518 Data Munging Jobs - Page 11

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Apache Spark Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Apache Spark- 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 Apache Spark- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

So, what’s the role all about? As cloud adoption grows, so does the need to manage its costs effectively. This role is centered around cost optimization in the public cloud—leveraging automation and scripting to identify, design, implement, test, and deploy changes that improve cost efficiency across cloud services. We’re looking for someone with strong development and scripting skills in any of Java/C#/Typescript/Python who can build tools, automate analysis, and streamline cost-control workflows. You will work with data from various sources to uncover cost trends, create actionable insights, and drive tangible improvements in cloud spend. Experience or interest in FinOps (Financial Operations) is a plus. While not required, familiarity with FinOps principles will help you effectively collaborate with engineering and finance teams and contribute to building cost-aware cloud architectures. How will you make an impact? Work as a member of an agile team with a charter for potential cloud cost-savings Design and implement automation solutions—through custom development / scripting and leveraging third-party tools—to monitor, analyze, and optimize AWS resource usage and drive cost optimization efforts. Identify potential cost savings leveraging FinOps practices. Project cost savings, document cost optimization steps, and negotiate prioritization with component teams to implement those cost savings Automate cost optimization practices and processes across pre-production and production AWS environments and evangelize cost-optimization with development teams. Participate in FinOps training to help grow the discipline in the organization. Have you got what it takes? Bachelor's degree in computer science, Business Information Systems or related field or equivalent work experience is required . Experience in one or more of the following software languages: C# .NE T , Java S cript, Type S cript, Java, Python . Strong experience in cloud development on AWS (preferred ) , Azure, or Google Cloud. Proficiency in data analytics tools such as SQL, Python, Excel, Power BI. Ability to translate technical cloud usage into financial insights. Excellent communication and collaboration skills. 8+ years' experience in software development Experience with code versioning (Git, GitLab, TFS, etc.) Experience with system integrations and strong technical problem-solving skills. Working knowledge of agile development methodologies Willingness to learn more about the growing field of FinOps. Prior experience in cloud cost management platforms such as AWS Cost Explorer, Azure Cost Management and other utilities like Tag Editor, Pricing Calculator will be added advantage . What’s in it for you? Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr! Requisition ID: 6333 Reporting into: Technical Manager Role Type: Individual Contributor

We are seeking a dynamic and results-oriented Revenue Manager to drive significant revenue growth and optimize our monetization strategies for Purplles Private label. As a key member of our revenue team, you will be responsible for developing and executing comprehensive revenue-generating initiatives across all customer touchpoints. You will leverage data-driven insights, market trends, and a deep understanding of e-commerce best practices to identify opportunities, implement effective strategies, and exceed revenue targets. This role requires a strategic thinker with strong execution skills, excellent analytical abilities, and the ability to collaborate effectively across various departments. Responsibilities: Develop and Execute Revenue Strategies: Create and implement comprehensive revenue generation strategies aligned with the company's overall business objectives and growth targets. This includes optimizing pricing, promotions, merchandising, and customer acquisition led offerings. Drive Sales Growth: Identify and pursue opportunities to increase sales volume, average order value (AOV), Gross margins and category share. Pricing and Promotion Optimization: Develop and manage pricing strategies, promotional campaigns, and discount structures to maximize revenue and profitability while remaining competitive with 3rd party brands. Merchandising Strategy: Collaborate with the merchandising team to optimize product placement, cross-selling, and upselling strategies to drive higher conversion rates and AOV. Data Analysis and Reporting: Monitor, analyze, and report on key revenue metrics, providing insights and recommendations for continuous improvement. Utilize data to identify trends, opportunities, and areas for optimization. Cross-Functional Collaboration: Work closely with brand, marketing, merchandising, pricing, design and sourcing teams to ensure alignment and effective execution of revenue-generating initiatives. Qualifications: Bachelor's degree in Business Administration, Marketing, Engineering, Economics, or a related field. A Master's degree is a plus. 2 + years of progressive experience in category, brand or revenue management, e-commerce, or a related field, with a proven track record of driving significant revenue growth. Deep understanding of e-commerce business models, online sales processes, and digital marketing strategies. Strong analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. Proficiency in using data analytics tools(MS-Excel is a must) Excellent communication, presentation, and interpersonal skills with the ability to influence and collaborate effectively across different teams. . Familiarity with pricing strategies is a plus

Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Tagetik Planning Budgeting and Forecasting Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will analyze, design, code, and test multiple components of application code across one or more clients. Perform maintenance, enhancements, and/or development work. Show creativity in problem-solving and contribute to the growth of the team. Roles & Responsibilities:Support for dry runs Preparing and opening Tagetik & Integrations for quarterly submissions Load, maintaining FX rates integration Preparation, Validation and Sourcing the FX rates Loading of Ownership register changes Sourcing, preparing and checking of changes to Ownership Register Maintaining data mappings between Tagetik to external systems (inbound / Outbound) Maintaining and reconciling data between source system and Tagetik Consolidation Functional related Application Support for users during the reporting periods Data Checks and controls prior to each release UAT Individual User / Business unit specific reports build - 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 team members to analyze, design, and develop software solutions.- Participate in code reviews and provide constructive feedback.- Troubleshoot and debug software applications to ensure optimal performance.- Research and implement new technologies to enhance software capabilities.- Document software specifications and ensure code quality standards are met. Professional & Technical Skills: Maintenance Activities - Start/Stop Knowledge in Tagetik Excel Add-on Performing General Health checks in Tagetik If required** - Scheduling Jobs & Performing Data export & Import Tagetik Upgrade Skills Performance Tuning Log Analysis- Tagetik Consolidation- Must To Have Skills: Proficiency in Tagetik Planning Budgeting and Forecasting.- 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 Tagetik Planning Budgeting and Forecasting.- This position is based at our Gurugram office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP BTP Datasphere Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for overseeing the entire application development process and ensuring its successful 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 effort to design, build, and configure applications- Act as the primary point of contact for the application development process- Oversee the entire application development process- Ensure successful implementation of applications Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP BTP Datasphere- 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 SAP BTP Datasphere- This position is based in Pune- A 15 years full-time education is required Qualification 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP MM Materials Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 effort to design, build, and configure applications- Act as the primary point of contact for the project- Manage the team and ensure successful project delivery- Collaborate with multiple teams to make key decisions- Provide solutions to problems for the immediate team and across multiple teams Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP MM Materials Management- 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 SAP MM Materials Management- This position is based at our Hyderabad office- A 15 years full-time education is required Qualification 15 years full time education

Overview As a Data Modeler & Functional Data Senior Analyst, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analysing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architecture teams. As a member of the Data Modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like Master Data, Finance, Revenue Management, Supply chain, Manufacturing and Logistics. The primary responsibility of this role is to work with Data Product Owners, Data Management Owners, and Data Engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs Data Design/Modeling documentation of metadata (business definitions of entities and attributes) and construction of database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to existing, or new, applications/reporting. Lead and Support assigned project contractors (both on & offshore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of enhancements or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for proper management ofbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Analyze/profile source data and identify issues that impact accuracy, completeness, consistency, integrity, timeliness and validity. Create Source to Target Mapping documents including identifying and documenting data transformations. Assume accountability and responsibility for assigned product delivery, be flexible and able to work with ambiguity, changing priorities, tight timelines and critical situations/issues. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications BA or BS degree required in Data Science/Management/Engineering, Business Analytics, Information Systems, Software Engineering or related Technology Discipline. 8+ years of overall technology experience that includes at least 4+ years of Data Modeling and Systems Architecture/Integration. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing Enterprise Data Models. 3+ years of Functional experience with SAP Master Data Governance (MDG) including use of T-Codes to create/update records and query tables. Extensive knowledge of all core Master Data tables, Reference Tables, IDoc structures. 3+ years of experience with Customer & Supplier Master Data. Strong SQL skills with ability to understand and write complex queries. Strong understanding of Data Life cycle, Integration and Master Data Management principles. Excellent verbal and written communication and collaboration skills. Strong Excel skills for data analysis and manipulation. Strong analytical and problem-solving skills. Expertise in Data Modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Working knowledge of agile development, including Dev Ops and Data Ops concepts. Experience mapping disparate data sources into a common canonical model. Differentiating Competencies Experience with metadata management, data lineage and data glossaries. Experience with Azure Data Factory, Databricks and Azure Machine learning. Familiarity with business intelligence tools (such as Power BI). CPG industry experience. Experience with Material, Location, Finance, Supply Chain, Logistics, Manufacturing & Revenue Management Data.

