliance to Wipros standards of adequate onboarding and training for team members to enhance capability & effectiveness Build an internal talent pool of HiPos and ensure their career progression within the organization Promote diversity in leadership positions Performance Management Set goals for direct reportees, conduct timely performance reviews and appraisals, and give constructive feedback to direct reports. Ensure that organizational programs like Performance Nxt are well understood and that the team is taking the opportunities presented by such programs to their and their levels below Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Proactively challenge the team with larger and enriching projects/ initiatives for the organization or team Exercise employee recognition and appreciation Mandatory Skills: Big Data Consulting. Experience: 5-8 Years.

Leader, Engineering-SW developer, agile methodology, Python, kubernetes, Cybersecurity, automation, PCB or semiconductor Your Impact As anEngineering Leader, you will play a pivotal role in designing and delivering transformative solutions while mentoring and growing a high-performing team. In this role, you will: Lead by Example:Manage adiverse team of engineers, fostering a culture of collaboration, innovation, and technical excellence. Coach and Mentor:Guide career development for team members, coachingjunior engineersand maximizing the potential ofsenior team members. Deliver Business Solutions:Drive the development and implementation of technical solutions that address key business challenges for theTechnology and Quality Systems Groupand its stakeholders. Build Strategic Partnerships:Collaborate withGlobal Manufacturing Operations (GMO)andProduct Operationsto establish and execute a technical roadmap aligned with joint business goals. Develop the Team:Build a strongtechnical leadership pipelinewhile driving solutions that meet business needs and enable organizational growth. Champion Organizational Growth:Represent organizational strategies and supportsite development initiativesfor long-term success. Minimum Qualifications You bring a blend oftechnical expertise,people management skills, and a strong drive to lead impactful programs. Education: Bachelor's degree inEngineering or Science, and an MBA or equivalent practical experience. Experience: 5+ yearsof experience managingengineering teamswith 10+ members. Proven experience inpeople management, including hiring, staffing, performance evaluations, and managing team expectations. Strong leadership skills with a track record of driving successful,complex programs. Experience working in business organizations, managingcross-functional stakeholders, and negotiating solutions. Preferred Qualifications You are a strategic thinker with a deep understanding of the manufacturing domain and a passion for driving innovation. Exceptional ability to buildinternal and external stakeholder networksand foster relationships to deliver on strategic plans and projects. Strong understanding of themanufacturing business domainand its associated technical constraints. Proven ability to leadmultiple cross-functional teamsto deliver against plans. Outstanding communication skills, with the ability to adapt messaging fortechnical and business audiences. Established relationships and networks with leaders of stakeholder organizations. Responsibilities in Detail Lead and Inspire:Foster a collaborative and innovative environment for a diverse team of engineers, ensuring they are empowered to excel. Strategic Roadmap Execution:Partner withGMOandProduct Operationsto define and execute a roadmap that aligns with business objectives. Solve Business Challenges:Leverage cutting-edge technologies to develop transformative solutions that meet complex business needs. Team Development:Build a strong leadership pipeline, focusing on career development, mentorship, and team growth. Drive Innovation:Lead initiatives that explore the use of advanced technologies likebig data,AI, andadvanced visualization toolsto drive disruption in the manufacturing domain. Stakeholder Collaboration:Serve as a trusted advisor for internal and external stakeholders, ensuring alignment on technical and organizational goals.

Hello Connections , Exciting Opportunity Alert !! We're on the hunt for passionate individuals to join our dynamic team as Data Engineer Job Profile : Data Engineers Experience : Minimum 5 to Maximum 8 Yrs of exp Location : Chennai / Hyderabad / Bangalore / Mumbai/ Pune Mandatory Skills : Big Data | Hadoop | Java| spark | sparkSql | Hive Qualification : B.TECH / B.E / MCA / Computer Science Background - Any Specification How to Apply? Send your CV to: sipriyar@sightspectrum.in Contact Number - 6383476138 Don't miss out on this amazing opportunity to accelerate your professional career! #bigdata #dataengineer #hadoop #spark #python #hive # pysaprk

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.

Required Skills & Experience: 7+ years of QA experience, with 5+ years in Facets US Healthcare Experience especially in Claims processing, Membership, Providers and Utilization Managemen Strong experience with Facets application testing (UI, DB and Batch) Hands-on experience with Facets Modernization projects Familiarity with tools like JIRA or Rall Excellent communication and leadership skills. Experience: Preferred Skills Experience with Apache Airflow (nice to have) Knowledge of cloud platforms and migration strategies Certification in QA methodologies or Agile practices Mandatory Skills: HC - Payor. Experience:5-8 Years.

