988 Data Validation Jobs - Page 40

Hi, We are hiring for ITES Company for Validation Associate Role. Job description ***Minimum 3 years as Validation Associate is required.*** 1. Data validation test script creation: Create necessary validation scenarios needed to ensure checks are functioning as required and document scenarios in the Data Validation Specification(DVS). Document expected results for each testing scenario. Feedback to the clinical Data Scientist (CDS) any ambiguities in logic that require clarification for testing scenario creation. 2. Data validation test script execution: Entry of test data as specified in each testing scenario Compare the result obtained through entry of the test data to the expected result. Re-execute all checks that do not pass to ensure they are actual failure. Document validation failures. For validation failures due to incorrect testing scenarios, update DVS and re-execute testing scenario. Re-execute and document within the DVS validation results for checks that required programming updates. 3. Validation of the SI data set creation process: Enter data into all study visits and forms. Extract data from InForm into SI datasets Generate list of data within InForm Generate list of data contained within SI datasets Compare InForm listing to the SI dataset listing. Document unexpected inconsistencies between listing. Review time slicing specification against the SI data sets to ensure time slicing variables are being accurately populated. Document incorrect/unexpected time slicing variable assignments. Compare the pre-defined variable values as specified in the DVS against the SI data sets. Document inconsistencies To Apply WhatsApp 'Hi' @ 9151555419 and Follow the Steps Below: a) For Position in Bangalore Search : Validation Associate Bangalore (Job Code # 173) b) For Position in Ahmedabad Search : Validation Associate Ahmedabad (Job Code # 175)

Total Experience : 5- 10 years Relevant Experience 5-7 years Experience working in Agile methodology at large enterprise scale. •Engineering: o Experience in testing data validation scenarios and Data ingestion, pipelines, and transformation processes (e.g.,ETL) o Advanced SQL scripting capabilities o Verify and validate data accuracy, completeness, and consistency using ETL tools and SQL queries o Track record in applying the principles of a software development life cycle. o Experience in testing systems that capture, verify, and maintain field generated metadata. o Familiarity with multiple back-end and front-end languages and libraries, databases, database design, web servers, web services, APIs, and UI/UX design. o Collaborate with developers, data analysts, and business stakeholders to understand business and technical requirements for ETL testing o Knowledge and experience with modern testing development practices and integrated testing products such as selenium, mocha and their integration with tools such as Gitlab, etc • Management: o Excellent communication skills, both oral and written. o Strong customer focus. • Qualifications and Skil o 5-6 years of relevant experience in ETL testing o Experience in strategic development and implementation of Quality Engineering solutions (Automation Frameworks, Performance Validation) for ETL o Experience in Agile Methodology Mandatory Skills SSIS Desirable Skills SQL SERVER

Key Responsibilities DataMart Configuration: Configure and develop DataMart objects such as dynamic tables, feeders, batch of feeders, and scanner templates to support reporting requirements. Report Development: Design and develop custom reports for regulatory, management, and operational purposes, ensuring alignment with business requirements. Data Validation: Perform data validation and reconciliation to ensure accuracy and consistency between Murex DataMart and other reporting systems. Performance Optimization: Analyze and optimize DataMart configurations and report performance to meet business requirements and SLAs. Scheduling and Automation: Utilize scheduling tools like Control-M or Autosys to automate Data Mart processing and report generation. Location: Delhi NCR,Bangalore,Chennai,Pune,Kolkata,Ahmedabad,Mumbai,Hyderabad

