876 Data Validation Jobs - Page 8

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Location : Remote. Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Location : Remote. Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Location : Remote. Experience : 12+ years. Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Sodexo Food Solutions India Pvt. Ltd.ces is looking for MIS & Admin Assistant to join our dynamic team and embark on a rewarding career journey Oversee the design, implementation, and maintenance of the information systems, including hardware, software, and networking infrastructure Manage the database systems, including data backup and recovery, data security, and data integrity Develop and maintain procedures for managing the information systems and technology infrastructure, including disaster recovery plans, security policies, and user access controls Analyze the business processes and identify opportunities for improvement through the use of information systems and technology Collaborate with cross-functional teams, including IT, finance, and business operations, to integrate information systems and technology with other systems and processes Monitor system performance and provide technical support to end-users to ensure the smooth operation of information systems and technology Strong analytical and problem-solving skills Excellent communication and collaboration skills

Leading the full audit cycle by checking tax compliance, verifying financial records, and inspecting accounts. Analyzing the results of the audit and presenting possible solutions for ineffective financial practices to management. Evaluating company accounting procedures, payroll, inventory, and tax statements to guide financial policymaking. Conducting risk assessments to recommend aversion measures and cost savings. Following up with management to ensure remediations are implemented into the company's financial practices. Supervising junior auditing personnel and implementing their research work into the auditing process. Preparing and reviewing annual audit memorandums. Researching applicable federal and state laws and regulations to ensure the company's books are compliant.

Closely monitor and validate key data attributes that contributes to important GSAM investing decisions Verifying the prices on securities held in GSAM portfolios on a daily basis across all accounts, to ensure securities are set up and valued accurately. Controlling the risks associated with any abnormal prices and securities as well as ensuring that these are prioritized, pursued and escalated to ensure resolution Investigating and resolving standard product reference data issues that are impacting downstream systems. Liaising with internal counterparties (Traders, Portfolio Teams, Trade Management group and Controllers) Using your problem solving skills, you will act as a central point of contact/escalation for inquiries from the GSAM business regarding product setup and pricing. Leverage your attention to detail by managing daily responsibilities and inquiries, while also working on enhancing your project management skills working on key market initiatives and internal system enhancements. Grow with a strong team and develop a deep understanding of products and complex transactions while working with our business partners. BASIC QUALIFICATIONS Knowledge and experience in financial services Proven track record contributing in a dynamic team environment Pays attention to detail and can multi-task Experience with Microsoft Office applications-specifically Excel Data and Pricing knowledge is preferred but not mandatory Knowledge of product data, reconciliation, trade management and accounting functions is preferred but not mandatory

Roles and Responsibilities: Conduct internal audits across multiple FMCG locations, ensuring compliance with company policies and controls. Analyze sales transactions, accounting entries, and GST records to ensure accuracy and regulatory adherence. Utilize SAP for data extraction, validation, and audit trail analysis. Prepare audit reports with detailed observations, root-cause analysis, and actionable recommendations. Collaborate with cross-functional teams to ensure timely resolution of audit findings. Key Requirements: 2–3 years of relevant audit experience in the FMCG sector. Sound understanding of sales processes, accounting standards, and GST compliance. Proficient in SAP and MS Office, especially Excel, for analytical review and reporting. Excellent communication and report-writing skills. Willing to travel extensively (10–12 days per month) for field audits across various regions.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

Role Expectations : - Design, develop, and maintain interactive dashboards and reports using Power BI. - Create and optimize data models, including star/snowflake schemas. - Develop complex DAX calculations and KPIs to drive business insights. - Integrate data from various sources (SQL Server, Excel, SharePoint, APIs, etc.) - Collaborate with business stakeholders to gather requirements and translate them into technical solutions. - Perform data validation and troubleshooting to ensure accuracy and performance. - Implement row-level security and user-based data access strategies. - Provide guidance on Power BI governance, best practices, and self-service analytics models. - Maintain data refresh schedules and monitor report performance. - Work with cross-functional teams including data engineers, analysts, and business users. Qualifications : - 12+ years of hands-on Power BI development. - Advanced DAX and data modeling expertise. - Experience with Power Query/M Language. - Strong dashboard and visualization design skills. - Power BI Service and Power BI Report Server knowledge. - Row-level security and gateway configurations. - Familiarity with Power BI REST API and embedding techniques. - Proficient in writing complex T-SQL queries, stored procedures, views, and functions. - Data extraction, transformation, and integration using SQL. - Experience with large datasets and performance tuning.

