876 Data Validation Jobs

JD: Perform manual user access review and access control matrix review periodically. Reconciliation, validation of data, rectification of observations before sharing them with any auditors Publish periodic dashboards about review and ongoing audit updates to management Execute and deliver automation projects end to end Face various internal and external auditors. Provide evidence, data, and resolution on observations and process improvement to avoid further observations A team player with good communication skills Proficient in excel and power-point Adaptive in learning new skills Python knowledge will be added advantage

When our values align, there's no limit to what we can achieve. At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference. Knowledge and Experience: • Minimum of 2 years experience in quality assurance, auditing, including sound experience of applicable GxP auditing • At least 5 years’ experience in regulatory affairs, clinical research, monitoring, data management, safety/pharmacovigilance, pharmacy, laboratory, or other relevant area in life science such as technology, third party supplier management. Excellent knowledge, understanding and experience of Good Practices (GxPs) and international, national and local regulations and laws related to clinical trials and other clinical research Education: • Educated to degree level (technology, biological science, pharmacy or other health related discipline preferred) or equivalent qualification or clinical research experience • Master’s degree in a science, technology or industry related discipline, preferred

Key Deliverables: Maintain and validate master data across SAP and related platforms Monitor data quality, compliance metrics, and reporting dashboards Support data migration and integration efforts in supply chain systems Enable data-driven decisions through root cause analysis and enrichment Role Responsibilities: Collaborate with cross-functional teams for data issue resolution Train stakeholders on data tools, standards, and governance practices Perform ongoing cleansing and optimization of large datasets Ensure accuracy and alignment of data with enterprise-wide processes

The Data Scientist-3 in Bangalore (or Mumbai) will be part of the 811 Data Strategy Group that comprises Data Engineers, Data Scientists and Data Analytics professionals. He/she will be associated with one of the key functional areas such as Product Strategy, Cross Sell, Asset Risk, Fraud Risk, Customer Experience etc. and help build robust and scalable solutions that are deployed for real time or near real time consumption and integrated into our proprietary Customer Data Platform (CDP). This is an exciting opportunity to work on data driven analytical solutions and have a profound influence on the growth trajectory of a super fast evolving digital product. Key Requirements of The Role Advanced degree in an analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis) or substantial hands on work experience in the space 7 - 10 Years of relevant experience in the space Expertise in mining AI/ML opportunities from open ended business problems and drive solution design/development while closely collaborating with engineering, product and business teams Strong understanding of advanced data mining techniques, curating, processing and transforming data to produce sound datasets. Strong experience in NLP, time series forecasting and recommendation engines preferred Create great data stories with expertise in robust EDA and statistical inference. Should have at least a foundational understanding in Experimentation design Strong understanding of the Machine Learning lifecycle - feature engineering, training, validation, scaling, deployment, scoring, monitoring, and feedback loop. Exposure to Deep Learning applications and tools like TensorFlow, Theano, Torch, Caffe preferred Experience with analytical programming languages, tools and libraries (Python a must) as well as Shell scripting. Should be proficient in developing production ready code as per best practices. Experience in using Scala/Java/Go based libraries a big plus Very proficient is SQL and other relational databases along with PySpark or Spark SQL. Proficient is using NoSQL databases. Experience in using GraphDBs like Neo4j a plus. Candidate should be able to handle unstructured data with ease. Candidate should have experience in working with MLEs and be proficient (with experience) in using MLOps tools. Should be able to consume the capabilities of said tools with deep understanding of deployment lifecycle. Experience in CI/CD deployment is a big plus. Knowledge of key concepts in distributed systems like replication, serialization, concurrency control etc. a big plus Good understanding of programming best practices and building code artifacts for reuse. Should be comfortable with version controlling and collaborate comfortably in tools like git Ability to create frameworks that can perform model RCAs using analytical and interpretability tools. Should be able to peer review model documentations/code bases and find opportunities Experience in end-to-end delivery of AI driven Solutions (Deep learning , traditional data science projects) Strong communication, partnership and teamwork skills Should be able to guide and mentor teams while leading them by example. Should be an integral part of creating a team culture focused on driving collaboration, technical expertise and partnerships with other teams Ability to work in an extremely fast paced environment, meet deadlines, and perform at high standards with limited supervision A self-starter who is looking to build grounds up and contribute to the making of a potential big name in the space Experience in Banking and financial services is a plus. However, sound logical reasoning and first principles problem solving are even more critical A typical day in the life of the job role: 1. As a key partner at the table, attend key meetings with the business team to bring in the data perspective to the discussions 2. Perform comprehensive data explorations around to generate inquisitive insights and scope out the problem 3. Develop simplistic to advanced solutions to address the problem at hand. We believe in making swift (albeit sometimes marginal) impact to business KPIs and hence adopt an MVP approach to solution development 4. Build re-usable code analytical frameworks to address commonly occurring business questions 5. Perform 360-degree customer profiling and opportunity analyses to guide new product strategy. This is a nascent business and hence opportunities to guide business strategy are plenty 6. Guide team members on data science and analytics best practices to help them overcome bottlenecks and challenges 7. The role will be an approximate 60% IC 40% leading and the ratios can vary basis need and fit 8. Develop Customer-360 Features that will be integrated into the Customer Data Platform (CDP)