About this Role: As Director of Engineering in our Guest Line of Business in India, you will be a hands-on engineering leader that will help us shape the scale and growth of Toasts Guest teams in India. You will be responsible for delivering the technical roadmap and contribute to the product roadmap definition & execution for mission critical services. You will start with small teams that deliver impact and gain expertise in Guest Marketing domain areas, and you will grow the skills and size of your teams over time. You love finding creative ways to help your teams become more effective & efficient. You will connect your teams work to Toast s broader mission. You are a hands-on and entrepreneurial technical leader who is passionate about customer experience and will work closely with product & design counterparts to validate and deliver the customer job-to-be-done . On a given day, you might be reviewing solution designs, coordinating discussions between partner teams, collaborating on roadmaps with architectural and product stakeholders, and conducting 1:1s. This will be a heavily AI-focused role: you will be adept in using AI tools to not only make your own work more efficient but also increase the productivity of your team, as well as directing your teams on building AI-first products to serve our customers needs. Responsibilities: Drive delivery of business outcomes across multiple teams, including planning and execution. Build AI-first products with AI-enabled teams: drive adoption of AI tooling across your team as well as building AI-first products for customers. Collaborate closely with all product lines in Guest (Marketing and Digital Storefront, Consumer) across multiple geographies as well as the wider Toast organization in India, Ireland and USA. Keep product quality high with continuous delivery improvements, with responsibility for QA and AWS Infrastructure across the product Ensure end-to-end delivery of software, including team ownership of monitoring and production issue remediation, using technologies such as Splunk, Datadog, Sentry, Fire Hydrant and more. Incorporate advances in software technology (such as LLMs, DynamoDB, Pulsar, Kotlin, Camel, GraphQL, Big Data technologies, etc) into our solutions to ensure we make best use of industry best practices. Define & support career development plans for your team Mentor and coach both new and experienced Engineering Managers & Team Leads Grow teams to meet business needs Core Requirements: Highly product-minded and hands on engineering leader, willing to roll up sleeves and dive deep to learn and build new products and teams in a highly entrepreneurial environment. 15+ years of experience in Engineering leadership Experience in a start-up environment and entrepreneurial mindset will be a distinct advantage. Experience with hiring and developing empowered teams and managers. Deep familiarity with latest developments in AI both from engineering tooling perspective as well as product offerings to customers Experience working in a globally distributed company Experience in designing, building, and scaling B2B2C SaaS products with a focus on easy to use customer-centric experiences Experience with managing infrastructure operations and costs. Self starting leader with a bias towards action and the ability to balance between getting things done and making things perfect. A proven ability to influence decision-making at all levels within an organization A strong sense of empathy for customers and teammates A desire to build a diverse team that wins together and prioritizes customer success Nice to Haves: Experience with Agentic systems, Marketing and CRM software, and Loyalty platforms Diversity, Equity, and Inclusion is Baked into our Recipe for Success At Toast, our employees are our secret ingredient when they thrive, we thrive. The restaurant industry is one of the most diverse, and we embrace that diversity with authenticity, inclusivity, respect, and humility. By embedding these principles into our culture and design, we create equitable opportunities for all and raise the bar in delivering exceptional experiences. We Thrive Together We embrace a hybrid work model that fosters in-person collaboration while valuing individual needs. Our goal is to build a strong culture of connection as we work together to empower the restaurant community. To learn more about how we work globally and regionally, check out: https: / / careers.toasttab.com / locations-toast . Apply today! Toast is committed to creating an accessible and inclusive hiring process. As part of this commitment, we strive to provide reasonable accommodations for persons with disabilities to enable them to access the hiring process. If you need an accommodation to access the job application or interview process, please contact . ------ For roles in the United States, It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Project Code TBD Approx Start Date 7/14/2025 (Immediate) Number of Openings 1 Brief details about the Project (Share Few Key Words only) Sr Data Engineer Duration 6 months Total Yrs. of Experience 5-8 years Relevant Yrs. of experience 4-5 years Detailed JD (Roles and Responsibilities) Key Responsibilities: 1. 5 - 8 yrs experience in Azure ( Databricks , PySpark,) 2. Good to have knowledge in Azure Data factory. 3. Good communication skills 4. Experience in leading a team and handling project deliverables. Mandatory skills Blend of Technical skills, Business understanding, and strong communication and Project Management abilities Desired/ Secondary skills Databricks , PySpark Domain Client Vendor Rate (INR/Day) Rs.12-13 K per day Work Location Any Location (Preferred HYD) Is it complete WFO or Hybrid model (specify the days) Any Location (Preferred HYD) BG Check (Before OR After onboarding) In Parallel Is there any working in shifts from standard Daylight (to avoid confusions post onboarding) YES/ NO No

