233 Data Flow Jobs - Page 4

Overview We are seeking an experienced and strategic Business Analyst / Functional Lead to drive solution definition, business alignment, and successful delivery of Real-Time Decisioning initiatives and play a critical role in translating complex business needs into actionable functional requirements, guiding cross-functional teams, and shaping customer-centric decisioning strategies across digital channels. Responsibilities Gather, analyze, and document business and functional requirements for decisioning use cases (e.g., next-best-action, personalized offers, customer journeys). Act as the primary liaison between business stakeholders, product owners, and technical teams for real-time decisioning solutions. Define and maintain decision logic, business rules, and outcome scenarios in alignment with marketing and CX goals. Facilitate all Agile ceremonies including sprint planning, daily stand-ups, reviews, and retrospectives. Guide the team in Agile practices, track sprint progress, and manage delivery risks. Remove blockers and coordinate across business, design, tech, QA, and operations teams. Maintain ADO board, backlog grooming, sprint metrics, and continuous improvement initiatives. Collaborate with solution architects to design customer-centric, scalable real-time decisioning frameworks. Lead discovery and requirement workshops with marketing, data, and technology stakeholders. Own the functional design documents, user stories, and solution blueprints; ensure clarity, accuracy, and traceability. Work with engineering teams to define test scenarios and validate decisioning outputs. Support rollout, training, and adoption of decisioning platforms across business units. Continuously monitor and optimize decisioning logic and KPIs in partnership with analytics teams. Qualifications Candidate should have total 9 14 years of total IT experience and at least 3+ years of relevant work experience as an RTD Functional Lead and business analysis, functional consulting, or similar roles in MarTech, AdTech, or CX platforms. Bachelor's or Master's degree in computer science, information technology, or a related field. Strong understanding of real-time decisioning platforms such as Salesforce Marketing Cloud Personalization / Interaction Studio CleverTap Proven ability to map customer journeys and define decision strategies based on personas, behavior, and context. Skilled in requirement gathering, functional documentation, user story writing, and backlog management. Excellent understanding of data flows, business rules, segmentation, and targeting. Ability to translate business needs into logical rules, decision tables, and KPIs. Strong communication and stakeholder management skills across business and technical audiences.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. As GCP Data Engineer at Kyndryl, you will be responsible for designing and developing data pipelines, participating in architectural discussions, and implementing data solutions in a cloud environment using GCP data services. You will collaborate with global architects and business teams to design and deploy innovative solutions, supporting data analytics, automation, and transformation needs. Responsibilities: Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Participate in architectural discussions, conduct system analysis, and suggest optimal solutions that are scalable, future-proof, and aligned with business requirements. Collaborate with stakeholders to gather requirements and create high-level and detailed technical designs. Design data models suitable for both transactional and big data environments, supporting Machine Learning workflows. Build and optimize ETL/ELT infrastructure using a variety of data sources and GCP services. Develop and maintain Python / PySpark for data processing and integrate with GCP services for seamless data operations. Develop and optimize SQL queries for data analysis and reporting. Monitor and troubleshoot data pipeline issues to ensure timely resolution. Implement data governance and security best practices within GCP. Perform data quality checks and validation to ensure accuracy and consistency. Support DevOps automation efforts to ensure smooth integration and deployment of data pipelines. Provide design expertise in Master Data Management (MDM), Data Quality, and Metadata Management. Provide technical support and guidance to junior data engineers and other team members. Participate in code reviews and contribute to continuous improvement of data engineering practices. Implement best practices for cost management and resource utilization within GCP. If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Technical and Professional Experience: Bachelor’s or master’s degree in computer science, Engineering, or a related field with over 8 years of experience in data engineering More than 3 years of experience with the GCP data ecosystem Hands-on experience and Strong proficiency in GCP components such as Dataflow, Dataproc, BigQuery, Cloud Functions, Composer, Data Fusion. Excellent command of SQL with the ability to write complex queries and perform advanced data transformation. Strong programming skills in PySpark and/or Python, specifically for building cloud-native data pipelines. Familiarity with GCP tools like Looker, Airflow DAGs, Data Studio, App Maker, etc. Hands-on experience implementing enterprise-wide cloud data lake and data warehouse solutions on GCP. Knowledge of data governance, security, and compliance best practices. Experience with private and public cloud architectures, pros/cons, and migration considerations. Excellent problem-solving, analytical, and critical thinking skills. Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail. Communication Skills: Must be able to communicate with both technical and nontechnical. Able to derive technical requirements with the stakeholders. Ability to work independently and in agile teams. Preferred Technical And Professional Experience GCP Data Engineer Certification is highly preferred. Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization. Experience working as a Data Engineer and/or in cloud modernization. Knowledge of Databricks, Snowflake, for data analytics. Experience in NoSQL databases Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). Familiarity with BI dashboards and Google Data Studio is a plus. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

The Operations Executives is responsible for overseeing and managing key aspects of the role, including strategic planning, team coordination, and ensuring the achievement of objectives. Duties include analyzing workflows, optimizing processes, collaborating with cross-functional teams, and ensuring compliance with industry standards. Additionally, the role involves reporting on performance, identifying areas for improvement, and implementing innovative solutions to enhance efficiency and effectiveness.