Working closely with a world-class R&D team, you ll be at the center of developing and bringing an end-to-end solution to our wide variety of customers in the domain of Silicon Lifecycle Management (SLM). Working closely with customers, you will bring the detailed requirements into the factory to enable R&D for a strong, robust, and successful product development. Working closely with product development team, you will validate and end-to-end solution both internally (before shipment) as well as in customer environment. Driving the deployment and smooth execution of SLM solutions into customers projects. Enabling customers to realize the value of silicon health monitoring throughout the lifecycle of silicon bring-up, validation, through in-field operations. The Impact You Will Have: Enhancing Synopsys Silicon Lifecycle Management (SLM) IP portfolio and end-to-end solution. Driving the adoption of Synopsys SLM solutions at premier customer base worlwide. Influencing the development of next-generation SLM IPs and solutions. What You ll Need: BSEE/MSEE in Electrical Engineering, Computer Engineering, or related field. 4+ years of hands-on experience with SoC-level functional verification or Design-for-Test (DFT) or both. Good knowledge of AXI, APB Background in verification, with at least sub-system level verification Debugging abilities to identify issues in functional verification. Knowledge of DMA, ideally should have verified a sub-system with DMA Knowledge of High-speed IO sub-systems like PCIe and USB A thorough understanding of memory mapping concepts is essential. End to end knowledge of how transactions/data flow between the HSIO interface to/from memory Knowledge and experience with Memory BIST/DFT/ATE/SLT/any other test solutions Ability to evaluate technical suggestions from customers and work with internal teams (product management/R&D) to make decisions Customer facing experience is a plus - educating/guiding customer on technical details of a solution Good to have: Hands-on debug experience of silicon is a plus Some programming experience to write/debug simple drivers in C Detailed knowledge of the PCIe and USB protocols Architecture/micro-architecture experience Working with FPGAs

To support our extraordinary teams who build great products and contribute to our growth, we're looking to add a Technician - GBS Engineering located in Coimbatore. What a typical day looks like: Keeps track of received data and source documents. Prepares and sorts source documents, and identifies and interprets data to be entered. Types process and status reports, and assigns and monitors document numbers. Receives all forms of product documentation (electronic and hard copy). Performs data validation tasks by checking the information vs. alternate data sources. Contacts those preparing source documents to resolve questions, inconsistencies or missing data. Performs data corrections according to direction. Enters alphabetic, numeric or symbolic data from source documents into computer following format displayed on screen, and enters necessary codes. Collects and distributes documentation required for processing Engineering Change Orders (ECOs). Collects and reports process performance metrics. Tracks work completed by customer program for reporting purposes. The experience we're looking to add to our team: Diploma E&TC or Electrical with 0 to 2 years of experience in EMS industries/Process engineering. Should be willing to work in any shift. Here are a few examples of what you will get for the great work you provide: Health Insurance Paid Time Off

Skills Data BA ( We need BA experience along with Data validation / data governance with experience in Capital market (Trade life cycle) and strong SQL) Location – Pune Exp – 4to 8yrs * Strong analytical skills with experience of previously working within an area of Risk, Finance and Treasury. * Ability to individually handle discussions with business areas/SME's and understand high level requirements. * Ability to Elicit, validate and document business requirements in either Business Requirement Documents or user/feature stories depending on the change methodology in use by the development teams. * Strong SQL and data analysis skills using MS Excel or any other tool. * Good knowledge of Banking as a function with considerable exposure to domains like risk and trade. * Adept at using MS Office products like Visio and other software packages relevant to BA work like Toad, Hue * Proficiency in using Agile as a requirements gathering and SDLC tool. * Good understanding of ETL tools and processes is desirable but not mandatory. * Proficiency in understanding data validation and control principles. * Exposure to establishing data lineage for business critical data elements from the perspective of data governance * Knowledge about data quality and validation * Business Analysis Accreditation(s) would be beneficial.Role & responsibilities Preferred candidate profile

Mid Sr. Data Engineers - (5-8 years of relevant exp) a. Own and execute the entire Data Transformation from Snowflake to Azure Synapse instance b. Implement missing metrics and adapt existing ones. c. Set up version control and establish the refresh schedule. d. Create a data quality framework for validation and monitoring Note : Interested professional can share their resume to raghav.b@aciinfotech.com

