Skill required: Delivery - Order to Cash (OTC) Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 years What would you do? Data & AIAn end-to-end process that addresses all aspects of collecting cash from initial order receipt and credit authorization to collections and revenue assurance activities. What are we looking for? OTC working experience Demonstrated project skills and transformation in OTC area Data interpretation & Analysis Six Sigma/Lean certified basic understanding of AI/Gen AI Detail orientation Ability to handle disputes Ability to manage multiple stakeholders 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 Qualifications Any Graduation

Skill required: Data Management - Structured Query Language (SQL) Designation: Data Eng, Mgmt & Governance Analyst Qualifications: BE,BTech Years of Experience: 3 - 5 Years What would you do? Data & AIThe role may require for you to work on SQL (Structured Query Language) which is a Domain-specific language used in programming and designed for querying and modifying data and managing databases. What are we looking for? Structured Query Language (SQL) Google Cloud Platform (GCP) Google BigQuery ETL Adaptable and flexible Problem-solving skills Strong analytical skills Prioritization of workload Commitment to quality Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day-to-day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualifications BE,BTech

Project Role : Integration Engineer Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements. Must have skills : Microsoft 365 Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Integration Engineer, you will provide consultative Business and System Integration services to help clients implement effective solutions. You will understand and translate customer needs into business and technology solutions, drive discussions and consult on transformation, the customer journey, functional/application designs, and ensure technology and business solutions represent business requirements. Your typical day will involve providing consultative services, understanding customer needs, driving discussions, and ensuring the implementation of effective solutions. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work-related problems. Collaborate with clients to understand their business and technology needs. Translate customer requirements into functional/application designs. Consult on transformation and the customer journey. Ensure technology and business solutions align with business requirements. Provide expertise in Microsoft 365 integration and implementation. Stay updated with the latest industry trends and best practices. Assist in troubleshooting and resolving integration issues. Collaborate with cross-functional teams to deliver successful integration projects. Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft 365. Good To Have Skills:Experience with Microsoft PowerShell, Microsoft 365 Security & Compliance. Strong understanding of business and system integration principles. Experience in translating customer needs into functional/application designs. Knowledge of Microsoft 365 integration and implementation best practices. Familiarity with troubleshooting and resolving integration issues. Ability to collaborate effectively with cross-functional teams. Excellent communication and presentation skills. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft 365. This position is based in Gurugram. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Integration Engineer Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements. Must have skills : Microsoft 365 Good to have skills : Microsoft PowerShell Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Integration Engineer, you will provide consultative Business and System Integration services to help clients implement effective solutions. You will understand and translate customer needs into business and technology solutions, drive discussions, and consult on transformation, the customer journey, functional/application designs, and ensure technology and business solutions represent business requirements. 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 implement integration solutions for clients. Collaborate with cross-functional teams to ensure successful project delivery. Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft 365. Good To Have Skills:Experience with Microsoft PowerShell. Strong understanding of cloud-based integration technologies. Experience in designing and implementing scalable integration solutions. Knowledge of API integration and data mapping techniques. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft 365. This position is based at our Noida office. A 15 years full time education is required. Qualifications 15 years full time education

Skill required: Delivery - Order to Cash (OTC) Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Data & AIAn end-to-end process that addresses all aspects of collecting cash from initial order receipt and credit authorization to collections and revenue assurance activities. What are we looking for? OTC Multi tower – PTP/RTR/OTC working experience, Demonstrated project skills and transformation area Data Interpretation Analytics, Six Sigma/Lean certified Basic understanding of AI/Gen AI Detail orientation Ability to handle disputes Adaptable and flexible Commitment to quality Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems May create new solutions, leveraging and, where needed, adapting existing methods and procedures The person would require understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor May interact with peers and/or management levels at a client and/or within Accenture Guidance would be provided when determining methods and procedures on new assignments Decisions made by you will often impact the team in which they reside Individual would manage small teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualifications Any Graduation

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : Fulltime 15 years qualification Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Google BigQuery. Your typical day will involve working with the development team, analyzing business requirements, and developing solutions to meet those requirements. Roles & Responsibilities: Design, build, and configure applications to meet business process and application requirements using Google BigQuery. Collaborate with cross-functional teams to analyze business requirements and develop solutions to meet those requirements. Develop and maintain technical documentation related to application development. Ensure that all development activities are completed on time, within budget, and to the required quality standards. Professional & Technical Skills: Proficiency in Google BigQuery. Experience in designing, building, and configuring applications to meet business process and application requirements. Strong understanding of software engineering principles and best practices. Experience with Agile development methodologies. Experience with version control systems such as Git. Experience with cloud computing platforms such as Google Cloud Platform. Additional Information: The candidate should have a minimum of 5 years of experience in Google BigQuery. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions. This position is based at our Mumbai office. Qualifications Fulltime 15 years qualification