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

We are seeking an experienced Product Manager-Data Management to lead the development and adoption of our 3rd party data platforms, including D&B and other similar platforms. The successful candidate will be responsible for driving the integration and utilization of 3rd party data across marketing campaigns, improving data quality and accuracy, and expanding the use cases and applications for 3rd party data. About the Role Develop and execute a comprehensive strategy for 3rd party data platform adoption and expansion across the organization, with a focus on driving business outcomes and improving marketing effectiveness. Collaborate with marketing teams to integrate 3rd party data into their campaigns and workflows and provide training and support to ensure effective use of the data. Develop and showcase compelling use cases that demonstrate the value of 3rd party data in improving marketing effectiveness and measure the success of these use cases through metrics such as adoption rate, data quality, and marketing ROI. Develop and maintain a roadmap for 3rd party data platform adoption and expansion across the organization, with a focus on expanding use cases and applications for 3rd party data and developing new data-driven products and services. Monitor and measure the effectiveness of 3rd party data in driving business outcomes, and adjust the adoption strategy accordingly Work with cross-functional teams to ensure data quality and governance, and develop and maintain relationships with 3rd party data vendors to ensure seamless data integration and delivery. Drive the development of new data-driven products and services that leverage 3rd party data, and collaborate with stakeholders to prioritize and develop these products and services. Shift Timings: 2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory). About You 12+ years of experience in data management, product management, or a related field. Bachelors or Masters degree in Computer Science, Data Science, Information Technology, or a related field. Experience with data management tools such as data warehousing, ETL (Extract, Transform, Load), data governance, and data quality. Understanding of the Marketing domain and data platforms such as Treasure Data, Salesforce, Eloqua, 6Sense, Alteryx, Tableau and Snowflake within a MarTech stack. Experience with machine learning and AI frameworks (eg, TensorFlow, PyTorch). Expertise in SQL and Alteryx. Experience with data integration tools and technologies such as APIs, data pipelines, and data virtualization. Experience with data quality and validation tools and techniques such as data profiling, data cleansing, and data validation. Strong understanding of data modeling concepts, data architecture, and data governance. Excellent communication and collaboration skills. Ability to drive adoption and expansion of D&B data across the organization. Certifications in data management, data governance, or data science is nice to have. Experience with cloud-based data platforms (eg, AWS, GCP, Azure) nice to have. Knowledge of machine learning and AI concepts, including supervised and unsupervised learning, neural networks, and deep learning nice to have. What s in it For You Hybrid Work Model: we've adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial we'llbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Stakeholder Collaboration & Business Engagement Participate and engage in Data Quality implementation discussions with business and technical product owners in procurement. Participate in architecture discussions around the Data Quality framework. Collaborate with business users from procurement, P2P finance, supply chain etc to capture Business rules. Provide business requirements to BODS / LSMW team to enable data loads. Review and track exceptions for data quality rules and incorporate logic in the tool. Identify and investigate continuous improvement opportunities in the data standards, data quality rules, and data maintenance processes for each master data object by working with Business and other MDM Teams as required. Ensure to capture sign off from key stakeholders at critical stages of the project. Data Quality Rules & Standards Definition. Define and document data quality rules based on business requirements, functional specifications, and compliance needs. Derive technical definitions for agreed business rules / Data Quality rules to support tool development. Support Rule development in DQ tool. Review and validate rule output and inform business. Data Profiling, Cleansing & Monitoring Create and maintain data quality dashboards and reports to track improvements and errors. Review data profiling results for supplier master data and identify opportunities for data cleansing. Support the design and execution of the Data Quality Framework. Perform root cause analysis and recommend process changes and system controls. Perform pre-validation and post-validation as part of Data cleansing execution. Supplier/vendor Master Data Management (SAP) Manage and maintain supplier Master data in SAP where BODs cannot be used. Ensure data accuracy, consistency, and completeness across all supplier master records. Drive discussions on obsolete records identification and define the deactivation criteria. Data Migration, Integration & Tool Support Work closely with IT teams to support data migration, cleansing, and validation activities during SAP projects or enhancements. Perform process analysis and translate business issues and requirements into actionable plans to improve the Master Data Process from a tool and programming perspective. Recommend system and process enhancements to improve data quality and governance practices. Skills required 10+ years experience in SAP vendor Master objects along with knowledge on SAP T-codes and fields Hands-on experience in creating, maintaining, and validating supplier/vendor master data in SAP Good understanding of purchase order process, invoice process, payment process etc within P2P. Familiarity with industry-specific rules in procurement, P2P finance, various vendor types. Knowledge of supplier/vendor lifecycle processes (creation, change, extension, obsolescence, deletion) Strong skills in data quality rule definition, documentation, and enforcement Experience with data profiling, cleansing, and standardization techniques Ability to perform root cause analysis of data issues and recommend remediation Working knowledge of SAP BODS (BusinessObjects Data Services) for ETL, transformation, and data quality operations Ability to provide functional input for BODS developers - mapping rules, logic, validation Hands-on experience with SAP LSMW - recording, field mapping, conversion rules, batch input methods Understanding of data load processes and best practices for data migration in SAP Strong skills in data validation techniques - pre-load and post-load checks, reconciliation, exception reporting Ability to interpret and analyze SAP data using SE16N, SQVI, and custom reports Ability to document data standards, data definitions, and quality rules Technical skills in exploring, analysing, profiling, manipulating data sets through Excel, Power BI, SAP IS, Tableau etc Good understanding of Ariba, SAP ECC, SAP MDG.