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Join the innovative team at Kyndryl as a Client Technical Solutioner and unlock your potential to shape the future of technology solutions. As a key player in our organization, you will embark on an exciting journey where you get to work closely with customers, understand their unique challenges, and provide them with cutting-edge technical solutions and services. Picture yourself as a trusted advisor – collaborating directly with customers to unravel their business needs, pain points, and technical requirements. Your expertise and deep understanding of our solutions will empower you to craft tailored solutions that address their specific challenges and drive their success. Your role as a Client Technical Solutioner is pivotal in developing domain-specific solutions for our cutting-edge services and offerings. You will be at the forefront of crafting tailored domain solutions and cost cases for both simple and complex, long-term opportunities, demonstrating we meet our customers' requirements while helping them overcome their business challenges. At Kyndryl, we believe in the power of collaboration and your expertise will be essential in supporting our Technical Solutioning and Solutioning Managers during customer technology and business discussions, even at the highest levels of Business/IT Director/LOB. You will have the chance to demonstrate the value of our solutions and products, effectively communicating their business and technical benefits to decision makers and customers. In this role, you will thrive as you create innovative technical solutions that align with industry trends and exceed customer expectations. Your ability to collaborate seamlessly with internal stakeholders will enable you to gather the necessary documents and technical insights to deliver compelling bid submissions. Not only will you define winning cost models for deals, but you will also lead these deals to profitability, ensuring the ultimate success of both our customers and Kyndryl. You will play an essential role in contract negotiations, up to the point of signature, and facilitate a smooth engagement hand-over process. As the primary source of engagement management and solution design within your technical domain, you will compile, refine, and take ownership of final solution documents. Your technical expertise will shine through as you present these documents in a professional and concise manner, showcasing your mastery of the subject matter. You’ll have the opportunity to contribute to the growth and success of Kyndryl by standardizing our go-to-market pitches across various industries. By creating differentiated propositions that align with market requirements, you will position Kyndryl as a leader in the industry, opening new avenues of success for our customers and our organization. Join us as a Client Technical Solutioner at Kyndryl and unleash your potential to shape the future of technical solutions while enjoying a stimulating and rewarding career journey filled with innovation, collaboration, and growth. Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here. Who You Are You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others. Required Skills and Experience 10 – 15 Years (Specialist Seller / Consultant) is a must with 3 – 4 years of relevant experience of Gen AI / Agentic AI Proven past experience in Analytics Should have real world experience in Design & Implementation of scalable, fault-tolerant & secure Architectures on any one of the major hyper-scalers (AWS / Azure / GCP ) for Analytics Excellent communication skills to engage with clients and influence decisions. High level of competence in preparing Architectural documentation and presentations. Must be organized, self-sufficient and can manage multiple initiatives simultaneously. Must have the ability to coordinate with other teams and vendors, independently Deep knowledge of Services offerings and technical solutions in a practice Demonstrated experience translating distinctive technical knowledge into actionable customer insights and solutions Prior consultative selling experience Externally recognized as an expert in the technology and/or solutioning areas, to include technical certifications supporting subdomain focus area(s) Responsible for Prospecting & Qualifying leads, do the relevant Product / Market Research independently, in response to Customer’s requirement / Pain Point. Advising and Shaping Client Requirements to produce high-level designs and technical solutions in response to opportunities and requirements from Customers and Partners. Work with both internal / external stakeholders to identify business requirements, develop solutions to meet those requirements / build the Opportunity. Understand & analyze the application requirements in Client RFPs Design software applications based on the requirements within specified architectural guidelines & constraints. Lead, Design and implement Proof of Concepts & Pilots to demonstrate the solution to Clients /prospects. Being You Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way. What You Can Expect With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed. Get Referred! If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.