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years or more of full time education Summary:As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Google BigQuery. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing scalable solutions to meet the needs of our clients. Roles & Responsibilities:- Design, build, and configure applications to meet business process and application requirements using Google BigQuery.- Collaborate with cross-functional teams to analyze business requirements and develop scalable solutions to meet the needs of our clients.- Develop and maintain technical documentation, including design documents, test plans, and user manuals.- Ensure the quality of deliverables by conducting thorough testing and debugging of applications. Professional & Technical Skills:- Must To Have Skills:Proficiency in Google BigQuery.- Good To Have Skills:Experience with other cloud-based data warehousing solutions such as Amazon Redshift or Snowflake.- Strong understanding of SQL and database design principles.- Experience with ETL tools and processes.- Experience with programming languages such as Python or Java. Additional Information:- The candidate should have a minimum of 5 years of experience in Google BigQuery.- The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions.- This position is based at our Bengaluru office. Qualifications 15 years or more of full time education

Skill required: Tech for Operations - Technological Innovation Designation: Program & Project Mgmt Senior Manager Qualifications: Any Graduation Years of Experience: 16 to 25 years 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 Automation In Technology Innovation, you will be working on the scientific field of innovation studies which serves to explain the nature and rate of technological change. You will have to understand new products, processes and significant technological changes of products and processes. What are we looking for? In this role you are required to identify and assess complex problems for area(s) of responsibility The individual should create solutions in situations in which analysis requires in-depth knowledge of organizational objectives Requires involvement in setting strategic direction to establish near-term goals for area(s) of responsibility Interaction is with senior management levels at a client and/or within Accenture, involving negotiating or influencing on significant matters Should have latitude in decision-making and determination of objectives and approaches to critical assignments Their decisions have a lasting impact on area of responsibility with the potential to impact areas outside of own responsibility Individual manages large 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 In this role you are required to identify and assess complex problems for area(s) of responsibility The individual should create solutions in situations in which analysis requires in-depth knowledge of organizational objectives Requires involvement in setting strategic direction to establish near-term goals for area(s) of responsibility Interaction is with senior management levels at a client and/or within Accenture, involving negotiating or influencing on significant matters Should have latitude in decision-making and determination of objectives and approaches to critical assignments Their decisions have a lasting impact on area of responsibility with the potential to impact areas outside of own responsibility Individual manages large 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 Roles and Responsibilities: In this role you are required to identify and assess complex problems for area(s) of responsibility The individual should create solutions in situations in which analysis requires in-depth knowledge of organizational objectives Requires involvement in setting strategic direction to establish near-term goals for area(s) of responsibility Interaction is with senior management levels at a client and/or within Accenture, involving negotiating or influencing on significant matters Should have latitude in decision-making and determination of objectives and approaches to critical assignments Their decisions have a lasting impact on area of responsibility with the potential to impact areas outside of own responsibility Individual manages large 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

Job Title - S&C GN - Data Science Manager Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. As a manager , you will play a crucial role in stakeholder engagement, client communication, and business development . You will be responsible for translating complex AI/ML insights into actionable business strategies and presenting them to senior leadership and clients. Your role will involve collaborating with cross-functional teams, understanding client pain points, and driving data-driven solutions . Additionally, you will lead client presentations, proposal development, and business growth initiatives , ensuring seamless execution of AI/ML projects while identifying new opportunities for innovation and expansion. Strong interpersonal and negotiation skills will be key to driving successful partnerships and long-term business impact . About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 6+ years of relevant experience, OR Master’s degree with 8+ years of experience, OR Bachelor’s degree with 11+ years of experience