Overview As an Analyst, Data Modeler, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analysing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams. As a member of the data Modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper managementbusiness and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levelslow-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications Bachelors degree required in Computer Science, Data Management/Analytics/Science, Information Systems, Software Engineering or related Technology Discipline. 5+ years of overall technology experience that includes at least 2+ years of data modeling and systems architecture. Around 2+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 2+ years of experience developing enterprise data models. Experience in building solutions in the retail or in the supply chain space. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including Dev Ops and Data Ops concepts. Familiarity with business intelligence tools (such as Power BI). Excellent verbal and written communication and collaboration skills.

Project Role AI / ML Engineer Project Role Description Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills Large Language Models Good to have skills NA Minimum 12 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI / ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, and GenAI models. Your role involves creating cloud or on-prem application pipelines with production-ready quality, incorporating deep learning, neural networks, chatbots, and image processing. 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 research and development initiatives in AI and ML technologies.- Implement and optimize machine learning models.- Conduct data analysis and interpretation for business insights. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- 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 Large Language Models.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the 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 : NA 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. Your typical day will involve collaborating with the team to develop and implement solutions that align with the organization's goals and objectives. You will utilize your expertise in Databricks Unified Data Analytics Platform to create efficient and effective applications that enhance business processes and drive innovation. 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. Collaborate with stakeholders to gather requirements and understand business needs. Design and develop applications using Databricks Unified Data Analytics Platform. Configure and customize applications to meet specific business process requirements. Perform code reviews and ensure adherence to coding standards. Provide technical guidance and mentorship to junior team members. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. Good To Have Skills: Experience with Microsoft Azure Data Services, Microsoft Azure Analytics Services. 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 Databricks Unified Data Analytics Platform. This position is based at our Chennai office. A Full Time Education is required. 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 :PySpark Good to have skills :NA Minimum 3 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 the applications are developed and implemented efficiently and effectively. 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 cross-functional teams to gather and analyze requirements. Design, develop, and test high-quality software solutions using PySpark. Troubleshoot and debug applications to identify and fix issues. Optimize application performance and ensure scalability. Document technical specifications and user guides for reference and training purposes. Professional & Technical Skills: Must To Have Skills:Proficiency in PySpark. 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 3 years of experience in PySpark. 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 : SAP Sales and Distribution (SD) Good to have skills : NA Minimum 12 year(s) of experience is required Educational Qualification : 15 year of 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 aligned with the needs of the organization and contribute to its overall success. Your typical day will involve collaborating with the team, making key decisions, and providing solutions to problems that apply across multiple teams. You will also engage with multiple teams and contribute to important decisions, making this role crucial for the success of the organization. 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 the applications are designed, built, and configured to meet business process and application requirements Collaborate with the team to ensure the applications are aligned with the needs of the organization Make key decisions regarding the design and configuration of applications Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Sales and Distribution (SD) 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 SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 year of education is requiredQualifications 15 year of education

Project Role :Analytics Practitioner Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills :Data Analytics Good to have skills :NA Minimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Analytics & Modeling Practitioner, you will develop business insights using predictive statistical modeling activities. You will use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Your typical day will involve leveraging your expertise in data analytics to extract meaningful insights and trends from large datasets. You will collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Additionally, you will contribute to the development and implementation of statistical models to support business strategies and objectives. 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 statistical models to analyze large datasets. Extract meaningful insights and trends from data using data analytics techniques. Collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Conduct data analysis and present findings to stakeholders. Stay updated with the latest trends and advancements in data analytics and modeling. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Analytics. 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 3 years of experience in Data Analytics. This position is based at our Kolkata 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 : Databricks Unified Data Analytics Platform Good to have skills : NA 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 collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. 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 and develop applications Collaborate with cross-functional teams Contribute to key decisions Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform 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 Databricks Unified Data Analytics Platform 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 :SAP FSCM Treasury and Risk Management (TRM) Good to have skills :NA 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 the successful implementation of applications and collaborating with multiple teams to make key decisions. Your typical day will involve analyzing business requirements, developing application designs, coding and testing applications, and providing solutions to problems for your immediate team and across multiple teams. 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 Develop and maintain applications based on business requirements Perform code reviews and ensure code quality Troubleshoot and debug applications Collaborate with cross-functional teams to gather requirements and design solutions Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Analytics Cloud Development Good To Have Skills:Experience with data visualization tools such as Tableau or Power BI Strong understanding of statistical analysis and machine learning algorithms Experience with 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 SAP Analytics Cloud Development A 15 years full time education is required Qualifications 15 years full time education