Software Required Skills: Deep experience with Murex (version 3.1 or higher) in a production environment focusing on reports and Datamart modules Strong SQL proficiency for data querying, issue analysis, and troubleshooting Shell scripting (Bash/sh) skills supporting issue investigation and automation Use of incident management tools such as ServiceNow or JIRA for tracking and reporting issues Familiarity with report development and data analysis in financial contextsPreferred Skills: Experience with other reporting tools or frameworks, such as Tableau, PowerBI, or QlikView Knowledge of data warehousing concepts and architecture Basic scripting knowledge in other languages (Python, Perl) for automationOverall Responsibilities Lead and oversee the support activities for Murex Datamart and reporting modules, ensuring operational stability and accuracy Provide L2/L3 technical support for report-related incidents, resolve complex issues, and perform root cause analysis Monitor report generation, data extraction, and reconciliation processes, ensuring timely delivery Collaborate with business stakeholders to address reporting queries, anomalies, and data discrepancies Support and coordinate system upgrades, patches, and configuration changes affecting reporting modules Maintain comprehensive documentation of system configurations, incident resolutions, and process workflows Lead problem resolution initiatives, including performance tuning and automation opportunities Manage support teams during shifts (24x5/24x7), ensuring effective incident escalation and stakeholder communication Drive continuous improvement initiatives to enhance report accuracy, data quality, and operational efficiencyStrategic objectives: Maximize report availability, accuracy, and reliability Reduce incident resolution times and recurring issues Strengthen reporting processes through automation and data quality enhancementsPerformance outcomes: Minimal unplanned downtime of reporting systems High stakeholder satisfaction with timely, accurate reporting Clear documentation and proactive communication with stakeholdersTechnical Skills (By Category)Reporting & Data Analysis (Essential): Extensive experience supporting Murex Datamart, reports, and related workflows SQL proficiency for data extraction, troubleshooting, and validation Understanding of report structures for P&L, MV, Accounting, Risk, etc.Scripting & Automation (Essential): Shell scripting (Bash/sh) for automation, issue diagnosis, and process automation Experience in automating routine report checks and data validationsDatabases & Data Management (Essential): Relational database management, data querying, and reconciliation Knowledge of data warehousing concepts and architectureSupport Tools & Incident Management (Essential): Hands-on experience with ServiceNow, JIRA, or similar platformsAdvanced & Cloud (Preferred): Familiarity with cloud data hosting, deployment, or cloud-based reporting solutions Experience with other programming languages (Python, Perl) for automationExperience Over 10+ years supporting Murex production environments with a focus on Datamart and reporting modules Proven expertise in resolving complex report issues, data discrepancies, and interface problems Demonstrated leadership with experience managing or supporting L2/L3 teams Support support in high-pressure environments, including escalations Industry experience within financial services, especially trading, risk, or accounting, is preferredAlternative experience pathways: Extensive scripting, data support, and operational expertise supporting financial reports may qualify candidates with fewer years but equivalent depth of knowledgeDay-to-Day Activities Monitor system dashboards, reports, and logs for anomalies or failures Troubleshoot report data issues, interface failures, and system errors Lead incident investigations, performed root cause analysis, and document resolutions Collaborate with business units to clarify reporting needs and resolve discrepancies Support deployment, configuration changes, and upgrades affecting Report and Datamart modules Automate repetitive tasks, batch jobs, and data validation workflows Create and maintain documentation, runbooks, and best practices Conduct shift handovers, incident reviews, and process improvement sessions Proactively identify improvement opportunities in reporting reliability and performanceQualifications Bachelors degree in Computer Science, Finance, Data Management, or related discipline Strong expertise in SQL, shell scripting, and report troubleshooting Deep understanding of financial reporting, P&L, MV, Risk, and accounting data flows Support experience in high-availability, high-pressure settings Willingness to work shifts, including nights, weekends, or holidays as neededProfessional Competencies Strong analytical and problem-solving skills for resolving complex issues Excellent communication skills for engaging with technical teams, business stakeholders, and vendors Leadership qualities to support and mentor support teams Ability to work independently and prioritize effectively under pressure Adaptability to evolving systems and technological environments Focus on continuous improvement and operational excellence

Role & responsibilities Bachelors degree or four or more years of work experience. Four or more years of work experience. Experience with Data Warehouse concepts and Data Management life cycle. Experience in any DBMS Experience in Shell scripting, Spark, Scala. Experience in GCP/Big Query, composer, Airflow. Experience in real time streaming Experience in DevOps

A Data Platform Engineer specialises in the design, build, and maintenance of cloud-based data infrastructure and platforms for data-intensive applications and services. They develop Infrastructure as Code and manage the foundational systems and tools for efficient data storage, processing, and management. This role involves architecting robust and scalable cloud data infrastructure, including selecting and implementing suitable storage solutions, data processing frameworks, and data orchestration tools. Additionally, a Data Platform Engineer ensures the continuous evolution of the data platform to meet changing data needs and leverage technological advancements, while maintaining high levels of data security, availability, and performance. They are also tasked with creating and managing processes and tools that enhance operational efficiency, including optimising data flow and ensuring seamless data integration, all of which are essential for enabling developers to build, deploy, and operate data-centric applications efficiently. - Grade Specific An expert on the principles and practices associated with data platform engineering, particularly within cloud environments, and demonstrates proficiency in specific technical areas related to cloud-based data infrastructure, automation, and scalability.Key responsibilities encompass:Team Leadership and ManagementSupervising a team of platform engineers, with a focus on team dynamics and the efficient delivery of cloud platform solutions.Technical Guidance and Decision-MakingProviding technical leadership and making pivotal decisions concerning platform architecture, tools, and processes. Balancing hands-on involvement with strategic oversight.Mentorship and Skill DevelopmentGuiding team members through mentorship, enhancing their technical proficiencies, and nurturing a culture of continual learning and innovation in platform engineering practices.In-Depth Technical ProficiencyPossessing a comprehensive understanding of platform engineering principles and practices, and demonstrating expertise in crucial technical areas such as cloud services, automation, and system architecture.Community ContributionMaking significant contributions to the development of the platform engineering community, staying informed about emerging trends, and applying this knowledge to drive enhancements in capability. Skills (competencies)