Job Title - S&C GN - Data Science Manager Location:Bengaluru, Gurugram, Mumbai, Kolkata, Pune, Chennai, Hyderabad Must have skills:Machine Learning, Deep Learning, Gen AI, NLP, Python, R, AI, SQL Good to have skills: Experience in Graph Neural Networks (GNNs) for complex relational data modelling. Expertise in LLM Optimization, including fine-tuning, prompt engineering, and efficient deployment of Large Language Models. A track record of scientific publications or intellectual property generation demonstrating expertise in AI and data science. We are an innovative Data Science team specializing in the Contact Center domain, dedicated to transforming customer interactions through data-driven intelligence. As part of the Marketing Analytics team, we focus on optimizing contact center operations by leveraging machine learning, natural language processing (NLP), and advanced analytics. Our work involves analyzing customer conversations, predicting user behavior, and enhancing self-service capabilities to reduce call transfers and improve satisfaction. We build conversational AI models, real-time recommendation systems, and predictive analytics solutions that drive meaningful business impact. By integrating AI-driven insights with marketing strategies, we enable proactive customer engagement, personalized experiences, and operational efficiencies across various touchpoints. If youre passionate about applying data science to solve real-world customer experience challenges, this is the team for you! Professional & Technical Skills: As part of our Data Science team, you will play a key role in leveraging Generative AI and Machine Learning to enhance customer experiences and optimize contact center operations. Your responsibilities will include: Developing and fine-tuning Generative AI models to improve customer interactions, automate responses, and enhance self-service capabilities. Building and deploying ML models for various use cases, including intent classification, sentiment analysis, and predictive analytics . Customer segmentation and behavioral analysis to identify patterns, personalize recommendations, and drive targeted engagement strategies. Optimizing conversational AI workflows by improving intent recognition, response generation, and real-time decision-making . Analyzing large-scale customer interaction data to extract actionable insights and refine business strategies. Collaborating with cross-functional teams including engineering, product, and marketing to integrate AI-driven solutions into existing platforms. This role offers the opportunity to work on cutting-edge AI and data science techniques , driving real-world impact in the contact center space. As a manager , you will play a crucial role in stakeholder engagement, client communication, and business development . You will be responsible for translating complex AI/ML insights into actionable business strategies and presenting them to senior leadership and clients. Your role will involve collaborating with cross-functional teams, understanding client pain points, and driving data-driven solutions . Additionally, you will lead client presentations, proposal development, and business growth initiatives , ensuring seamless execution of AI/ML projects while identifying new opportunities for innovation and expansion. Strong interpersonal and negotiation skills will be key to driving successful partnerships and long-term business impact . About Our Company | Accenture Qualifications Experience & Educational Qualification: PhD with 6+ years of relevant experience, OR Master’s degree with 8+ years of experience, OR Bachelor’s degree with 11+ years of experience

Job Title - Data Scientist and Analytics Level 9:Consultant Ind & Func AI Decision Science Consultant S&C Management Level:09 - Consultant Location Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Technical (Python, SQL, ML and AI), Functional (Data Scientist and B2B Analytics preferably in Telco and S&P industries) Good to have skills GEN AI, Agentic AI, cloud (AWS/Azure, GCP) Job Summary : About Global Network Data & AI:- Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition About Comms & Media practice: The Accenture Center for Data and Insights (CDI) team helps businesses integrate data and AI into their operations to drive innovation and business growth by designing and implementing data strategies, generating actionable insights from data, and enabling clients to make informed decisions. In CDI, we leverage AI (predictive + generative), analytics, and automation to build innovative and practical solutions, tools and capabilities. The team is also working on building and socializing a Marketplace to democratize data and AI solutions within Accenture and for clients. Globally, CDI practice works across industry to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & Responsibilities: Experienced in Analytics in B2B domain. Responsible to help the clients with designing & delivering AI/ML solutions. He/she should be strong in Telco and S&P domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Data manipulation and aggregation using Python. Propensity modeling using various ML algorithms. Text mining using NLP/AI techniques Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Professional & Technical Skills: Overall 8 years of experience in Data Science B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software Python (must), R, PySpark, SQL (must), BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves Qualifications Experience: B.Tech Engineering from Tier 1 school or Msc in Statistics/Data Science from a Tier 1/Tier 2 Educational Qualification: B.tech or MSC in Statistics and Data Science