Collaborate with the project teams in tandem to understand their requirements Keeping a check over project requirement fulfilment and meeting deadlines Define and write data cleaning program Support additional data requirements Responsible for making project specific script Responsible for quality check of final output Maintain comprehensive documentation relating to project 3-5 years of relevant data processing experience Hand on experience working on analysis tools like SPSS for Data Validation and Quantum for tabulations, Excel, VBA, etc. Willing to learn new data analysis tools

Adani Hospitals is looking for Executive to join our dynamic team and embark on a rewarding career journey Understand customer needs and requirements to develop effective quality control processes Devise and review specifications for products or processes Set requirements for raw material or intermediate products for suppliers and monitor their compliance Ensure adherence to health and safety guidelines as well as legal obligations Supervise inspectors, technicians and other staff and provide guidance and feedback Oversee all product development procedures to identify deviations from quality standards Inspect final output and compare properties to requirements Approve the right products or reject defectives Keep accurate documentation and perform statistical analysis Solicit feedback from customers to assess whether their requirements are met Submit detailed reports to appropriate executives Be on the lookout for opportunities for improvement and develop new efficient procedures Quality Executive MBA / MHA

Translate business goals into technical requirements and user stories. Define workflows, logic, and functional specifications. Create PRDs, wireframes, and Figma designs for development. Collaborate with developers, clarify queries, and ensure delivery quality. Write test cases, conduct user testing, and ensure bug resolution. Run SQL queries for data validation and troubleshooting. Requirements 2-3 years experience as a BA or Product Owner in a tech company. Solid understanding of web/mobile platforms & UI/UX principles. Hands-on with Figma, SQL, and working knowledge of MongoDB. Excellent documentation and communication skills. Ability to work independently and prioritize tasks. Basic coding skills and familiarity with AI tools are strong pluses. Benefits Able to work in a competitive world and get a competitve salary

Required_Skills":[{"level":80 , "last_used":"2025" , "name":"Advanced SQL , ETL , Query Optimization Manage end-to-end data pipelines, ensuringseamless flow and integrity of data from diverse sources to analytical systems Collaborate with data scientists, analysts,and business teams to understand data needs and develop efficient solutions. Implementrobust data governance practices to maintain data quality standards andfacilitate reliable analysisand reporting Conductthorough data validation procedures to ensure accuracy and reliability ofanalytical outputs Monitordata systems and pipelines, troubleshoot issues, and ensure the continuousavailability of data Ensure data quality, integrity, andconsistency across different data sources and storage systems Optimize data flow and storage processes forperformance and scalability. Requirements Must Have... At least 2-4 years of experience working inthe field of analytics, reporting out metrics and deep dive analytics. Strong proficiency with Advanced SQL (WindowFunctions, DML Commands, DDL Commands, CTES, Sub Queries, etc) Expertise in building end to end datapipelines and ETL frameworks & tools Ability to write complex queries andunderstanding of database concepts. Strong understanding of data modelling,schema design, and database optimization techniques Knowledgeof version control (e.g., Git) and collaborative development practices. Exceptionalcommunication and collaboration skills. Nice to have... Exposureto broader analytics ecosystem Experiencewith data lake architectures and big data technologies. Education Bachelor degree in computer science,Engineering, or a related field. At least 2-4 years of relevant experience inanalytics organizations of large corporates or in consulting companies inanalytics roles.