Detailed job description - Skill Set: Technically strong hands-on Self-driven Good client communication skills Able to work independently and good team player Flexible to work in PST hour(overlap for some hours) Past development experience for Cisco client is preferred.

Diverse Lynx is looking for Azure Data Engineer to join our dynamic team and embark on a rewarding career journey Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

Skill-Retail - Omni Channel Product manager Exp-10 Yrs 15 yrs Key Responsibilities Effectively translate business strategies into product strategies, value increments, and product specifications to deliver against our core customer value propositions, and our company strategic and financial goals Help manage the creation and maintenance of user stories and business requirements for new features and enhancements leveraging multiple work streams Prioritize new feature launches based on competitive analysis, industry trends, emerging technologies, and company vision Demonstrate empathy for the customer and steer discussions to how to build customer trust Influence cross functional team(s) without formal authority Articulate clear and concise requirements for new products and features Analyze complex data sets and leverage that analysis to make data-driven product decisions Work within a matrix organization collaborating with business stakeholders, User Experience (UX) teams, engineers, and other relevant digital and technology and business teams Improve value creation by defining and aligning on KPIs to measure success Work under rapid development cycles with medium to large teams to achieve a common goal Participate in day-to-day product team activities, driving high quality customer experiences and exploring what is possible with technology Basic Qualifications Bachelors degree in IT, Computer Science, Engineering, Business, Marketing or related field OR equivalent experience. 3-4 years of Product Management experience, OR experience working with development, User Experience, Strategy, or related. Including: 1+ year of experience with direct/indirect people management preferred 1+ year of relevant experience in strategy creation, customer-focused solutioning, cross-functional leadership, or related Experience successfully leading and delivering complex data products and initiatives. Experience with data visualization tools, data warehousing, big data technologies, and/or machine learning. Experience in collaborating with cross-functional teams in a global and diverse environment. Preferred Qualifications Experience working in an omni-channel retail environment Experience in setting ambitious, tangible, and measurable team objectives and key results. Strong understanding of data governance and best practices. Experience with Google Cloud Platform. Omni Channel, Product Managers, Retail

