958 Data Cleansing Jobs - Page 16

Role & responsibilities Were looking for a Senior Data Analyst (5+ years) to join our team in Bangalore. What youll work on: Insurance data Writing clean and strong SQL queries Automating reports, building dashboards, and spotting data patterns Working with cross-functional teams to drive real business impact Preferred candidate profile Minimum 5 years as a data analyst Strong hands-on experience in SQL Insurance domain knowledge is a must Python or any reporting/analytics tool is a bonus B.Tech degree Location: Bangalore (Hybrid/Onsite depending on the team needs)

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Project System (PS) Good to have skills : NAMinimum 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. A typical day involves collaborating with various teams to understand their needs, developing solutions that align with business objectives, and ensuring that applications are optimized for performance and usability. You will also engage in problem-solving activities, providing support and enhancements to existing applications while maintaining a focus on quality and efficiency. Roles & Responsibilities:- Expected to be an SME, collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and ensure alignment with business goals. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Project System (PS).- Strong understanding of application development methodologies.- Should have solid understanding of the SAP-PS fucntions for both OPEX and CAPEX processes and should have good understanding of the Oil & Gas Upstream industry processes. Should have hand-on experience in designing & defining projects struture and other PS functions and have capability of drafting functional specs and driving discussions with business. Must have experience on data cleansing and migration and should be comfortable with working with data team in the complete migration process.- Experience with integration of SAP modules and third-party applications.- Ability to troubleshoot and resolve application issues effectively.- Familiarity with project management tools and techniques. Additional Information:- A 15 years full time education is required. Qualification 15 years full time education

Master Data Management Role at Pune Any Grad/PG with 2years Exp in Data Validation, Data Manipulation, Data Cleaning, Data Analysis Excellent Communication ONLY IMMEDIATE JOINERS Salary up-to 5LPA Call-Rukhsar-9899875055, Roshan- 9899078782

Role Senior Python Developer (Data Science, AI/ML) HCL Software (hcl-software.com) delivers software that fulfils the transformative needs of clients around the world. We build award winning software across AI, Automation, Data & Analytics, Security and Cloud. The HCL Unica+ Marketing Platform enables our customers to deliver precision and high performance Marketing campaigns across multiple channels like Social Media, AdTech Platforms, Mobile Applications, Websites, etc. The Unica+ Marketing Platform is a Data and AI first platform that enables our clients to deliver hyper-personalized offers and messages for customer acquisition, product awareness and retention. We are seeking a Senior Python Developer with strong Data Science and Machine Learning skills and experience to deliver AI driven Marketing Campaigns. Responsibilities Python Programming & Libraries: Proficient in Python with extensive experience using Pandas for data manipulation, NumPy for numerical operations, and Matplotlib/Seaborn for data visualization. Statistical Analysis & Modelling: Strong understanding of statistical concepts, including descriptive statistics, inferential statistics, hypothesis testing, regression analysis, and time series analysis. Data Cleaning & Preprocessing: Expertise in handling messy real-world data, including dealing with missing values, outliers, data normalization/standardization, feature engineering, and data transformation. SQL & Database Management: Ability to query and manage data efficiently from relational databases using SQL, and ideally some familiarity with NoSQL databases. Exploratory Data Analysis (EDA): Skill in visually and numerically exploring datasets to understand their characteristics, identify patterns, anomalies, and relationships. Machine Learning Algorithms: In-depth knowledge and practical experience with a wide range of ML algorithms such as linear models, tree-based models (Random Forests, Gradient Boosting), SVMs, K-means, and dimensionality reduction techniques (PCA). Deep Learning Frameworks: Proficiency with at least one major deep learning framework like TensorFlow or PyTorch. This includes understanding neural network architectures (CNNs, RNNs, Transformers) and their application to various problems. Model Evaluation & Optimization: Ability to select appropriate evaluation metrics (e.g., precision, recall, F1-score, AUC-ROC, RMSE) for different problem types, diagnose model performance issues (bias-variance trade-off), and apply optimization techniques. Deployment & MLOps Concepts: Understanding of how to deploy machine learning models into production environments, including concepts of API creation, containerization (Docker), version control for models, and monitoring. Qualifications & Skills At least 8-10 years. of Python Development Experience with at least 4 years in data science and machine learning Experience with Customer Data Platforms (CDP) like TreasureData, Epsilon, Tealium, Adobe, Salesforce is advantageous. Experience with AWS SageMaker is advantegous Experience with LangChain, RAG for Generative AI is advantageous. Expertise in Integration tools and frameworks like Postman, Swagger, API Gateways Knowledge of REST, JSON, XML, SOAP is a must Ability to work well within an agile team environment and applying the related working methods. Excellent communication & interpersonal skills A 4-year degree in Computer Science or IT is a must. Travel: 30% +/- travel required Location: India (Pune preferred) Compensation: Base salary, plus bonus