Expertise with at least one Object Oriented JavaScript Framework (React, Angular, Ember, Dojo, Node etc.) Good to have handson experience in Python development Proficiency with Object Oriented Programming, multithreading, data serialization and REST API to connect applications to backend services. Proficiency in Docker, Kubernetes (k8s), Jenkins, and GitHub Actions is essential for this role. Proven cloud development experience AWS. Understanding of IT life cycle methodology & processes. Experience in understanding and Leading Enterprise Platform /Solutions Experience working with Microservices/Service Oriented Architecture Frameworks Good Understanding on Middleware technologies Possess expertise in at least one unit testing framework Mandatory skill sets React JS, Node Preferred skill sets React JS, Node

As a Junior/Senior Data Engineer, youll be taking the lead in designing and maintaining complex data ecosystems. Your experience will be instrumental in optimizing data processes, ensuring data quality, and driving datadriven decisionmaking within the organization. Architecting and designing complex data systems and pipelines. Leading and mentoring junior data engineers and team members. Collaborating with crossfunctional teams to define data requirements. Implementing advanced data quality checks and ensuring data integrity. Optimizing data processes for efficiency and scalability. Overseeing data security and compliance measures. Evaluating and recommending new technologies to enhance data infrastructure. Providing technical expertise and guidance for critical data projects. Required skills & experience Proficiency in designing and building complex data pipelines and data processing systems. Leadership and mentorship capabilities to guide junior data engineers and foster skill development. Strong expertise in data modeling and database design for optimal performance. Skill in optimizing data processes and infrastructure for efficiency, scalability, and costeffectiveness. Knowledge of data governance principles, ensuring data quality, security, and compliance. Familiarity with big data technologies like Hadoop, Spark, or NoSQL. Expertise in implementing robust data security measures and access controls. Effective communication and collaboration skills for crossfunctional teamwork and defining data requirements. Skills Cloud Azure/GCP/AWS DE Technologies ADF, Big Query, AWS Glue etc., Data Lake Snowflake, Data Bricks etc., Mandatory skill sets Cloud Azure/GCP/AWS DE Technologies ADF, Big Query, AWS Glue etc., Data Lake Snowflake, Data Bricks etc. Preferred skill sets Cloud Azure/GCP/AWS DE Technologies ADF, Big Query, AWS Glue etc., Data Lake Snowflake, Data Bricks etc. Education qualification BE/BTECH, ME/MTECH, MBA, MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required Master of Engineering, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred Required Skills Microsoft Azure Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation, Data Validation

Job Title Python Developer Responsibilities A day in the life of an Infoscion As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Technology Leads and Project Managers. You would be a key contributor to building efficient programs/ systems and if you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you!If you think you fit right in to help our clients navigate their next in their digital transformation journey, this is the place for you! Technical and Professional Requirements: Primary skills:Technology->Machine Learning->Python Preferred Skills: Technology->Machine Learning->Python Additional Responsibilities: Knowledge of design principles and fundamentals of architecture Understanding of performance engineering Knowledge of quality processes and estimation techniques Basic understanding of project domain Ability to translate functional / nonfunctional requirements to systems requirements Ability to design and code complex programs Ability to write test cases and scenarios based on the specifications Good understanding of SDLC and agile methodologies Awareness of latest technologies and trends Logical thinking and problem solving skills along with an ability to collaborate Educational Requirements Bachelor of Engineering Service Line Information Systems* Location of posting is subject to business requirements