Project Role : Data Insights & Visualization Practition Project Role Description : Create interactive interfaces that enable humans to understand, interpret, and communicate complex data and insights. Wrangle, analyze, and prepare data to ensure delivery of relevant, consistent, timely, and actionable insights. Leverage modern business intelligence, storytelling, and web-based visualization tools to create interactive dashboards, reports and emerging VIS/BI artifacts. Use and customize (Gen)AI and AI-powered VIS/BI capabilities to enable a dialog with data. Must have skills : Data Analytics Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for an Analytics & Insights Lead to help lead and design innovative approaches to view and interact with data for active analysis and reporting. This team member should bring a wide experience and/or understanding of the art of the possible with analyzing and visualizing data in market relevant technologies (Qlik, Power BI, BigQuery, PowerApps, Alteryx, etc.) and remain flexible to deploy designs quickly (iterating as required). There is also an opportunity to mentor and develop analytics team members from a people developer perspective. Roles & Responsibilities: Drive accountability by ensuring high quality operational monitoring, analysis and continuous improvement of enforcement and KPls. Work with cross-functional stakeholders to establish shared goals and bring role/scope clarity in a fast-paced and ambiguous environment. Use contemporary tools and technology that will provide data analytics and insights to increase revenue, grow profitability, and improve the user experience. Should have Influencing and Advisory skills. Engage with multiple teams and contribute on key decisions. Expected to provide solutions to problems that apply across multiple teams. Develop innovative data visualization strategies. Collaborate with stakeholders to understand data requirements. Implement data visualization best practices. Professional & Technical Skills: Pro-active with decision making, analytical thinking and problem solving skills Strong interpersonal, collaboration, and communication skills Be comfortable and effective in a distributed team and remote working environment Must To Have Skills:Proficiency in Data Analytics. Experience with data visualization tools such as Tableau, Qlik, Power BI, Alteryx, BigQuery, PowerApps Additional Information: The candidate should have a minimum of 15 years of experience in Data Analytics. Minimum 2 years of relevant design, development and deployment experience with Qlik and Power BI (includes dashboards, executive summaries, front end visualizations etc.) Minimum 2 years of Data Technology experience which may include:architecture/database development experience and experience with Business Intelligence tools (such as:GCP BigQuery, PowerApps, Alteryx), methodologies, and/or responsibilities This position is based at our Bengaluru office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : Google BigQuery Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models. You will play a crucial role in shaping the data platform components. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Collaborate with Integration Architects and Data Architects to design and implement data platform components. Ensure seamless integration between various systems and data models. Develop and maintain data platform blueprints. Implement data governance policies and procedures. Conduct performance tuning and optimization of data platform components. Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform. Good To Have Skills:Experience with Google BigQuery. Strong understanding of data platform architecture and design principles. Hands-on experience in implementing data pipelines and ETL processes. Proficient in SQL and other query languages. Knowledge of cloud platforms such as AWS or Azure. Additional Information: The candidate should have a minimum of 3 years of experience in Databricks Unified Data Analytics Platform. This position is based at our Pune office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : Python (Programming Language), Google BigQuery Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed and implemented efficiently and effectively, while meeting the needs of the organization. Your typical day will involve collaborating with the team, making team decisions, engaging with multiple teams, and providing solutions to problems for your immediate team and across multiple teams. You will also contribute to key decisions and provide expertise in application development. Roles & Responsibilities: Expected to be an SME Collaborate and manage the team to perform Responsible for team decisions Engage with multiple teams and contribute on key decisions Provide solutions to problems for their immediate team and across multiple teams Design, build, and configure applications to meet business process and application requirements Ensure that the applications are developed and implemented efficiently and effectively Contribute expertise in application development Professional & Technical Skills: Must To Have Skills:Proficiency in PySpark Good To Have Skills:Experience with Apache Spark, Python (Programming Language), Google BigQuery Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in PySpark This position is based at our Chennai office A 15 years full time education is required Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : Oracle Procedural Language Extensions to SQL (PLSQL), Google BigQuery Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and implementation. 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.- Lead the application development process.- Implement best practices for application design and development.- Conduct code reviews and ensure code quality standards are met.- Mentor junior team members to enhance their skills. Professional & Technical Skills:- Must To Have Skills:Proficiency in Apache Spark.- Good To Have Skills:Experience with Oracle Procedural Language Extensions to SQL (PLSQL), Google BigQuery.- Strong understanding of distributed computing and parallel processing.- Experience in developing scalable and high-performance applications using Apache Spark.- Knowledge of data processing frameworks and tools in the big data ecosystem. Additional Information:- The candidate should have a minimum of 7.5 years of experience in Apache Spark.- This position is based at our Chennai office.- A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Apache Spark Good to have skills : PySpark, Google BigQuery Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed and implemented according to the specified requirements and standards. Your typical day will involve collaborating with the team to understand the business needs, designing and developing applications using Apache Spark, and configuring the applications to meet the required functionality. You will also be involved in testing and debugging the applications to ensure their quality and performance. 