KEY TASKS & RESPONSIBILITIES : Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design and Data Review and Data Reconciliation tools. Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance. Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables. Perform holistic data review and trending analysis via reporting and elluminate analytics to proactively identify issue, risks and develop mitigation strategies. Utilize artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection to enhance the efficiency and quality of trial data. Monitor and interpret key performance indicators (KPIs), metrics, dashboards, Clinical Trial Operational Analytics (CTOA), and reports to provide actionable recommendations to study lead(s)/project manager. Perform Query Management Define specifications and collaborate with technical team on configuration of centralized data management platform, elluminate® Data Central for data cleaning strategy and oversight activities. Prepare and maintain data management documentation (e.g., DMP, CCGs, Help Text, DVS) and update throughout trial lifecycle. Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and elluminate® Data Central with analytics modules. Actively evaluate and contribute to enhance processes to increase efficiency and effectiveness. Collaborate and work as a team to ensure the deliverables are completed on time with high quality. Ensure compliance with industry quality standards, regulations, guidelines, and procedures. Other duties as assigned.

Utilize advanced Microsoft Excel skills (e.g., pivot tables, VLOOKUP/HLOOKUP, complex formulas, charting) to analyze and interpret data sets. Familiarity with data analysis and visualization tools (e.g., SQL, Python, R, Power BI, Tableau) is a plus.

The Global Quality Analytics and Innovation team leads the digital transformation and innovation effort throughout Amgen s Quality organization. We are at the forefront of developing and rolling out data-centric digital tools, employing automation, artificial intelligence (AI), and generative AI to drive end-to-end quality transformation. We are seeking a highly motivated and experienced Data Scientist with a strong background in Generative AI, Large Language Models (LLMs), and MLOps, along with an understanding for Quality in regulated environments (e.g., GxP). This role will play a key part in designing, developing, and deploying scalable AI/ML solutions to drive innovation, efficiency, and regulatory compliance across the organization. You will collaborate with cross-functional teams, including software engineers, data engineers, business stakeholders, and quality professionals to deliver AI-driven capabilities that support strategic business objectives. The ideal candidate is an analytical thinker with excellent technical depth, communication skills, and the ability to thrive in a fast-paced, agile environment. Key Responsibilities Design, build, and deploy generative AI and LLM-based applications using frameworks such as LangChain, LlamaIndex, and others. Engineer reusable and effective prompts for LLMs like OpenAI GPT-4, Anthropic Claude, etc. Develop and maintain evaluation metrics and frameworks for prompt engineering. Conduct data quality assessments, data cleansing, and ingestion of unstructured documents into vector databases. Build retrieval algorithms for relevant data identification to support LLMs and AI applications. Ensure AI/ML development complies with GxP and other regulatory standards, fostering a strong Quality culture. Partner with global and local teams to support regulatory inspection readiness and future technological capabilities in AI. Share insights and findings with team members in an Agile (SAFe) environment. What we expect of you Basic Qualifications: Master s degree and 2 - 4 years of experience in Software Engineering, Data Science, or ML Engineering or Bachelor s degree and 3 to 5 years of experience in Software Engineering, Data Science, or ML Engineering or Diploma and 7 to 9 years of experience in Software Engineering, Data Science, or ML Engineering Preferred Qualifications: Experience in developing and deploying LLM applications. Strong foundation in ML algorithms, data science workflows, and NLP. Expertise in Python and ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with MLOps tools (e.g., MLflow, CI/CD, version control). Experience with cloud platforms (AWS, Azure, GCP) and tools like Spark, Databricks. Understanding of RESTful APIs and frameworks like FastAPI. Experience with BI and visualization tools (e.g., Tableau, Streamlit, Dash). Knowledge of GxP compliance and experience working in regulated environments. Strong communication skills with the ability to explain complex topics to diverse audiences. High degree of initiative, self-motivation, and ability to work in global teams. What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way.