Skilled Multiple GCP services - GCS, BigQuery, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer etc. Must have Python and SQL work experience & Proactive, collaborative and ability to respond to critical situation Ability to analyse data for functional business requirements & front face customer Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 5 to 7 years of relevant experience working as technical analyst with Big Query on GCP platform. Skilled in multiple GCP services - GCS, Cloud SQL, Dataflow, Pub/Sub, Cloud Run, Workflow, Composer, Error reporting, Log explorer You love collaborative environments that use agile methodologies to encourage creative design thinking and find innovative ways to develop with cutting edge technologies Ambitious individual who can work under their own direction towards agreed targets/goals and with creative approach to work Preferred technical and professional experience Create up to 3 bullets maxitive individual with an ability to manage change and proven time management Proven interpersonal skills while contributing to team effort by accomplishing related results as needed Up-to-date technical knowledge by attending educational workshops, reviewing publications (encouraging then to focus on required skills)

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google Cloud Data Services Good to have skills : GCP Dataflow, Data EngineeringMinimum 2 year(s) of experience is required Educational Qualification : standard 15 years Summary :As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your role involves creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial part in the data management process. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Develop and maintain data solutions for data generation, collection, and processing.- Create data pipelines to streamline data flow.- Ensure data quality and integrity throughout the data lifecycle.- Implement ETL processes for data migration and deployment.- Collaborate with cross-functional teams to optimize data processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google Cloud Data Services.- Good To Have Skills: Experience with Data Engineering and GCP Dataflow.- Strong understanding of cloud-based data services.- Experience in designing and implementing data pipelines.- Knowledge of ETL processes and data migration techniques. Additional Information:- The candidate should have a minimum of 2 years of experience in Google Cloud Data Services.- This position is based at our Bengaluru office.- A standard 15 years of education is required. Qualification standard 15 years

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Modeling Techniques and Methodologies Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Your day will involve working on data architecture and collaborating with cross-functional teams to optimize data processes. 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.- Expected to provide solutions to problems that apply across multiple teams.- Lead data modeling initiatives to design and implement data structures.- Optimize data storage and retrieval processes.- Develop and maintain data pipelines for efficient data flow. Professional & Technical Skills: - Must To Have Skills: Proficiency in Data Modeling Techniques and Methodologies.- Strong understanding of database management systems.- Experience with data warehousing and ETL processes.- Knowledge of data governance and compliance.- Hands-on experience with data visualization tools. Additional Information:- The candidate should have a minimum of 12 years of experience in Data Modeling Techniques and Methodologies.- This position is based at our Bengaluru office.PFB Education details- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business and Integration Practitioner Project Role Description : Assists in documenting the integration strategy endpoints and data flows. Is familiar with the entire project life-cycle, including requirements analysis, coding, testing, deployment, and operations to ensure successful integration. Under the guidance of the Architect, ensure the integration strategy meets business goals. Must have skills : Microsoft Dynamics 365 Supply Chain Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business and Integration Practitioner, you will assist in documenting the integration strategy endpoints and data flows. Your typical day will involve collaborating with various teams to ensure that the integration strategy aligns with business objectives. You will engage in the entire project life-cycle, from requirements analysis to deployment, ensuring that all aspects of the integration are executed smoothly and effectively. Your role will also require you to communicate with stakeholders to gather insights and feedback, which will help refine the integration processes and enhance overall project success. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate workshops and meetings to gather requirements and feedback from stakeholders.- Monitor and evaluate the integration processes to identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Dynamics 365 Supply Chain Management.- Strong understanding of integration strategies and data flow documentation.- Experience with project life-cycle management, including requirements analysis and deployment.- Ability to collaborate effectively with cross-functional teams.- Familiarity with testing methodologies and operational processes. Additional Information:- The candidate should have minimum 5 years of experience in Microsoft Dynamics 365 Supply Chain Management.- This position is based at our Chennai office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - Sales Excellence - COE - Data Engineering Specialist Management Level: 9-Team Lead/Consultant Location: Mumbai, MDC2C Must-have skills: Sales Good to have skills: Data Science, SQL, Automation, Machine Learning Job Summary : Apply deep statistical tools and techniques to find relationships between variables Roles & Responsibilities: - Apply deep statistical tools and techniques to find relationships between variables. - Develop intellectual property for analytical methodologies and optimization techniques. - Identify data requirements and develop analytic solutions to solve business issues. Job Title - Analytics & Modelling Specialist Management Level :9-Specialist Location:Bangalore/ Gurgaon/Hyderabad/Mumbai Must have skills:Python, Data Analysis, Data Visualization, SQL Good to have skills:Machine Learning Job Summary : The Center of Excellence (COE) makes sure that the sales and pricing methods and offerings of Sales Excellence are effective. - The COE supports salespeople through its business partners and Analytics and Sales Operations teams. The Data Engineer helps manage data sources and environments, utilizing large data sets and maintaining their integrity to create models and apps that deliver insights to the organization. Roles & Responsibilities: Build and manage data models that bring together data from different sources. Help consolidate and cleanse data for use by the modeling and development teams. Structure data for use in analytics applications. Lead a team of Data Engineers effectively. Professional & Technical Skills: A bachelors degree or equivalent Total experience Range:5-8 years in the relevant field A minimum of 3 years of GCP experience with exposure to machine learning/data science Experience in configuration the machine learning workflow in GCP. A minimum of 5 years Advanced SQL knowledge and experience working with relational databases A minimum of 3 years Familiarity and hands on experience in different SQL objects like stored procedures, functions, views etc., A minimum of 3 years Building of data flow components and processing systems to extract, transform, load and integrate data from various sources. A minimum of 3 years Hands on experience in advanced excel topics such as cube functions, VBA Automation, Power Pivot etc. A minimum of 3 years Hands on experience in Python Additional Information: Understanding of sales processes and systems. Masters degree in a technical field. Experience with quality assurance processes. Experience in project management. You May Also Need: Ability to work flexible hours according to business needs. Must have good internet connectivity and a distraction-free environment for working at home, in accordance with local guidelines. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience:8 to 10 Years Educational Qualification: B.Com