B2 - 4.5 - 7 yrs PAN India CBR - 110K Ansible (AAP) tower Design, Build, Upgrades, Administration, Maintenance and Production Support Ansible Certification Preferred. Primary Skills - Linux, Python, Ansible, DevOps tooling, Terraform, Puppet Strong Linux administration skills. Certification preferred. Proficient in Shell Scripting, Python, Ansible Automation. Experience in monitoring tools (Grafana, Prometheus etc) Experience using REST API's to integrate 3rd party tools and provide seamless end to end automation. Develop and maintain ansible playbooks for configuration management and automation. Implement and manage CI/CD pipelines to automate the building, scanning , testing and deployment of applications ensuring rapid and reliable delivery of software releases in adherence to DevSecOps Principles. Manage source code repositories and version control using Github including branch management and code reviews and merge strategies.Experience in using Jenkins, Git, Shell scripts, python and Ansible for automation and build tasks Robust understanding of security technologies (ssl/tls, authentication and authorisation frameworks, directory services, violations and policies, ACLs ) Experience with RBDMS (PostgreSQL, MariaDB, MySQL, Oracle or similar) and NoSQL databases (HBase, MongoDB, CassandraDB, Redis) Familiar with Test automation tools JUnit, Selenium, Cucumber Good Technical Design, Problem Solving and debugging skills Agile proficient and knowledgeable/experience in other agile methodologies. Ideally certified. Additional Skills Knowledge of Hadoop, Airflow, Kafka, Data Flow technologies is added advantage. Contribution to Apache open source, Public GitHub repository with sizeable, big data operations and application code base Analytical approach to problem resolution. Enthusiastic about Big Data technologies, needs to be a proactive learner. 2. Design and execute software developing and reporting Ensure the environment is ready for the execution process designing, test plans, developing test cases/scenarios/usage cases and executing these cases Development of technical specifications and plans and resolution of complex technical design issues Participate and conduct design activities with the development team relating to testing of the automation processes for both functional and non-functional requirements Implement, track, and report key metrics to assure full coverage of functional and non-functional requirements through automation Eliminates errors by owning the testing and validations of codes Track problems, resolutions, and bug fixes throughout the project and create a comprehensive database of defects and successful mitigation techniques Provide resolutions to problems by taking the initiative to use all available resources for research Design and implement automated testing tools when possible, and update tools as needed to ensure efficiency and accuracy Develop and automate processes for software validation by setting up and designing test cases/scenarios/usage cases, and executing these cases Develop programs that run efficiently and adhere to WIPRO standards by using similar logic from existing applications, discussing best practices with team members, referencing text books and training manuals, documenting the code and by using accepted design patterns 3. Ensuring smooth flow of communication with customer & internal stakeholders Work with Agile delivery teams to understand product vision and product backlogs; develop robust, scalable, and high quality test automation tests for functional, regression and performance testing Assist in creating acceptance criteria for user stories and generate a test automation backlog Collaborate with Development team to create/improve continuous deployment practices by developing strategies, formalizing processes and providing tools Work closely with business Subject Matter Experts to understand requirements for automation, then designs, builds and deploys the application using automations tools Ensure long term maintainability of the system by documenting projects according to WIPRO guidelines Ensure quality of communication by being clear and effective with test personnel, users, developers, and clients to facilitate quick resolution of problems and accurate documentation of successes Provide assistance to testers and supports personnel as needed to determine system problems Ability to perform backend/database programming for key projects. Stay up-to-date on industry standards and incorporate them appropriately. Design and implement automated testing tools when possible, and update tools as needed to ensure efficiency and accuracya Mandatory Skills: : Ansible Tower Experience: 3-5 Years

Research, design, develop, and modify computer vision and machine learning algorithms and models, leveraging experience with technologies such as Caffe, Torch, or TensorFlow - Shape product strategy for highly contextualized applied ML/AI solutions by engaging with customers, solution teams, discovery workshops and prototyping initiatives - Help build a high-impact ML/AI team by supporting recruitment, training and development of team members - Serve as evangelist by engaging in the broader ML/AI community through research, speaking/teaching, formal collaborations and/or other channels Knowledge & Abilities: - Designing integrations of and tuning machine learning & computer vision algorithms - Research and prototype techniques and algorithms for object detection and recognition - Convolutional neural networks (CNN) for performing image classification and object detection - Familiarity with Embedded Vision Processing systems - Open source tools & platforms - Statistical Modeling, Data Extraction, Analysis, - Construct, train, evaluate and tune neural networks Mandatory Skills: : One or more of the following: Java, C++, Python Deep Learning frameworks such as Caffe OR Torch OR TensorFlow, and image/video vision library like OpenCV, Clarafai, Google Cloud Vision etc Supervised & Unsupervised LearningDeveloped feature learning, text mining, and prediction models (e.g., deep learning, collaborative filtering, SVM, and random forest) on big data computation platform (Hadoop, Spark, HIVE, and Tableau) *One or more of the following: Tableau, Hadoop, Spark, HBase, Kafka Experience: - 2-5 years of work or educational experience in Machine Learning or Artificial Intelligence - Creation and application of Machine Learning algorithms to a variety of real-world problems with large datasets - Building scalable machine learning systems and data-driven products working with cross functional teams - Working w/ cloud services like AWS, Microsoft, IBM, and Google Cloud- Working w/ one or more of the following: Natural Language Processing, text understanding, classification, pattern recognition, recommendation systems, targeting systems, ranking systems or similar Nice to Have: - Contribution to research communities and/or efforts, including publishing papers at conferences such as NIPS, ICML, ACL, CVPR, etc Education: BA/BS (advanced degree preferable) in Computer Science, Engineering or related technical field or equivalent practical experience Wipro is an Equal Employment Opportunity employer and makes all employment and employment-related decisions without regard to a person's race, sex, national origin, ancestry, disability, sexual orientation, or any other status protected by applicable law Product and Services Sales Manager Mandatory Skills: : Generative AI Experience: 3-5 Years