Job Title: Senior Data Engineer Contractual (Remote | 12 Months Project) Company: Covalensedigital Job Type: Contract (Short-term: 1 to 2 months) Location: Remote Experience: 7+ Years (3+ years in Databricks/Azure Data Engineering) Job Description: We are looking for an experienced Senior Data Engineer for a short-term remote project (12 months) to join Covalensedigital on a contractual basis . Key Responsibilities: Design and implement robust data pipelines using Azure Data Factory (ADF) and Databricks Work on data ingestion , transformation, cleansing, and aggregation from multiple sources Use Python, Spark, SQL for developing scalable data workflows Integrate pipelines with external APIs and systems Ensure data quality, accuracy, and adherence to standards Collaborate with data scientists, analysts, and engineering teams Monitor and troubleshoot data pipelines for smooth operation Must-Have Skills: Python / Spark / SQL / ADLS / Databricks / ADF / ETL 3+ years of hands-on experience in Azure Databricks Deep understanding of large-scale data architecture , data lakes , warehousing , and cloud/on-premise hybrid solutions Strong experience in data cleansing , Azure Data Explorer workflows Ability to work independently and deliver high-quality output within timelines Excellent communication skills Bonus: Experience in Insurance Domain projects Familiarity with data quality frameworks , data cataloging , and data profiling tools Contract Details: Duration: 1 to 2 months Type: Contractual (Remote) Start: Immediate How to Apply: Interested candidates, please send your resume to: kalaivanan.balasubamaniam@covalensedigital.com Thanks kalai 8015302990

Job Summary: We are hiring a List Quoting Purchase Manager MRO with 7 8 years of experience in handling large-scale indirect procurement, preferably at an end-user organization. The ideal candidate must have strong technical knowledge of MRO items, deep understanding of dealer-distributor pricing, discount structures, and hands-on experience in Excel, SAP S/4 HANA, and spend analysis. This role involves reviewing customer spend data, mapping MRO products and brands, identifying the correct OEM or distributor, and preparing accurate item-wise list quotations with competitive discount structures. The candidate must be willing to travel across India for customer site visits, technical validations, and supplier alignment. Team handling experience is essential. Key Responsibilities: 1. List Quotation & Price Structuring: Prepare item-wise list quotations based on customer spend data, mapped brands, and dealer/OEM discount structures. Ensure technical and commercial accuracy of all items quoted under MRO categories. Regularly update price lists as per market trends and supplier revisions. 2. Customer Spend Analysis & Item Categorization: Analyze customer spend files and classify items into MRO categories (electrical, mechanical, instrumentation, safety, consumables, etc.). Map product brand names to correct OEMs/distributors and research applicable discount structures. 3. Dealer & Distributor Network Management: Engage with pan-India dealer and distributor networks for rate validation and alternate sourcing. Negotiate pricing, payment terms, and logistics to optimize quote competitiveness. 4. SAP S/4 HANA PR to PO Cycle: Manage complete PR to PO process using SAP S/4 HANA, ensuring data accuracy and compliance. Maintain purchase records, contracts, and quotations systematically in SAP. 5. Site Visits & Technical Review: Travel across India to visit customer plants for technical evaluations, material validations, and vendor discussions. Liaise with plant maintenance and operations teams to understand real-time requirements. 6. Cost Optimization & P&L Impact: Drive cost-effective procurement strategies aligned with P&L goals. Monitor savings achieved through better discounting, alternate sourcing, and optimized quoting. 7. Team Handling: Lead a team of procurement analysts/executives responsible for quoting, vendor coordination, and documentation. Allocate tasks, monitor progress, and upskill team members on quoting tools and procurement systems. Key Skills & Competencies: Advanced proficiency in Excel VLOOKUP, pivot tables, data cleansing, brand mapping, and quote templates. Working knowledge of SAP S/4 HANA P2P module. In-depth understanding of MRO items and discounting patterns across dealer-distributor chains. Excellent analytical, negotiation, and communication skills. Strong team management and cross-functional coordination abilities. Willingness to travel across India frequently for on-site review and support.