Skill required: Tech for Operations - Product Development Management Designation: AI/ML Computational Science Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationManage the end-to-end product development process from conception to design and production start-up, including the product structure design, engineering requirement process, multi-function resources collaboration and the engineering and supply chain integration. What are we looking for Results orientationProblem-solving skillsAbility to perform under pressureStrong analytical skillsWritten and verbal communication Roles and Responsibilities: In this role you are required to identify and assess complex problems for area of responsibility The person would create solutions in situations in which analysis requires an in-depth evaluation of variable factors Requires adherence to strategic direction set by senior management when establishing near-term goals Interaction of the individual is with senior management at a client and/or within Accenture, involving matters that may require acceptance of an alternate approach Some latitude in decision-making in involved you will act independently to determine methods and procedures on new assignments Decisions individual at this role makes have a major day to day impact on area of responsibility The person manages large - medium sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Template Job Title - GN - SONG - Service - CX - Value Architect Senior Manager Management Level :06 - Senior Manager Location:Delhi, Gurgaon, Mumbai, Bangalore, Chennai, Pune, Hyderabad Must have skills:Value Realization Job Summary As part of the team, you will provide transformation services driven by key offerings like Living Marketing, Connected Commerce and Advanced Customer Engagement. These services help our clients become living businesses by optimizing their marketing, sales and customer service strategy, thereby driving cost reduction, revenue enhancement, customer satisfaction and impacting front end business metrics in a positive manner. Roles & ResponsibilitiesTranslate strategic objectives into high-impact use cases in the specific area of expertise. Understand clients business priorities and focus areas to identify the right business scenarios and impacted value levers (KPIs) to include in the business case. Ideate and execute on compelling value creation workshops. Conduct detailed qualitative and quantitative research to lay the foundation of a strong business case. Own every stage of the value creation process, from research and identification to value drafting and dashboarding. Define value architecting requirements and work with Accenture teams to deliver solutions. Advise clients on industry best practices and client examples of value creation and realization Accurately estimate time to complete work. Continually experiment with new tools, technologies and sharpen analytical skills. Ability to research and provide strategic, goal-driven solutions for clients. Lead and Collaborate with both offshore & onshore cross functional and technical teams, including client-side managers, business heads, and other stakeholders across the organization. Provide useful contributions to team meetings and conversations, actively participating in client meetings and workshops- Ability to create hypothesis based on understanding of clients issues. Professional & Technical Skills: Apply best of breed Excel practices- Deep-dive with solid knowledge of formulas & macros to bring in speed & efficiency. Maximize experience in developing interactive models:Use relevant dashboard creation platforms (Power BI, Tableau, etc.) to design and apply interactive dashboards. Innovate with Creativity:Demonstrate an ability to work in a fast-paced environment with the ability to abstract value into compelling business story. Participate in pre-sales activities including response to RFPs, creating proofs of concept, creating effective presentations, demonstrating solutions during client orals, effort and cost estimation process, etc. Participate in practice-specific initiatives including creating points of view, creating reusable assets on contact center space, performing analysis on industry research and market trends and bringing in innovative solutions, etc. Additional Information: 12+ years of experience in strategy/value office & consulting roles with P&L exposure Deep understanding of Customer Service function for two industries Good understanding of sales & marketing as a function Solid experience in developing quantitative models. Conducting qualitative & quantitative research Anchoring client/senior stakeholder conversations Creating engaging storyboards using the best data visualization tools such as Power BI, Tableau, etc. Passionate about story telling and excellent visual skills (using power point, figma tools) About Our Company | AccentureQualification Experience:7 to 14 years Educational Qualification:MBA from a tier 1 institute