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. Design and build applications based on business process and application requirements. Configure applications to meet the required functionality. Collaborate with the team to understand the business needs and translate them into technical requirements. Test and debug applications to ensure their quality and performance. Provide technical guidance and support to the team. Stay updated with the latest technologies and trends in application development. Identify and resolve any issues or challenges in the application development process. Ensure that the applications are developed and implemented according to the specified requirements and standards. Professional & Technical Skills: Must To Have Skills:Proficiency in Apache Spark, PySpark, Google BigQuery. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 12 years of experience in Apache Spark. This position is based at our Gurugram office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : Cloud Platform Engineer Project Role Description : Designs, builds, tests, and deploys cloud application solutions that integrate cloud and non-cloud infrastructure. Can deploy infrastructure and platform environments, creates a proof of architecture to test architecture viability, security and performance. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute Services Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education We are seeking a highly motivated and experienced DevOps Infra Engineer to join our team and manage Kubernetes (K8) infrastructure. You will be responsible for implementing and maintaining Infrastructure as Code (IaC) using Terraform or relevant code and ensuring the smooth deployment and management of our Kubernetes Stack in On Prem environments. You will also be instrumental in troubleshooting issues, optimizing infrastructure, and implementing / Managing monitoring tools for observability. Primary Skills: Kubernetes, Kubegres, Kubekafka, Grafana, Redis, PrometheusSecondary Skills: Keycloak,MetalLB,Ingress,ElasticSearch,Superset,OpenEBS,Istio,Secrets,Helm,NussKnacker,Valero,DruidResponsibilities:Containerization:Working experience with Kubernetes and Docker for containerized application deployments in On Prem ( GKE/K8s ). Knowledge of Helm charts and their application in Kubernetes clusters. Collaboration and Communication:Work effectively in a collaborative team environment with developers, operations, and other stakeholders. Communicate technical concepts clearly and concisely. CI/CD:Design and implement CI/CD pipelines using Jenkins, including pipelines, stages, and jobs. Utilize Jenkins Pipeline and Groovy scripting for advanced pipeline automation. Integrate Terraform with Jenkins for IaC management and infrastructure provisioning. Infrastructure as Code (IaC):Develop and manage infrastructure using Terraform, including writing Terraform tfvars and modules code. Set up IaC pipelines using Terraform, Jenkins, and cloud environments like Azure and GCP. Troubleshoot issues in Terraform code and ensure smooth infrastructure deployments. Cloud Platforms:Possess a deep understanding of both Google Cloud and Azure cloud platforms. Experience with managing and automating cloud resources in these environments. Monitoring & Logging:Configure and manage monitoring tools like Splunk, Grafana, and ELK for application and infrastructure health insights. GitOps:Implement GitOps practices for application and infrastructure configuration management. Scripting and Automation:Proficient in scripting languages like Python and Bash for automating tasks. Utilize Ansible or Chef for configuration management. Configuration Management:Experience with configuration management tools like Ansible and Chef. Qualifications:4-9 years of experience as a Kubernetes & DevOps Engineer or similar role with 12+ years of total experience in Cloud and Infra managed services. Strong understanding of CI/CD principles and practices. Proven experience with Jenkins or CI/CD, including pipelines, scripting, and plugins. Expertise in Terraform and IaC principles. Experience with Kubernetes management in On Prem platform is preferred. Exposure with monitoring and logging tools like Splunk, Grafana, or ELK. Experience with GitOps practices. Proficiency in scripting languages like Python and Bash. Experience with configuration management tools like Ansible or Chef. Hands-on experience with Kubernetes and Docker. Knowledge of Helm charts and their application in Kubernetes clusters. Must:Flexible to cover a part of US working Hours ( 24/7 business requirement ).Excellent communication and collaboration skills. Fluent in English.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Google Kubernetes Engine Good to have skills : Kubernetes, Google Cloud Compute Services Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education About The Role :Job Summary :We are seeking a motivated and talented GCP & Kubernetes Engineer to join our growing cloud infrastructure team. This role will be a key contributor in building and maintaining our Kubernetes platform, working closely with architects to design, deploy, and manage cloud-native applications on Google Kubernetes Engine (GKE).Responsibilities: Extensive hands-on experience with Google Cloud Platform (GCP) and Kubernetes implementations. Demonstrated expertise in operating and managing container orchestration engines such as Dockers or Kubernetes. Knowledge or experience on various Kubernetes tools like Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus Proven track record in supporting and deploying various public cloud services. Experience in building or managing self-service platforms to boost developer productivity. Proficiency in using Infrastructure as Code (IaC) tools like Terraform. Skilled in diagnosing and resolving complex issues in automation and cloud environments. Advanced experience in architecting and managing highly available and high-performance multi-zonal or multi-regional systems. Strong understanding of infrastructure CI/CD pipelines and associated tools. Collaborate with internal teams and stakeholders to understand user requirements and implement technical solutions. Experience working in GKE, Edge/GDCE environments. Assist development teams in building and deploying microservices-based applications in public cloud environments.Technical Skillset: Minimum of 3 years of hands-on experience in migrating or deploying GCP cloud-based solutions. At least 3 years of experience in architecting, implementing, and supporting GCP infrastructure and topologies. Over 3 years of experience with GCP IaC, particularly with Terraform, including writing and maintaining Terraform configurations and modules. Experience in deploying container-based systems such as Docker or Kubernetes on both private and public clouds (GCP GKE). Familiarity with CI/CD tools (e.g., GitHub) and processes.Certifications: GCP ACE certification is mandatory. CKA certification is highly desirable. HashiCorp Terraform certification is a significant plus.