We are seeking a seasoned Data Analyst with a proven background in renowned analytics firms such as MuSigma, EXL, Fractal, or similar- This role requires a deep analytical mindset, problem-solving prowess, and the ability to unravel meaningful insights from data- You will work individually (reporting to Sales Strategy) and collaborate closely with Presales team, leverage complex data sets, and contribute to data-driven strategies that drive Lodha Groups Presales team s success- Responsibilities: Market Intelligence (Pre-Sales): Collaborate with Pre-Sales, Sales and Marketing teams to understand customer behavior, preferences, and demand patterns to enable better sourcing Provide actionable insights derived from data analysis to enable better customer targeting Data Visualization and Reporting: Create visually compelling dashboards, reports, and presentations using tools like Tableau, Power BI, etc-, to convey complex insights to stakeholders Craft intuitive visualizations to support strategic discussions and presentations Predictive Modeling: Design, validate, and refine predictive models to anticipate market trends, and customer preferences- Employ advanced analytical techniques to drive actionable insights from historical and real-time data- Data Quality Initiatives: Contribute to data cleansing, transformation, and quality enhancement initiatives-

Lodha Group is looking for Data Analyst (Pre-Sales) to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

Data Analyst Job Description: Interpret data, analyze results using statistical techniques, and provide ongoing reports. Develop and maintain dashboards and visualizations using tools like Power BI, Tableau, or similar. Identify, analyze, and interpret trends or patterns in complex data sets. Work closely with management to prioritize business and information needs. Acquire data from primary or secondary sources and maintain databases/data systems. Filter and clean data, and review reports and performance indicators to locate and correct problems. Provide actionable insights and recommendations based on data analysis. Experience Range: 0 - 1 years Educational Qualifications: Any graduation Skills Required: Data Analysis

SAP Commerce Backend Development Lead responsible for designing, developing, and maintaining scalable and robust backend solutions within the SAP Commerce platform. The candidate should possess strong expertise in SAP Commerce Cloud and a solid understanding of eCommerce processes, with emphasis on building scalable and high-performance backend solutions. Expected Tasks to be performed - Design, Develop, customize, and maintain backend functionalities in SAP Commerce Cloud (Hybris). Implement and enhance integrations with external systems (e. g. , SAP ERP, payment gateways, logistics, and other third-party services) using OCC, REST, and SOAP APIs. Work on key modules including Product Information Management, Cart & Checkout, Order Management, Customer Management, and B2B/B2C Accelerators. Develop custom extensions and configure existing modules based on project requirements. Implement headless solution with frontend built of Spartacus Collaborate with frontend developers, business analysts, and QA teams to deliver end-to-end features. Ensure quality code through unit testing, code reviews, and adherence to best practices. Oversee customer data management processes, including data cleansing, migration, and enrichment. Responsible for Sprint Demo, Key user Training, UAT support, Hypercare / Post Go live support. Ensure excellent communication and collaboration between Internal and external teams. Mandatory Skills Minimum 10 Years of Experience as SAP Commerce Developer Possesses in-depth knowledge of key SAP Commerce modules, including B2B and B2C Accelerators, Product Management, Cart and Checkout, WCMS, Customer Management, Order Processing, Order Management and Fulfillment, Integration Framework, Backoffice and more Experience working in Agile/Scrum development environments. Strong experience in REST APIs, OCC and other integration patterns. Business English Preferred Skills SAP Commerce Cloud Developer Certification

JD for the Senior Windchill Data Migration Engineer. • 4+ years of experience in large scale data migration projects, preferably in Healthcare Devices manufacturing domain. • 7+ Years of total experience in IT industry. • Experience in using Windchill Bulk Migrator (WBM) tool for the large-scale data migrations to PTC Windchill. • Good experience with data migration ETLV (Extract, Transform, Load and Validation) concepts and tools • Experience in loading huge volume data different source systems to PTC Windchill using WBM or load from file approach. • Develop and execute data extraction and transformation scripts based on migration scope and migration procedure • Strong understanding of Windchill PLM and Manufacturing data model • Good knowledge about the Windchill Database and table structure. • Able to write SQL (Oracle) queries as needed for the work. • Strong analytical thinking and experience in data profiling and analysis • Strong & clear communicator who can communicate effectively with project team • Track data migration defects, analyze root cause, determine solution and support for timely resolution of defects related to extraction and transformation • Support for data cleansing and data construction activities