Management Level :07- I&F Decision Sci Practitioner Manager Location :Mumbai Must-have skills :Risk Analytics, Model Development, Validation, and Auditing, Performance Evaluation, Monitoring, Governance, Statistical Techniques:Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Programming Languages:SAS, R, Python, Spark, Scala, Tools:Tableau, QlikView, PowerBI, SAS VA, Regulatory Knowledge:Basel/CCAR/DFAST/CECL/IFRS9, Risk Reporting and Dashboard Solutions Good to have skills :Advanced Data Science Techniques, AML, Operational Risk Modelling, Cloud Platform Experience (AWS/Azure/GCP), Machine Learning Interpretability and Bias Algorithms Job Summary We are seeking a highly skilled I&F Decision Sci Practitioner Manager to join the Accenture Strategy & Consulting team in the Global Network – Data & AI practice. You will be responsible for leading risk model development, validation, and auditing activities, ensuring performance evaluation, monitoring, governance, and documentation. This role also provides opportunities to work with top financial clients globally, utilizing cutting-edge technologies to drive business capabilities and foster innovation. Roles & Responsibilities: Engagement Execution Lead the team in the development, validation, governance, strategy, transformation, implementation, and end-to-end delivery of risk solutions for clients. Manage workstreams for large and small projects, overseeing the quality of deliverables for junior team members. Develop and frame Proof of Concept for key clients where applicable. Practice Enablement Mentor, guide, and counsel analysts and consultants. Support the development of the practice by driving innovations and initiatives. Support efforts of sales team to identify and win potential opportunities by assisting with RFPs, RFI. Assist in designing POVs, GTM collateral. Professional & Technical Skills: 7-12 years of relevant Risk Analytics experience at one or more Financial Services firms or Professional Services / Risk Advisory with significant exposure to: Credit Risk :PD/LGD/EAD Models, CCAR/DFAST Loss Forecasting, Revenue Forecasting Models, IFRS9/CECL Loss Forecasting across Retail and Commercial portfolios. Credit Acquisition/Behavior :Modeling, Credit Policies, Limit Management, Acquisition Frauds, Collections Agent Matching/Channel Allocations across Retail and Commercial portfolios. Regulatory Capital and Economic Capital Models Liquidity Risk :Liquidity Models, Stress Testing Models, Basel Liquidity Reporting Standards Anti-Money Laundering (AML) :AML Scenarios/Alerts, Network Analysis Operational Risk :AMA Modeling, Operational Risk Reporting Modeling Techniques :Linear Regression, Logistic Regression, GLM, GBM, XGBoost, CatBoost, Neural Networks, Time Series (ARMA/ARIMA), ML Interpretability and Bias Algorithms Programming Languages & Tools :SAS, R, Python, Spark, Scala, Tableau, QlikView, PowerBI, SAS VA Strong understanding of Risk functions and their application in client discussions and project implementation. Additional Information: Master's Degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities Industry Certifications :FRM, PRM, CFA preferred Excellent Communication and Interpersonal Skills About Our Company | Accenture Qualification Experience :Minimum 7-12 years of relevant Risk Analytics experience, Exposure to Financial Services firms or Professional Services/Risk Advisory Educational Qualification :Master’s degree in a quantitative discipline (mathematics, statistics, economics, financial engineering, operations research) or MBA from top-tier universities, Industry certifications such as FRM, PRM, CFA preferred