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute Services Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education About The Role :We are looking for an experienced Kubernetes Architect to join our growing cloud infrastructure team. This role will be responsible for architecting, designing, and implementing scalable, secure, and highly available cloud-native applications on Kubernetes. You will leverage Kubernetes along with associated technologies like Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus to build resilient systems that meet both business and technical needs. Google Kubernetes Engine (GKE) will be considered as an additional skill. As a Kubernetes Architect, you will play a key role in defining best practices, optimizing the infrastructure, and providing architectural guidance to cross-functional teams Key Responsibilities: Architect Kubernetes Solutions:Design and implement scalable, secure, and high-performance Kubernetes clusters. Cloud-Native Application Design:Collaborate with development teams to design cloud-native applications, ensuring that microservices are properly architected and optimized for Kubernetes environments. Kafka Management:Architect and manage Apache Kafka clusters using Kubekafka, ensuring reliable, real-time data streaming and event-driven architectures. Database Architecture:Use Kubegres to manage high-availability PostgreSQL clusters in Kubernetes, ensuring data consistency, scaling, and automated failover. Helm Chart Development:Create, maintain, and optimize Helm charts for consistent deployment and management of applications across Kubernetes environments. Ingress & Networking:Architect and configure Ingress controllers (e.g., NGINX, Traefik) for secure and efficient external access to Kubernetes services, including SSL termination, load balancing, and routing. Caching and Performance Optimization:Leverage Redis to design efficient caching and session management solutions, optimizing application performance. Monitoring & Observability:Lead the implementation of Prometheus for metrics collection and Grafana for building real-time monitoring dashboards to visualize the health and performance of infrastructure and applications. CI/CD Integration:Design and implement continuous integration and continuous deployment (CI/CD) pipelines to streamline the deployment of Kubernetes-based applications. Security & Compliance:Ensure Kubernetes clusters follow security best practices, including RBAC, network policies, and the proper configuration of Secrets Management. Automation & Scripting:Develop automation frameworks using tools like Terraform, Helm, and Ansible to ensure repeatable and scalable deployments. Capacity Planning and Cost Optimization:Optimize resource usage within Kubernetes clusters to achieve both performance and cost-efficiency, utilizing cloud tools and services. Leadership & Mentorship:Provide technical leadership to development, operations, and DevOps teams, offering mentorship, architectural guidance, and sharing best practices. Documentation & Reporting:Produce comprehensive architecture diagrams, design documents, and operational playbooks to ensure knowledge transfer across teams and maintain system reliability Required Skills & Experience: 10+ years of experience in cloud infrastructure engineering, with at least 5+ years of hands-on experience with Kubernetes. Strong expertise in Kubernetes for managing containerized applications in the cloud. Experience in deploying & managing container-based systems on both private and public clouds (Google Kubernetes Engine (GKE)). Proven experience with Kubekafka for managing Apache Kafka clusters in Kubernetes environments. Expertise in managing PostgreSQL clusters with Kubegres and implementing high-availability database solutions. In-depth knowledge of Helm for managing Kubernetes applications, including the development of custom Helm charts. Experience with Ingress controllers (e.g., NGINX, Traefik) for managing external traffic in Kubernetes. Hands-on experience with Redis for caching, session management, and as a message broker in Kubernetes environments. Advanced knowledge of Prometheus for monitoring and Grafana for visualization and alerting in cloud-native environments. Experience with CI/CD pipelines for automated deployment and integration using tools like Jenkins, GitLab CI, or CircleCI. Solid understanding of networking, including load balancing, DNS, SSL/TLS, and ingress/egress configurations in Kubernetes. Familiarity with Terraform and Ansible for infrastructure automation. Deep understanding of security best practices in Kubernetes, such as RBAC, Network Policies, and Secrets Management. Knowledge of DevSecOps practices to ensure secure application delivery.Certifications:oGoogle Cloud Platform (GCP) certification is mandatory.oKubernetes Certification (CKA, CKAD, or CKAD) is highly preferred.oHashiCorp Terraform certification is a significant plus.