As a Data Migration Developer, you will play a crucial role in managing the integration and migration of FIS Commercial Lending Solution (CLS) as part of a strategic transformation initiative for the Back Office. Your main responsibilities will include contributing to migration activities from legacy lending platforms to FIS CLS, collaborating with business analysts to implement tools for data collection, preparation, mapping, and loading, testing migration loading to CLS in a controlled environment, and supporting end-to-end dress rehearsals and production migration. To excel in this role, you should have a minimum of 8 years of relevant experience in software engineering, with at least 4 years in ETL tools, and ideally in data migration of financial data. The ideal candidate will be an experienced technology professional with a proven track record of solving complex technical challenges. Your technical skills should encompass data migration & ETL, strong experience with end-to-end data migration processes, hands-on experience with ETL tools such as Informatica, Talend, SSIS, a strong command of SQL, system integration & API work, testing & quality assurance, technical documentation & change management, DevOps & automation, and security & compliance. Additionally, functional skills such as knowledge of the commercial loan lifecycle or basic banking experience, strong hands-on experience with FIS Commercial Lending Solutions, experience with banking core systems and integrations, a good understanding of SDLC and Agile Scrum practices, and soft skills including leadership, problem-solving, communication, and collaboration will be essential for success in this role. In summary, as a Data Migration Developer, you will be at the forefront of ensuring a seamless integration and migration process for FIS CLS, leveraging your technical expertise, problem-solving skills, and collaborative approach to drive the success of this strategic transformation initiative for the Back Office.,

The SAP Analytics Cloud Consultant position at AstraZeneca's Process Insights team within Global Business Services (GBS) in Chennai, Tamil Nadu, India, offers you an exciting opportunity to contribute significantly to the world of analytics. As part of our team, you will be instrumental in driving the transformation of business processes through automation, analytics, and AI capabilities to propel progress across AstraZeneca. Your responsibilities will include collaborating with stakeholders to comprehend their business process requirements and objectives, converting them into SAP Analytics solutions (SAC & Datasphere). You will be involved in creating Extract, Transform, and Load (ETL) data pipelines, data warehousing, and ensuring data quality and accuracy through data cleansing, enrichment, and data model building. Additionally, you will develop advanced analytics, dashboards, and visualizations for reporting, business planning, and metric tracking purposes, utilizing low/no-code development to enhance solution experiences. To excel in this role, you should hold a degree in Computer Science, Business Informatics, or a related field, with a minimum of 8-10 years of overall experience and at least 2 years of hands-on experience with SAP SAC / Datasphere solutions as a Data Analyst and/or Data Engineer. Your expertise should encompass SAP Datasphere, ETL processes, data pipelines, data preparation, integration, data modeling, relational data modeling, denormalization techniques, and SAP Analytics Cloud functionalities. Certification in SAC Data Analyst, Data Engineer, or Low-Code/No-Code Developer is desirable. Moreover, the ideal candidate will possess good communication skills, the ability to thrive in an Agile environment, and a proactive, organized, and self-motivated approach. Proficiency in business English is essential for effective collaboration within the team and across stakeholders. Understanding of SAP-related Finance and Operations processes will be advantageous in this role. At AstraZeneca, we foster a culture of diversity, equality, and inclusivity, welcoming applications from all qualified candidates, irrespective of their backgrounds. By joining our team, you will have the opportunity to work in a dynamic environment focused on innovation, digital transformation, and leveraging cutting-edge technologies to make a meaningful impact on patients" lives globally. If you are ready to elevate your career and be part of a transformative journey in healthcare analytics, we invite you to apply now and join us in driving excellence and breakthroughs in the industry. AstraZeneca - Transforming healthcare through analytics.,