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Automotive Mobility Services & Connected Vehicles Good to have skills : NA Minimum 15 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems either end-to-end or for a specific stage of the product lifecycle. You will apply knowledge of technologies, applications, methodologies, processes, and tools to support a client, project, or entity. Your role will involve leading software development projects and ensuring their successful completion. Roles & Responsibilities: Test Strategy & Architecture:Define and implement a comprehensive system test strategy for ADAS features, covering functional, performance, and safety validation.-Test Framework Development:Design and oversee test automation frameworks, simulation environments, and hardware-in-the-loop (HiL) systems for ADAS validation.-System Validation & Compliance:Ensure compliance with ISO 26262 (Functional Safety), ASPICE, SOTIF (ISO 21448), and other relevant automotive standards through rigorous system testing.-Cross-functional Leadership:Collaborate with software, hardware, safety, and integration teams to align testing requirements and resolve system issues.-Test Execution & Reporting:Oversee test execution, defect tracking, root cause analysis, and reporting to drive continuous improvements in ADAS systems.-Supplier & Toolchain Management:Evaluate and integrate third-party test tools, suppliers, and validation partners to enhance testing capabilities.-Innovation & Best Practices:Stay ahead of industry trends, adopt AI/ML-based testing techniques, and optimize test methodologies to improve efficiency.-Team Management:Lead and mentor a team of system test engineers, driving excellence in ADAS validation and ensuring alignment with business goals. Professional & Technical Skills: Bachelor's or master's degree in electrical engineering, Computer Science, Automotive Engineering, or a related field.-15+ years of experience in system testing, validation, and verification of ADAS or Autonomous Driving solutions.-Strong understanding of sensor technologies (LiDAR, Radar, Camera, Ultrasonic) and their validation methodologies.-Hands-on experience with test automation frameworks, HiL, SiL, and DiL environments.-Expertise in automotive communication protocols (CAN, LIN, Ethernet, AUTOSAR, etc.).-In-depth knowledge of ISO 26262, ASPICE, and SOTIF for system safety validation.-Proficiency in Python, C++, MATLAB, or other scripting languages for test automation.-Experience in cloud-based simulation and AI-driven testing approaches is a plus.-Strong leadership, problem-solving, and stakeholder management skills.Preferred Certifications:-ISTQB Advanced Level – Test Manager or equivalent certification.-SAFe or Agile Certification is an added advantage. Additional Information: The candidate should have a minimum of 15 years of experience in Automotive Mobility Services & Connected Vehicles. This position is based at our Bengaluru office. A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Sustainability Footprint Management SFM Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary : We are looking for a highly skilled and detail-oriented SAP Sustainability Footprint Manager to oversee the implementation and management of SAP tools and solutions that track and reduce the company's environmental footprint. The ideal candidate will be responsible for leveraging SAP software to monitor and manage sustainability data, including carbon emissions, energy usage, water consumption, and waste. You will work closely with the IT department, sustainability team, and business units to integrate SAP sustainability solutions that align with our corporate sustainability goals. Roles & Responsibilities: Implement, configure, and manage SAP solutions (e.g., SAP Environment, Health, and Safety (EH&S), SAP S/4HANA Sustainability, SAP Green Ledger, etc.) to track and manage the company's sustainability footprint. Lead the setup and integration of SAP systems for carbon footprint calculation, energy tracking, waste management, and other sustainability metrics. Ensure data integrity and accuracy across sustainability systems integrated into SAP platforms. Configure SAP sustainability modules to collect and report data related to carbon emissions, energy use, water usage, waste, and other key environmental metrics. Prepare and deliver sustainability reports leveraging SAP tools to meet internal and external reporting requirements (e.g., GHG emissions reports, sustainability disclosures). Coordinate the extraction, validation, and analysis of data from SAP to provide insights into sustainability performanceWork with internal IT teams and external vendors to ensure SAP solutions are integrated with other business systems (e.g., procurement, supply chain, and production) for accurate sustainability data. Customize SAP systems to align with evolving sustainability reporting frameworks and environmental regulations. Sustainability Strategy Alignment:Collaborate with the sustainability team to align SAP sustainability solutions with corporate sustainability goals, including carbon reduction targets, resource optimization, and waste reduction initiatives Professional & Technical Skills: Proven experience with SAP configurations, integration, and customization for sustainability solutions. Strong understanding of sustainability reporting frameworks, including GHG Protocol, CDP, and GRI. Experience with data management, analysis, and reporting for sustainability metrics. Ability to communicate complex technical information to non-technical stakeholders. Strong project management skills, with experience leading cross-functional teams Additional Information: SAP certifications (e.g., SAP Certified Application Associate – SAP S/4HANA for Sustainability). Sustainability certifications such as LEED, ISO 14001, or GHG Protocol. Minimum 15years of regular education Qualification 15 years full time education