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 : GCP Dataflow Good to have skills : Google BigQuery Minimum 3 year(s) of experience is required Educational Qualification : Any Graduate Summary :As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using GCP Dataflow. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing using GCP Dataflow. Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. Collaborate with cross-functional teams to identify and resolve data-related issues. Develop and maintain documentation related to data solutions and processes. Stay updated with the latest advancements in data engineering technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: Must To Have Skills:Experience in GCP Dataflow. Good To Have Skills:Experience in Google BigQuery. Strong understanding of ETL processes and data migration. Experience in data modeling and database design. Experience in data warehousing and data lake concepts. Experience in programming languages such as Python, Java, or Scala. Additional Information: The candidate should have a minimum of 3 years of experience in GCP Dataflow. The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions. This position is based at our Indore office. Qualification Any Graduate

Project Role : Integration Engineer Project Role Description : Provide consultative Business and System Integration services to help clients implement effective solutions. Understand and translate customer needs into business and technology solutions. Drive discussions and consult on transformation, the customer journey, functional/application designs and ensure technology and business solutions represent business requirements. Must have skills : Microsoft 365 Good to have skills : Microsoft PowerShell, Microsoft 365 Security & Compliance Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Integration Engineer, you will provide consultative Business and System Integration services to help clients implement effective solutions. You will understand and translate customer needs into business and technology solutions, drive discussions, consult on transformation, the customer journey, functional/application designs, and ensure technology and business solutions represent business requirements. 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 implement integration solutions for clients. Collaborate with cross-functional teams to ensure successful project delivery. Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft 365. Good To Have Skills:Experience with Microsoft PowerShell, Microsoft 365 Security & Compliance. Strong understanding of cloud-based integration technologies. Experience in designing and implementing scalable integration solutions. Knowledge of API integration and data mapping techniques. Additional Information: The candidate should have a minimum of 3 years of experience in Microsoft 365. This position is based at our Bengaluru office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Application Support Engineer Project Role Description : Act as software detectives, provide a dynamic service identifying and solving issues within multiple components of critical business systems. Must have skills : Kubernetes Good to have skills : Google Kubernetes Engine, Google Cloud Compute Services Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Job Summary :We are looking for an experienced Kubernetes Specialist to join our cloud infrastructure team. You will work closely with architects and engineers to design, implement, and optimize cloud-native applications on Google Kubernetes Engine (GKE). This role will focus on providing expertise in Kubernetes, container orchestration, and cloud infrastructure management, ensuring the seamless operation of scalable, secure, and high-performance applications on GKE and other cloud environments.________________________________________Responsibilities: Kubernetes Implementation:Design, implement, and manage Kubernetes clusters for containerized applications, ensuring high availability and scalability. Cloud-Native Application Design:Work with teams to deploy, scale, and maintain cloud-native applications on Google Kubernetes Engine (GKE). Kubernetes Tools Expertise:Utilize Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus to build and maintain resilient systems. Infrastructure Automation:Develop and implement automation frameworks using Terraform and other tools to streamline Kubernetes deployments and cloud infrastructure management. CI/CD Implementation:Design and maintain CI/CD pipelines to automate deployment and testing for Kubernetes-based applications. Kubernetes Networking & Security:Ensure secure and efficient Kubernetes cluster networking, including Ingress controllers (e.g., NGINX, Traefik), RBAC, and Secrets Management. Monitoring & Observability:Lead the integration of monitoring solutions using Prometheus for metrics and Grafana for real-time dashboard visualization. Performance Optimization:Optimize resource utilization within GKE clusters, ensuring both performance and cost-efficiency. Collaboration:Collaborate with internal development, operations, and security teams to meet user requirements and implement Kubernetes solutions. Troubleshooting & Issue Resolution:Address complex issues related to containerized applications, Kubernetes clusters, and cloud infrastructure, troubleshooting and resolving them efficiently.________________________________________Technical Skillset: GCP & Kubernetes Experience:Minimum of 3+ years of hands-on experience in Google Cloud Platform (GCP) and Kubernetes implementations, including GKE. Container Management:Proficiency with container orchestration engines such as Kubernetes and Docker. Kubernetes Tools Knowledge:Experience with Kubekafka, Kubegres, Helm, Ingress, Redis, Grafana, and Prometheus for managing Kubernetes-based applications. Infrastructure as Code (IaC):Strong experience with Terraform for automating infrastructure provisioning and management. CI/CD Pipelines:Hands-on experience in building and managing CI/CD pipelines for Kubernetes applications using tools like Jenkins, GitLab, or CircleCI. Security & Networking:Knowledge of Kubernetes networking (DNS, SSL/TLS), security best practices (RBAC, network policies, and Secrets Management), and the use of Ingress controllers (e.g., NGINX) Cloud & DevOps Tools:Familiarity with cloud services and DevOps tools such as GitHub, Jenkins, and Ansible. Monitoring Expertise:In-depth experience with Prometheus and Grafana for operational monitoring, alerting, and creating actionable insights. Certifications: Google Cloud Platform (GCP) Associate Cloud Engineer (ACE) certification is required. Certified Kubernetes Administrator (CKA) is highly preferred.