We are looking for a talented and skilled QA Automation Engineer (Python) to join our dynamic team in Bengaluru. As part of the quality assurance team, you will play a key role in developing and executing automated tests, ensuring the quality and reliability of our applications. You should have a strong proficiency in Python, particularly for automation, and be comfortable working with APIs and databases. Responsibilities: - Develop and maintain automation scripts using Python to improve testing efficiency. - Perform API testing and ensure proper validation of REST APIs and their integration with backend systems. - Use SQL for data validation and verification to ensure accuracy across multiple environments. - Utilize the PyTest framework for developing and executing test cases. - Collaborate with developers and other stakeholders to ensure a seamless integration of automated tests. - Analyze large sets of data to identify issues and provide insights on improving system performance. - Write clear, maintainable, and efficient test scripts. - Participate in code reviews, providing feedback to enhance the overall quality of the codebase. - Support continuous integration and continuous delivery (CI/CD) pipelines to enhance software deployment. Qualifications: - 4 + years of experience in QA automation or a similar role. - Strong problem-solving skills with attention to detail. - Excellent communication and collaboration skills to work across teams. - Basic understanding of Selenium for UI automation (preferred but not mandatory)

Role & 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 eClinical Solutions/industry quality standards, regulations, guidelines, and procedures Technical Skills: Knowledge of ICH/GCP guidelines, 21 CFR Part 11 and clinical trial methodology Proficient with EDC and Clinical Data Management Systems Experience with Cloud SaaS platforms (preferred)Experience with data reporting tools such as Qlik, JReview, Spotfire preferred. Experience with RBQM methodology preferred. Exposure to CDISC guidelines and standards Preferred candidate profile: 5+ years’ experience in Clinical Data Management preferred. Bachelor’s degree in a health-related field or equivalent experience preferred. CCDM Certification preferred.

esign, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.

This role involves the development and application of engineering practice and knowledge in the following technologiesDesign of mechanical systems, devices, equipment and machines; installing and maintaining mechanically functioning equipment; simulating a wide range of interactions and evaluate performance in real world scenarios; and develop prototype for manufacturability, testing and validation. - Grade Specific Focus on Mechanical Physical Engineering. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers. Skills (competencies) Active Listening Adaptability Analytical Thinking CAD & Digital Twin DesignGenerative Design & Additive Manufacturing Collaboration Material Science and Recycling Process Material ScienceMetals, Composite, Surface and Nanomaterials Problem Solving Product Digital DesignAutoCAD Product Digital DesignAutodesk Fusion 360 Product Digital DesignCATIA V5 Project Management Project Planning Projects & QCT Management, Supplier Management Rapid DynamicsCrash and Vulnerability Risk Management Scope Management Specification and Management Stakeholder Management Static Stress Analysis Static StressPhysics & Simulation Science Strategic Thinking Sustainability-Electrification Sustainability-Green Hydrogen

This role involves the development and application of engineering practice and knowledge in defining, configuring and deploying industrial digital technologies (including but not limited to PLM and MES) for managing continuity of information across the engineering enterprise, including design, industrialization, manufacturing and supply chain, and for managing the manufacturing data. - Grade Specific Focus on Digital Continuity and Manufacturing. Develops competency in own area of expertise. Shares expertise and provides guidance and support to others. Interprets clients needs. Completes own role independently or with minimum supervision. Identifies problems and relevant issues in straight forward situations and generates solutions. Contributes in teamwork and interacts with customers.