Skill required: Tech for Operations - Business Analysis Designation: SW Business Analysis Team Analyst Qualifications: Any Graduation Years of Experience: 8 to 10 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do You will be part of the Technology for Operations team that acts as a trusted advisor and partner to Accenture Operations. The team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. We work closely with the sales, offering and delivery teams to identify and build innovative solutions.The Tech For Operations (TFO) team provides innovative and secure technologies to help clients build an intelligent operating model, driving exceptional results. Works closely with the sales, offering and delivery teams to identify and build innovative solutions. Major sub deals include AHO(Application Hosting Operations), ISMT (Infrastructure Management), Intelligent AutomationIn this role as a Business Requirement Analysis, you will be required to identify and analyze specific and well-documented requirements for business needs related to processes, organizations systems, applications, etc including the ability to understand and map the requirements to the given business problems. The role involves defining the scope of the project, the timescales, and the resources needed to complete it. What are we looking for Problem-solving skillsResults orientationStrong analytical skillsWritten and verbal communicationNumerical ability Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Please note that this role may require you to work in rotational shifts Qualification Any Graduation

Project Role : Business and Integration Practitioner Project Role Description : Assists in documenting the integration strategy endpoints and data flows. Is familiar with the entire project life-cycle, including requirements analysis, coding, testing, deployment, and operations to ensure successful integration. Under the guidance of the Architect, ensure the integration strategy meets business goals. Must have skills : ALIP Product Configuration Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Business and Integration Practitioner, you will play a crucial role in assisting with the documentation of integration strategies, endpoints, and data flows. Your typical day will involve collaborating with various teams to ensure that the integration processes align with business objectives. You will engage in the entire project life-cycle, from requirements analysis to deployment, ensuring that all aspects of integration are effectively managed and executed. Your contributions will be vital in facilitating seamless integration and supporting the overall success of the project. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate communication between stakeholders to ensure alignment on integration strategies.- Monitor and evaluate integration processes to identify areas for improvement. Professional & Technical Skills: - Must To Have Skills: Proficiency in ALIP Product Configuration.- Strong understanding of integration strategies and data flow documentation.- Experience with project life-cycle management, including requirements analysis and deployment.- Ability to collaborate effectively with cross-functional teams.- Familiarity with testing methodologies and operational processes. Additional Information:- The candidate should have minimum 5 years of experience in ALIP Product Configuration.- This position is based in Mumbai.- A 15 years full time education is required. Qualification 15 years full time education

Project Role : Application Designer Project Role Description : Assist in defining requirements and designing applications to meet business process and application requirements. Must have skills : SAP PP Production Planning & Control Process Industries Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Designer, you will assist in defining requirements and designing applications to meet business process and application requirements. Your typical day will involve collaborating with cross-functional teams to gather insights, analyzing user needs, and translating them into functional specifications. You will engage in discussions to refine application designs and ensure alignment with business objectives, while also participating in testing and validation processes to guarantee that the applications meet the defined requirements. Your role will be pivotal in enhancing the overall user experience and ensuring that the applications are robust and efficient. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate workshops to gather requirements and feedback from stakeholders.- Develop and maintain comprehensive documentation for application designs and processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP PP Production Planning & Control Process Industries.- Strong understanding of business process modeling and application design principles.- Experience with integration of SAP modules and data flow management.- Ability to analyze and optimize production planning processes.- Familiarity with project management methodologies and tools. Additional Information:- The candidate should have minimum 3 years of experience in SAP PP Production Planning & Control Process Industries.- This position is based at our Mumbai office.- A 15 years full time education is required. Qualification 15 years full time education

Job Description Data Engineer/Lead Required Minimum Qualifications Bachelors degree in computer science, CIS, or related field 5-10 years of IT experience in software engineering or related field Experience on project(s) involving the implementation of software development life cycles (SDLC) Primary Skills : PySpark, SQL, GCP EcoSystem(Biq Query, Cloud Composer, DataProc) Design and develop data-ingestion frameworks, real-time processing solutions, and data processing and transformation frameworks leveraging open source tools and data processing frameworks. Hands-on on technologies such as Kafka, Apache Spark (SQL, Scala, Java), Python, Hadoop Platform, Hive, airflow Experience in GCP Cloud Composer, Big Query, DataProc Offer system support as part of a support rotation with other team members. Operationalize open-source data-analytic tools for enterprise use. Ensure data governance policies are followed by implementing or validating data lineage, quality checks, and data classification. Understand and follow the company development lifecycle to develop, deploy and deliver.

Provide Boomi production support, manage EAI environments, resolve data issues, handle configuration and upgrades, and offer technical guidance with strong customer-facing and communication skills.