Skill required: Procure to Pay - Invoice Processing Designation: Procure to Pay Operations Analyst Qualifications: BCom/MCom Years of Experience: 3 to 5 years What would you do? You will be aligned with our Finance Operations vertical and will be helping us in determining financial outcomes by collecting operational data/reports, whilst conducting analysis and reconciling transactions.boosting vendor compliance, cutting savings erosion, improving discount capture using preferred suppliers, and in confirming pricing and terms prior to payment. Responsible for accounting of goods and services, through requisitioning, purchasing and receiving. Also look after order sequence of procurement and financial process end to end. The Accounts Payable Processing team focuses on designing, implementing, managing and supporting accounts payable activities by applying the relevant processes, policies and applications. The team is responsible for timely and accurate billing and processing of invoices, managing purchase and non-purchase orders and two-way and three-way matching of invoices.Refers to the systematic handling and management of incoming invoices within a business or organization. It involves tasks such as verifying the accuracy of the invoice, matching it with purchase orders and delivery receipts, and initiating the payment process. Automated systems and software are often employed to streamline and expedite the invoice processing workflow, improving efficiency and reducing the likelihood of errors. What are we looking for? Good Verbal and written Communication SkillsWell versed with Accounts payable cycle , sub processes & terminologies Good Understanding of PO vs Non PO InvoicesGood understanding of withholding taxes treatments in invoice processingGood understanding of Month end/ quarter end/ year end closing along with acccruals and reportingGood understanding of accounting Journal entriesUnderstanding of employee expense claim processingUnderstanding of expenses accruals Vendors ReconciliationsReporting and audit assignmentsWorking knowledge of MS OfficeProblem Solving attitudeTeam working and co-ordinationReady to work in night shiftsKnowledge of Invoice processing toolsKnowledge of current technologies in PTP domainAnalytical skillUnderstanding of RPAs Roles and Responsibilities: In this role you are required to do analysis and solving of lower-complexity problems Your day to day interaction is with peers within Accenture before updating supervisors In this role you may have limited exposure with clients and/or Accenture management You will be given moderate level instruction on daily work tasks and detailed instructions on new assignments The decisions you make impact your own work and may impact the work of others You will be an individual contributor as a part of a team, with a focused scope of work Please note that this role may require you to work in rotational shifts Qualifications BCom,MCom

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : PySpark Good to have skills : Apache Spark, Python (Programming Language), Google BigQuery Minimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for ensuring that the applications are developed and implemented efficiently and effectively, while meeting the needs of the organization. Your typical day will involve collaborating with the team, making team decisions, and engaging with multiple teams to contribute to key decisions. You will also be expected to provide solutions to problems that apply across multiple teams, showcasing your expertise and problem-solving skills. 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 Ensure efficient and effective development and implementation of applications Design and build applications to meet business process and application requirements Contribute to the decision-making process and provide valuable insights Professional & Technical Skills: Must To Have Skills:Proficiency in PySpark Good To Have Skills:Experience with Apache Spark, Python (Programming Language), Google BigQuery Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 12 years of experience in PySpark This position is based at our Bengaluru office A 15 years full time education is required Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Google BigQuery Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Project Role :Application Developer Project Role Description :Design, build and configure applications to meet business process and application requirements. Must have Skills :Google BigQuery, SSI: NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job Requirements :Key Responsibilities :1:Assists with the data platform blueprint and design, encompassing the relevant data platform components.2:Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models.3:The Data Engineer performs tasks such as data modeling, data pipeline build, data lake build, scalable programming frameworks Technical Experience :1:Expert in Python - NO FLEX. Strong hands-on- knowledge in SQL - NO FLEX, Python programming using Pandas, NumPy, deep understanding of various data structure dictionary, array, list, tree etc, experiences in pytest, code coverage skills2:Exp with building solutions using cloud native services:bucket storage, Big Query, cloud function, pub sub, composer, and Kubernetes NO FLEX3:Pro with tools to automate AZDO CI CD pipelines like Control-M , GitHub, JIRA, confluence , CI CD Pipeline Professional Attributes :1:Good communication 2:Good Leadership skills and team handling skills 3:Analytical skills, presentation skills, ability to work under pressure 4:Should be able to work in shifts whenever required Educational Qualification:Additional Info : Qualification 15 years full time education