SLT System Implementation and ConfigurationLead the implementation and configuration of the SAP SLT system, including system setup, installation, and configuration of data replication processes. Define and maintain system connections and communication channels with source systems. Data ReplicationDesign and configure data replication processes using SLT technology to ensure real-time and accurate data replication from various source systems, such as SAP ERP, non-SAP databases, or external systems, to the SAP S/4HANA environment. Data Mapping and TransformationCollaborate with stakeholders to understand data requirements and perform data mapping and transformation activities. Define rules and logic for data transformation to align source system data with the target SAP S/4HANA structure and requirements. Data Quality and IntegrityMonitor and ensure the quality and integrity of replicated data. Perform data validation and error handling to identify and resolve data replication issues, data inconsistencies, or data conflicts. System Monitoring and Performance OptimizationMonitor the SLT system and data replication processes for performance, throughput, and system availability. Identify bottlenecks or areas for improvement and implement enhancements to optimize data replication performance Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise QualificationsBachelor’s degree in engineering, Computer Science, Information Systems, or a related field. A master’s degree is a plus. About 7-10 years of experience as a SAP SLT Consultant, working with SAP S/4HANA or SAP ERP systems. Strong knowledge and hands-on experience with SAP SLT technology, including system setup, configuration, and monitoring. Proficient in SAP SLT replication setup, including data modeling, transformation, and data mapping. Experience with data replication from various source systems, such as SAP ERP, non-SAP databases, or external systems. Knowledge of data integration techniques, data validation, error handling, and data quality management Preferred technical and professional experience Familiarity with SAP S/4HANA data structures, data models, and data migration processes. Project management experience, with the ability to manage tasks, prioritize activities, and deliver high-quality results within deadlines. Strong analytical and problem-solving skills, with the ability to troubleshoot data replication issues and implement effective solutions. Excellent communication and interpersonal skills, with the ability to collaborate with cross-functional teams and stakeholders. Project management experience, with the ability to manage tasks, prioritize activities, and deliver high-quality results within deadlines. SAP SLT certification or relevant SAP certifications are highly desirable

Project Role : Product Owner Project Role Description : Drives the vision for the product by being the voice of the customer, following a human-centered design approach. Shapes and manages the product roadmap and product backlog and ensures the product team consistently deliver on the clients needs and wants. Validates and tests ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. Must have skills : Business Analysis Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Product Owner, you will drive the vision for the product by being the voice of the customer, following a human-centered design approach. You will shape and manage the product roadmap and product backlog, ensuring the product team consistently delivers on the clients' needs and wants. Your role involves validating and testing ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. 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 the product development process.- Define and prioritize product features.- Work closely with stakeholders to gather and analyze business requirements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Business Analysis.- Strong communication and interpersonal skills.- Experience in Agile methodologies.- Ability to prioritize and manage multiple tasks.- Good problem-solving skills. Additional Information:- The candidate should have a minimum of 12 years of experience in Business Analysis.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Product Owner Project Role Description : Drives the vision for the product by being the voice of the customer, following a human-centered design approach. Shapes and manages the product roadmap and product backlog and ensures the product team consistently deliver on the clients needs and wants. Validates and tests ideas through recurrent feedback loops to ensure knowledge discovery informs timely direction changes. Must have skills : Commercial Insurance Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Product Owner, you will drive the vision for the product by being the voice of the customer, following a human-centered design approach. Your typical day involves shaping and managing the product roadmap and backlog, ensuring that the product team consistently delivers on client needs and wants. You will validate and test ideas through recurrent feedback loops, ensuring that knowledge discovery informs timely direction changes, ultimately leading to a product that resonates with users and meets market demands. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Facilitate communication between stakeholders and the product team to ensure alignment on product goals.- Analyze market trends and user feedback to inform product decisions and enhancements. Professional & Technical Skills: - Must To Have Skills: Proficiency in Commercial Insurance.- Strong understanding of product management methodologies and frameworks.- Experience with agile development processes and tools.- Ability to create and maintain a prioritized product backlog.- Excellent communication and interpersonal skills to engage with diverse stakeholders. Additional Information:- The candidate should have minimum 3 years of experience in Commercial Insurance.- This position is based at our Pune office.- A 15 years full time education is required. Qualification 15 years full time education