As the SAP S4HANA Data Migration BODS Developer, your primary responsibility will be to design, develop, and execute data migration processes from legacy systems to SAP S4HANA using SAP BusinessObjects Data Services (BODS). You will collaborate closely with functional and technical teams to ensure a smooth data extraction, transformation, and loading process while upholding data integrity and quality standards. Your key tasks will include proficiency in SAP BusinessObjects Data Services (BODS), encompassing job design, dataflows, and transformations. You should have hands-on experience with SAP S4HANA data models, both master and transactional data, along with strong SQL skills for data extraction, transformation, and validation. Additionally, expertise in data profiling, cleansing, and validation techniques is essential for this role. Collaboration with business and functional teams is crucial to understand migration requirements and define data mapping rules. You will also contribute to the development of the overall data migration strategy, which involves identifying data sources, cleansing needs, and cutover planning. In terms of technical tasks, you will design and develop ETL jobs, workflows, and dataflows in SAP BODS for migrating master and transactional data. Ensuring the optimal performance of ETL processes by implementing best practices and tuning dataflows will be part of your responsibilities. Your role will also involve data extraction, cleansing, transformation, and loading into SAP S4HANA, implementing data validation rules, reconciliation processes, and error handling mechanisms. Data profiling and cleansing activities will be performed to maintain data consistency and accuracy. Furthermore, you will be responsible for preparing and maintaining detailed technical documentation, including data mapping, transformation logic, and migration steps. Providing regular status updates and reports on data migration progress and issues is essential, along with supporting cutover activities and post-migration data validation. Key Skills: SAP DS, ETL If you possess the mandatory skills and expertise to thrive in this role, we look forward to your contribution as the SAP S4HANA Data Migration BODS Developer.,

The key responsibilities for this role include: - Handling and maintaining data by collecting, cleansing, and validating data from various sources such as internal systems, spreadsheets, and third-party feeds. - Updating and maintaining Management Information Systems (MIS) to ensure data consistency and accuracy. - Creating, developing, and managing automated reports and interactive dashboards to provide clear and actionable insights from complex datasets to stakeholders. - Ensuring data accuracy and quality by implementing data-quality checks and reconciliation processes, as well as promptly resolving any data discrepancies. - Coordinating with Sales, Finance, Operations, and IT departments to understand their requirements and deliver customized reports. - Providing training to end-users on MIS tools and best practices for data entry and interpretation. - Identifying opportunities to improve data workflows and reporting cycles, and documenting standard operating procedures (SOPs) and updating data-governance guidelines. About the Company: Aurika Tech is an early-stage startup operating in stealth mode, with a vision to revolutionize India's e-commerce landscape. The company is dedicated to utilizing the digital shift and India's digital stack to introduce innovative solutions to an under-penetrated sector.,

Dexian India is hiring for Senior Python Data Engineer!!! Location: Chennai / Bangalore Work Mode: 100% WFO Shift: 02:00 PM to 11:00 PM IST Start Date: Immediate Responsibilities Design and develop data pipelines and ETL processes. Collaborate with data scientists and analysts to understand data needs. Maintain and optimize data warehousing solutions. Ensure data quality and integrity throughout the data lifecycle. Develop and implement data validation and cleansing routines. Work with large datasets from various sources. Automate repetitive data tasks and processes. Monitor data systems and troubleshoot issues as they arise. Qualification Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer or similar role (Minimum 8+ years experience as Data Engineer). Strong proficiency in Python and PySpark. Excellent problem-solving abilities. Strong communication skills to collaborate with team members and stakeholders. Individual Contributor

: The SAP Commerce Product Owner/Business Analyst will be responsible for consulting, designing, and configuring SAP Commerce solution within the customers environment. He / She will be responsible for gathering requirements, configuring, and testing of SAP Commerce features and functionalities. Act as a bridge between the customer and the development team to deliver the final SAP Commerce solution. Expected Tasks to be performed - Lead Requirements Gathering Workshops, Documentation of Requirements, User Stories and Acceptance Criteria Design end-to-end customer journey for multi-site eCommerce solution Design Integration with other 3rd Party systems like ERP, Payment Gateway, Tax Calculation System, Logistics solution etc. Lead configuration of SAP Commerce solutions to meet business requirements. Oversee customer data management processes, including data cleansing, migration, and enrichment. Provide training and support to end-users on SAP Commerce functionalities and best practices. Work closely with cross-functional teams, including IT, Business, and Customer Support, to align implementation strategies with business goals. Responsible for Sprint Demo, Key user Training, UAT support, Hypercare / Post Go live support. Ensure excellent communication and collaboration between Internal and external teams. Mandatory Skills Minimum 10 Years of Experience as Business Analyst or Product Owner Role for SAP Commerce Possesses in-depth knowledge of key SAP Commerce modules, including B2B and B2C Accelerators, Product Management, Cart and Checkout, WCMS, Customer Management, Order Processing, Order Management and Fulfillment, Integration Framework, and more Experience working in Agile/Scrum development environments. Familiarity with REST APIs, OCC and other integration patterns. Business English Preferred Skills SAP Commerce BA Certification