Project description We need a Senior Python and Pyspark Developer to work for a leading investment bank client. Responsibilities Develop software applications based on business requirements Maintain software applications and make enhancements according to project specifications Participate in requirement analysis, design, development, testing, and implementation activities Propose new techniques and technologies for software development. Perform unit testing and user acceptance testing to evaluate application functionality Ensure to complete the assigned development tasks within the deadlines Work in compliance with coding standards and best practices Provide assistance to Junior Developers when needed. Perform code reviews and recommend improvements. Review business requirements and recommend changes to develop reliable applications. Develop coding documentation and other technical specifications for assigned projects. Act as primary contact for development queries and concerns. Analyze and resolve development issues accurately. Skills Must have 8+ years of experience in data intensive Pyspark development. Experience as a core Python developer. Experience developing Classes, OOPS, exception handling, parallel processing . Strong knowledge of DB connectivity, data loading , transformation, calculation. Extensive experience in Pandas/Numpy dataframes, slicing, data wrangling, aggregations. Lambda Functions, Decorators. Vector operations on Pandas dataframes /series. Application of applymap, apply, map functions. Concurrency and error handling data pipeline batch of size [1-10 gb]. Ability to understand business requirements and translate them into technical requirements. Ability to design architecture of data pipeline for concurrent data processing. Familiar with creating/designing RESTful services and APIs. Familiar with application unit tests. Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services. Debugging application. Nice to have Knowledge of web backend technology Django, Python, PostgreSQL. Apache Airflow Atlassian Jira Understanding of Financial Markets Asset Classes (FX, FI, Equities, Rates, Commodities & Credit), various trade types (OTC, exchange traded, Spot, Forward, Swap, Options) and related systems is a plus Surveillance domain knowledge, regulations (MAR, MIFID, CAT, Dodd Frank) and related Systems knowledge is certainly a plus

Project description We are looking for an experienced Data Engineer to contribute to the design, development, and maintenance of our database systems. This role will work closely with our software development and IT teams to ensure the effective implementation and management of database solutions that align with client's business objectives. Responsibilities The successful candidate would be responsible for managing technology in projects and providing technical guidance/solutions for work completion (1.) To be responsible for providing technical guidance/solutions (2.) To ensure process compliance in the assigned module and participate in technical discussions/reviews (3.) To prepare and submit status reports for minimizing exposure and risks on the project or closure of escalations (4.) Being self-organized, focused on develop on time and quality software Skills Must have At least 7 years of experience in development in Data specific projects. Must have working knowledge of streaming data Kafka Framework (kSQL/Mirror Maker etc) Strong programming skills in at least one of these programming language Groovy/Java Good knowledge of Data Structure, ETL Design, and storage. Must have worked in streaming data environments and pipelines Experience working in near real-time/Streaming Data pipeline development using Apache Spark/Streamsets/ Apache NIFI or similar frameworks Nice to have N/A

Project description We are looking for a confident, creative and curious team player to join as a Business Analyst in Bangalore, as part of the team working with one of the largest retail Companies in UK. They will support multiple projects for our Client in Agile environment. Responsibilities Role & Responsibilities Working as an extended team of Product Managers, actively participate in delivering the outcomes set out for the product area. Own source system discovery and data analysis to validate for accuracy and completeness of the source system data. Collaboration with other technology teams to understand the tech initiatives of the domain area and understand the impact to the domain data. Gathering information on the systems by talking to system experts and relevant product managers Gathering information on the systems by talking to system experts and relevant product managers and documenting them. Building domain knowledge which helps in understanding the requirements raised by the business team Documenting descriptive metadata for the new and existing data of assigned domain area. Help Product managers in maintaining the backlog and user stories Data validation of newly ingested or transformed post unit testing to ensure it meets business requirements ( both in the dev and production environment). Supporting business teams during the UAT phase and post-production with any business queries or data analysis. Support the Engineering team in production landscape design based on the understanding of the data. Take the lead on documenting all aspects of the data products built including data management Gathering information on the systems by talking to system experts and relevant product managers and documenting them. Building domain knowledge which helps in understanding the requirements raised by the business team SQL Experience with performing data lineage analysis SkillsMust have 8+ relevant strong Business Analyst Experience Business analysis worked on Big data Hadoop applications and proficient in writing SQL queries Nice to have Agile Methodology