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP Analytics Cloud Planning Good to have skills : SAP FI S/4HANA Central Finance Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and collaborating with multiple teams to make key decisions. Your typical day will involve overseeing the application development process, providing solutions to problems, and ensuring effective communication between teams. Roles & Responsibilities:-Responsible for design and implementation of Integrated Financial Planning for SAP S/4HANA supports the integrated financial planning process including cost center, product cost, sales & profitability, investment, P&L, balance sheet and cash flow planning. -Knowledge of Classical Planning and its migration to SAC Planning an added advantage. Knowledge of Budgeting and Forecasting business processes with integration to technology tools in SAP Ecosystems is desirable. 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 effort to design, build, and configure applications Act as the primary point of contact for the application Oversee the application development process Ensure effective communication between teams Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Analytics Cloud Planning, SAC IFP( Integrated Financial Planning) good to have S/4 Hana Financed, SAP FICO Good To Have Skills:Experience with SAP FI S/4HANA Central Finance 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 SAP Analytics Cloud Planning This position is based at our Hyderabad office A 15 years full-time education is required Qualifications 15 years full time education

Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills :SAP Sales and Distribution (SD) Good to have skills :NA Minimum 7.5 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Sales and Distribution (SD) 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 7.5 years of experience in SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Salesforce Einstein AI Good to have skills : No Function Specialty Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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 implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 7.5 years of experience in Salesforce Einstein AI. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Salesforce Einstein AI Good to have skills : No Function Specialty Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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 implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 7.5 years of experience in Salesforce Einstein AI. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Salesforce Einstein AI Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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 implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 7.5 years of experience in Salesforce Einstein AI. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualifications 15 years full time education

Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Salesforce Einstein AI Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, including deep learning, neural networks, chatbots, and image processing. 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 implementation of AI/ML models. Conduct research on emerging AI technologies. Optimize AI algorithms for performance and scalability. Professional & Technical Skills: Must To Have Skills:Proficiency in Salesforce Einstein AI. 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 7.5 years of experience in Salesforce Einstein AI. 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 Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FSCM Credit Management Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP FSCM Credit Management Experience with using Multi-Bank Connectivity (MBC) product for customer payments 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 SAP FSCM Credit Management 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 Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft Dynamics CRM Technical Good to have skills : CRM Architecture Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. With your expertise in Microsoft Dynamics CRM Technical, you will play a crucial role in driving the 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 Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in Microsoft Dynamics CRM Technical Good To Have Skills:Experience with CRM Architecture, Microsoft Dynamics CRM Architecture and Integration 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 7.5 years of experience in Microsoft Dynamics CRM Technical 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 : Tableau Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer in the Data Engineering team, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will play a crucial role in developing efficient and scalable solutions to process and analyze data. 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 cross-functional teams to gather and understand business requirements. Design and develop applications using Tableau to visualize and analyze data. Build and maintain data pipelines to ensure efficient data processing and storage. Perform data quality checks and implement data cleaning and transformation techniques. Optimize application performance and troubleshoot any issues that arise. Stay up-to-date with industry trends and best practices in application development and data engineering. Provide technical guidance and mentor junior team members. Professional & Technical Skills: Must To Have Skills:Proficiency in Tableau. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience 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 3 years of experience in Tableau. This position is based at our Hyderabad 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 : NA Minimum 2 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 the applications are developed and implemented efficiently and effectively, while meeting the needs of the organization. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, designing and developing applications, and testing and debugging code to ensure the applications are functioning properly and meeting the desired outcomes. 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 cross-functional teams to analyze business requirements and translate them into technical specifications. Design, develop, and test applications using PySpark and other relevant technologies. Troubleshoot and debug code to identify and resolve issues. Ensure the applications are developed and implemented efficiently and effectively. Stay up-to-date with the latest industry trends and technologies to continuously improve the applications. Provide technical guidance and support to junior developers. Professional & Technical Skills: Must To Have Skills:Proficiency in PySpark. Good To Have Skills:Experience with data processing frameworks like Apache Spark. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on experience 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 2 years of experience in PySpark. This position is based at our Pune office. A 15 years full time education is required. Qualifications 15 years full time education