Novo Nordisk Global Business Services (GBS) India The position As an Associate Business Analyst at Novo Nordisk, you will be responsible for creating and maintaining master data in SAP and Winshuttle in alignment with established business processes and rules. You will also handle Change Requests (CR-cases) and Development Requests (DV) related to master data creation. You will be entrusted with the below responsibilities: Create and maintain master data for raw, semi-finished, and finished goods in SAP ECC and Winshuttle, including Bill of Materials (BOM) individually and in mass, and manage change-controlled objects using Engineering Change Master. Support global serialization master data maintenance by updating specification sheets, addressing ad hoc requests, and executing related support tasks. Manage material master data across the product life cycleincluding creation, maintenance, and deactivationby leading and documenting product change control, analyzing material usage and inventory trends, delivering actionable reports, and supporting cross-functional projects to ensure timely execution. Perform data cleansing to ensure accuracy and integrity and create and maintain Standard Operating Procedures (SOPs) and work instructions in compliance with Novo Nordisk standards. Identify process improvement opportunities within master data management and standardization and ensure creation and maintenance of SOPs and work instructions in alignment with Novo Nordisk standards. Manage stakeholder relationships effectively, support new process implementations, ensure adherence to defined KPIs, and contribute to training and onboarding of new joiners. Qualifications Bachelors degree in supply chain management, production, mechanical engineering, or equivalent from a well-recognised institute. 5 to 7 years of experience within SAP master data, preferably within pharma or supply chain. Experience with master data. Ability to analyse and process data. Must have experience in Product Life Cycle Management, S/4HANA, Winshuttle, SAP ECC, and Master Data Management. Good understanding of supply chain concepts (Plan, Make, Source, Deliver, and Return) and the supporting master data. Proficient user of Microsoft Office (Excel, PowerPoint). Experience in automation with advanced Excel and building macros or have ETL knowledge with Informatica/Winshuttle. Experience in conducting meetings with peers, including preparation and facilitation. Knowledge of business rules for processes and attributes within SAP. Excellent communication skills in English, both written and oral.

Project description Luxoft DXC Technology Company is an established company focusing on consulting and implementation of complex projects in the financial industry. At the interface between technology and business, we convince with our know-how, well-founded methodology and pleasure in success. As a reliable partner to our renowned customers, we support them in planning, designing and implementing the desired innovations. Together with the customer, we deliver top performance! For one of our Clients in the Insurance Segment we are searching for a Developer Tableau and SQL. Responsibilities You will work on CISO multi-functional Tableau reports that interface with several applications. You will report to a senior developer who has been working on the project for a few years. Proficiency in writing complex SQL queries involving multiple joins (inner, outer, cross), subqueries, and CTEs is required for this role Strong Tableau Desktop Development Skills are required. Skills Must have Proficiency in writing complex SQL queries involving multiple joins (inner, outer, cross), subqueries, and CTEs Expertise in developing SQL Stored Procedures, Functions & Views Experience in developing ETL processes to extract and transform data using SQL (aggregations, filtering, data cleansing) and loading data into database Familiarity working in Microsoft SQL Server Familiarity with data modeling concepts (star schema) Tableau Desktop Development Skills: Expertise in developing complex, interactive dashboards in Tableau incorporating filters, parameters, and actions Experience in building user-friendly dashboards with menus, tooltips, drill-down and drill-through capabilities Ability to create calculated fields, custom aggregations, table calculations and LOD expressions Knowledge of optimizing Tableau dashboards for performance Understanding of user access & user groups creation & management in Tableau Nice to have insurance domain

Collect, clean, and analyze large datasets from various sources. Interpret data trends and patterns to provide actionable insights. Develop and maintain dashboards, reports, and visualizations using tools like AI, Tableau, Excel or any other tools. Required Candidate profile Work closely with stakeholders to understand their data needs and translate them into analytical solutions. Create and maintain documentation on data definitions, processes, and reports.