Data Engineer Job Description : Jash Data Sciences: Letting Data Speak! Do you love solving real-world data problems with the latest and best techniques? And having fun while solving them in a team! Then come and join our high-energy team of passionate data people. Jash Data Sciences is the right place for you. We are a cutting-edge Data Sciences and Data Engineering startup based in Pune, India. We believe in continuous learning and evolving together. And we let the data speak! What will you be doing? You will be discovering trends in the data sets and developing algorithms to transform raw data for further analytics Create Data Pipelines to bring in data from various sources, with different formats, transform it, and finally load it to the target database. Implement ETL/ ELT processes in the cloud using tools like AirFlow, Glue, Stitch, Cloud Data Fusion, and DataFlow. Design and implement Data Lake, Data Warehouse, and Data Marts in AWS, GCP, or Azure using Redshift, BigQuery, PostgreSQL, etc. Creating efficient SQL queries and understanding query execution plans for tuning queries on engines like PostgreSQL. Performance tuning of OLAP/ OLTP databases by creating indices, tables, and views. Write Python scripts for the orchestration of data pipelines Have thoughtful discussions with customers to understand their data engineering requirements. Break complex requirements into smaller tasks for execution. What do we need from you? Strong Python coding skills with basic knowledge of algorithms/data structures and their application. Strong understanding of Data Engineering concepts including ETL, ELT, Data Lake, Data Warehousing, and Data Pipelines. Experience designing and implementing Data Lakes, Data Warehouses, and Data Marts that support terabytes of scale data. A track record of implementing Data Pipelines on public cloud environments (AWS/GCP/Azure) is highly desirable A clear understanding of Database concepts like indexing, query performance optimization, views, and various types of schemas. Hands-on SQL programming experience with knowledge of windowing functions, subqueries, and various types of joins. Experience working with Big Data technologies like PySpark/ Hadoop A good team player with the ability to communicate with clarity Show us your git repo/ blog! Qualification 1-2 years of experience working on Data Engineering projects for Data Engineer I 2-5 years of experience working on Data Engineering projects for Data Engineer II 1-5 years of Hands-on Python programming experience Bachelors/Masters' degree in Computer Science is good to have Courses or Certifications in the area of Data Engineering will be given a higher preference. Candidates who have demonstrated a drive for learning and keeping up to date with technology by continuing to do various courses/self-learning will be given high preference.

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Qualcomm XR Research India is rapidly expanding to offer state of the art XR solutions. To scale and strengthen our offering in this domain, we are seeking a systems architect who will drive the next-generation technologies and architecture, shaping the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases. Responsibilities: Your responsibilities will span across technical leadership, system architecture, software architecture, implementation and compute analysis. Here are the key aspects of your role: Drive technical workstreams related to perception, reprojection, split-processing and other XR technologies. Identify and deeply understand the use cases for AR/VR/MR applications. Collaborate with cross-functional teams to translate use case requirements into detailed implementation specifications. Define system and software architecture, considering hardware/software tradeoffs, compute and memory constraints. Optimize compute workload distribution across different subsystems on the SoC for efficient performance and power. Validate and optimize architecture definitions through system-level use case modeling. Prototype new use cases to understand the compute and memory requirements, and influence future software/hardware features and reference device specification. Minimum Qualifications: 9+ years of experience in systems engineering with a bachelors degree in electrical engineering, information systems, computer science, or related field. Hands-on experience in defining systems architecture and software design for multi-core architectures (CPUs, GPUs, DSPs, etc.), including performance analysis on heterogeneous architectures (core, multi-level cache, memory, etc.). Proficiency in documenting call flows and data flows for both software and hardware components. Strong communication skills and ability to work effectively in a team. Preferred Qualifications: 8+ years of experience in systems engineering with masters and/or PhD degree in electrical engineering, information systems, computer science. Proven expertise in AR/VR, computer vision, machine learning, perception, camera technology, graphics pipeline, hardware design, SoC architecture, HW/SW partitioning, and system modeling (power, performance). Proficiency in C++, and Object-Oriented SW design Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Job Area: Information Technology Group, Information Technology Group > IT Data Engineer General Summary: Developer will play an integral role in the PTEIT Machine Learning Data Engineering team. Design, develop and support data pipelines in a hybrid cloud environment to enable advanced analytics. Design, develop and support CI/CD of data pipelines and services. - 5+ years of experience with Python or equivalent programming using OOPS, Data Structures and Algorithms - Develop new services in AWS using server-less and container-based services. - 3+ years of hands-on experience with AWS Suite of services (EC2, IAM, S3, CDK, Glue, Athena, Lambda, RedShift, Snowflake, RDS) - 3+ years of expertise in scheduling data flows using Apache Airflow - 3+ years of strong data modelling (Functional, Logical and Physical) and data architecture experience in Data Lake and/or Data Warehouse - 3+ years of experience with SQL databases - 3+ years of experience with CI/CD and DevOps using Jenkins - 3+ years of experience with Event driven architecture specially on Change Data Capture - 3+ years of Experience in Apache Spark, SQL, Redshift (or) Big Query (or) Snowflake, Databricks - Deep understanding building the efficient data pipelines with data observability, data quality, schema drift, alerting and monitoring. - Good understanding of the Data Catalogs, Data Governance, Compliance, Security, Data sharing - Experience in building the reusable services across the data processing systems. - Should have the ability to work and contribute beyond defined responsibilities - Excellent communication and inter-personal skills with deep problem-solving skills. Minimum Qualifications: 3+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field. OR 5+ years of IT-related work experience without a Bachelors degree. 2+ years of any combination of academic or work experience with programming (e.g., Java, Python). 1+ year of any combination of academic or work experience with SQL or NoSQL Databases. 1+ year of any combination of academic or work experience with Data Structures and algorithms. 5 years of Industry experience and minimum 3 years experience in Data Engineering development with highly reputed organizations- Proficiency in Python and AWS- Excellent problem-solving skills- Deep understanding of data structures and algorithms- Proven experience in building cloud native software preferably with AWS suit of services- Proven experience in design and develop data models using RDBMS (Oracle, MySQL, etc.) Desirable - Exposure or experience in other cloud platforms (Azure and GCP) - Experience working on internals of large-scale distributed systems and databases such as Hadoop, Spark - Working experience on Data Lakehouse platforms (One House, Databricks Lakehouse) - Working experience on Data Lakehouse File Formats (Delta Lake, Iceberg, Hudi) Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

Minimum 7+ years in data engineering with 5+ years of hands-on experience on GCP. Proven track record with tools and services like BigQuery, Cloud Composer (Apache Airflow), Cloud Functions, Pub/Sub, Cloud Storage, Dataflow, and IAM/VPC. Demonstrated expertise in Apache Spark (batch and streaming), PySpark, and building scalable API integrations. Advanced Airflow skills including custom operators, dynamic DAGs, and workflow performance tuning. Certifications Google Cloud Professional Data Engineer certification preferred. Key Skills Mandatory Technical Skills Advanced Python (PySpark, Pandas, pytest) for automation and data pipelines. Strong SQL with experience in window functions, CTEs, partitioning, and optimization. Proficiency in GCP services including BigQuery, Dataflow, Cloud Composer, Cloud Functions, and Cloud Storage. Hands-on with Apache Airflow, including dynamic DAGs, retries, and SLA enforcement. Expertise in API data ingestion, Postman collections, and REST/GraphQL integration workflows. Familiarity with CI/CD workflows using Git, Jenkins, or Bitbucket. Experience with infrastructure security and governance using IAM and VPC.

Req ID: 284544 We are currently seeking a Systems Integration Advisor -Technical Architecture-Cloud Services-AWS to join our team in Bangalore, Karntaka (IN-KA), India (IN). : We are seeking a highly skilled and motivated Mid-Level AI/DS Specialist to join our dynamic team at NTT Data. The ideal candidate will have a strong background in artificial intelligence and data science, with expertise in natural language processing (NLP), generative AI (Gen-AI), and conversational AI. The candidate should be well-versed with the Microsoft AI platform, OpenAI, Databricks, Python, and common data science libraries and tools. Additionally, the candidate should be capable of fine-tuning large language models (LLMs) and familiar with AI/ML engineering and prompt engineering. Key Responsibilities: Develop and implement AI/DS solutions to enhance business processes and customer experiences. Utilize NLP, Gen-AI, and conversational AI techniques to build and optimize AI models. Work with the Microsoft AI platform, OpenAI, and Databricks to develop and deploy AI solutions. Write efficient and scalable code in Python, leveraging common data science libraries and tools. Fine-tune LLM models to meet specific project requirements. Collaborate with cross-functional teams to integrate AI/DS solutions into existing systems. Stay updated with the latest advancements in AI/DS and apply them to ongoing projects. Conduct prompt engineering to improve the performance and accuracy of AI models. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, AI, or a related field. Proven experience in AI/DS, with a focus on NLP, Gen-AI, and conversational AI. Proficiency in the Microsoft AI platform, OpenAI, Databricks, and Python. Strong knowledge of common data science libraries and tools. Experience in fine-tuning LLM models. Familiarity with AI/ML engineering and prompt engineering. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills.

Req ID: 321918 We are currently seeking a ETL and BDX developer to join our team in Bangalore, Karntaka (IN-KA), India (IN). "¢ Develop and maintain Power BI dashboards, reports, and datasets. "¢ Collaborate with stakeholders to gather and analyse business requirements. "¢ Design robust and scalable data models using Power BI and underlying data sources. "¢ Write complex DAX expressions for calculated columns, measures, and KPIs. "¢ Optimize performance of Power BI reports and data models. "¢ Integrate Power BI with other data sources (SQL Server, Excel, Azure, SharePoint, etc.). "¢ Implement row-level security and data access control. "¢ Automate data refresh schedules and troubleshoot refresh failures. "¢ Mentor junior developers and conduct code reviews. "¢ Work closely with data engineering teams to ensure data accuracy and integrity. "¢ Exp working on Power Query and data flows. "¢ Strong in writing SQL queries Total Exp7 "“ 10 Yrs.