Job Summary: A Business Intelligence Data Analyst II is responsible for performing analysis for any requests/questions that require research within the Data Domain at Verisys. A Business Intelligence Data Analyst supports short and long term operational/strategic business activities by performing analysis and making recommendations on data improvements. Duties/Responsibilities: Working collaboratively with all internal stakeholders to meet client needs. Implement and deliver on a broad range of projects and priorities including identifying the most efficient solution and quality review. Work with other teams within the Data Domain to troubleshoot issues and answer questions relative to client needs. Document pertinent processes and research outcomes. Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Performs other duties as assigned. Leverage analytics and quantitative methods to inform and influence decision-making; Foster a data-driven, test-and-learn culture through analytics, experimentation, and in-depth research into data quality and availability Influence and build relationships with people across all levels of the organization Responsible for gathering, structuring, and analyzing data and providing recommendations to management; Presents the results of data analyses and recommendations to management and process owners; Implement and deliver on a broad range of projects and priorities including identifying the most efficient solution and quality review. Monitor assigned client workflow deliveries including remediating errors, schedule changes, and escalation of issues. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Performs analysis/research/work within the DBTask Team Required Skills/Abilities: Excellent verbal and written communication skills. Excellent organizational skills. Self-directed and highly motivated Ability to quickly learn new technologies. Ability to solve complex challenges and operate in a fast-paced team environment. Experience with Data Cleansing and Normalization. Strong SQL skills and experience working with relational databases, as well as working familiarity with a variety of databases. Experience in Web-services/API. Education/Experience: Required: Undergraduate degree or minimum of 3-5 years professional related work experience. Preferred : Knowledge of Healthcare domain. Strong understanding and experience of ETL processes & experience in ETL tools k. Experience with cloud technologies such as Kubernetes, AWS, RDS. Experience with G-Suite. Verisys transforms provider data, workforce data, and relationship management. More than 400 healthcare, life science, and background screening organizations depend on us to credential providers, improve data quality, publish compliant provider directories, and conduct employment verifications. Our comprehensive solutions deliver accurate and secure information. As a result, we re the largest outsourced credentials verification organization in the United States. Since we ve partnered with the most complex institutions in healthcare for decades, we can help organizations of any size discover their true potential. At Verisys, you can have a rewarding career on every level. In addition to challenging and meaningful work, you will have the chance to give back to your community, make a positive impact on the environment, participate in a range of diversity and inclusion initiatives, and find the support, coaching, and training it takes to advance your career. Our commitment to individual choice lets you customize aspects of your career path, your educational opportunities, and your benefits. And our culture of innovation means your ideas on how to improve our business and our clients will be heard.

You will utilize state-of-the-art software to plan and execute research projects in order to achieve specific client objectives. Your responsibilities will include delving into social media conversations to extract relevant information and inputting them into the software. Additionally, you will be responsible for training machine-learning models by verifying and rectifying speech-to-text conversions of audio files and integrating them into our proprietary platform, MavenMagnet Research Private Limited. As a subject matter expert in data relevance and collection, you will work on projects spanning various categories and identify data quality issues, redirecting data collection efforts towards platforms with superior data quality. Your tasks will also involve conducting data validation and cleansing procedures. Moreover, you will be managing multiple research projects simultaneously for Fortune 500 companies. MavenMagnet is a market research company that operates in North America, EMEA, and the Asia Pacific regions. Leveraging the capabilities of AI and human expertise, we extract actionable insights from digital conversations. Unlike conventional research methods such as moderated discussions or surveys, MavenMagnet focuses on analyzing authentic consumer conversations on online platforms within social circles. This unique approach enables us to unearth genuine insights without the limitations of predefined questionnaires or discussion guides. By adopting this methodology, we facilitate comprehensive exploration of emerging consumer and customer trends at both category and brand levels, subsequently providing actionable recommendations with notable efficiency gains. It's crucial to emphasize that we transcend traditional social listening practices to offer more profound and meaningful insights.,