We are seeking a detail-oriented and analytical Data Manager with at least 3 years of experience to oversee data operations and ensure efficient data handling, integrity, and accessibility. The ideal candidate will possess strong technical expertise in Excel, SQL, Python, and Power BI , and will play a key role in supporting business decisions through data analysis, reporting, and process improvement. Key Responsibilities: Manage, maintain, and ensure the integrity of large data sets across various platforms. Develop and automate reports and dashboards using Power BI for real-time decision-making. Write and optimize SQL queries to extract and manipulate data from relational databases. Use Python for data cleaning, analysis, and building automation tools. Perform data validation and quality checks to ensure accurate business intelligence reporting. Collaborate with cross-functional teams to understand data needs and provide analytical support. Establish data governance protocols and ensure data security and compliance. Train team members and stakeholders on best practices in data handling and visualization. Required Skills & Qualifications: Bachelors degree in Computer Science, Data Analytics, Information Systems, or a related field. Minimum 3 years of experience in a data management or data analysis role. Proficient in Microsoft Excel , including advanced functions and data modeling. Strong knowledge of SQL for data manipulation and extraction. Experience with Python for scripting and data processing (pandas, numpy, etc.). Proficiency in Power BI for creating dashboards and visual reports. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Familiarity with data governance, privacy, and compliance standards.

Designation Accounts Executive Years of Experience 1 to 3 Years Client - Toyota Kirloskar Motors (On rolls of Pierian Services) Location Bidadi, Bangalore Transportation Yes, 2 ways free transportation available Canteen – Yes, Free canteen facility available Roles and Responsibilities Automobile basics Technical report generation Data analysis & reporting Good Communication Team Player Evaluate products based on quality standards and customer requirements. Maintain accurate documentation of testing results and findings. Collaborate with cross-functional teams to resolve issues related to product development. Perform data validation to ensure accuracy of manufacturing records. Conduct vehicle evaluation to identify defects and provide feedback to production team. External driving license

Job Title: Salesforce Developer Location: Baner (Pune) (Completely Work from Office) iSource Services is hiring for one of their client for the position of Salesforce Developer. Admin,PD1 Certification Hands-on experience on Sales, Service , Experience Cloud implementation. Must have Basics of Salesforce Sales process, Pricebook , Sales cycle, Quote etc. Experience in Salesforce Lightning Web Component (LWC) Lightning Design System, Lightning App Builder and Lightning Component features. Experience in Administration, Configuration, Implementation, Lightning, and experience with Salesforce platform. Experience in Salesforce Customization, Security Access, Workflow Approvals, Data Validation, data utilities. Sound knowledge in Salesforce Security Model and Data Model. Expertise in SFDC Development using LWC, Lightning Application, Apex Language, VisualForce pages, Classes, Controllers, Triggers, Indexes, Web Services, Components, Tabs, Apex Web services, Custom Objects, Reports, Analytic Snapshots and Dashboards, Profiles, Creating Roles, Page Layouts, Org - Wide default, Sharing rules, Workflows. Experience in implementing Salesforce SOQL, SOSL and dynamic queries in Apex logic. Experience Lightning Process builder flows, Flows, Chatter and quick Action. Experience in Integration Methodologies, different API, Trigger framework, Recursive Triggers, VF Remoting, Asynchronous Framework Batch jobs, Queueable Apex, Future methods. Experience in debugging the code for troubleshooting the issues. Skills : - Sales, Service, Cloud implementation, Salesforce Sales process, Pricebook , Sales cycle, LWC, Salesforce Customization, Security Access, Workflow Approvals, Data Validation, data utilities, Lightning App Builder, Salesforce platform, Apex Language, Web Services, API

Python Developer Location:Gurgaon Time Zone: Work from Office Duration: Full-time Requirements: - 57 years of backend development experience. - Refactoring legacy applications. - Strong ANSI SQL and DB interaction. - Experience with Git, CI/CD, and Agile methodologies. - Python 3.x, Pandas, SQLAlchemy, PyODBC. - Data validation, integration, and test automation scripting

Candidate will be responsible for developing and managing BI solutions, building reports, and providing insights through data visualization by Microsoft Power BI. The role requires a basic understanding of financial data and the ability to translate complex business requirement into intuitive reports and dashboard. : Develop, design, and implement Power BI dashboards and reports that provide actionable insights into data. Develop, maintain, and optimize SSAS models (Tabular). Design and develop complex SQL queries, stored procedures, views, and functions. Write DAX queries and functions for advanced calculations and data manipulation. Optimize Power BI reports for performance and scalability. Ensure data accuracy and integrity by implementing best practices in data validation and error handling. Automate data refresh schedules and ensure real-time data availability. Collaborate with stakeholders to gather requirements and provide reporting solutions. Troubleshoot issues related to data sources, models, and reports. Maintain Power BI documentation and user guides. Keep up to date with the latest trends and features in Power BI and other related technologies to continuously improve reporting and analytics capabilities. Develop and manage Power BI Solution to meet business needs. Design and create interactive dashboard and reports. Build Data models and DAX formula. Connect to various data sources and extract data. Work with stakeholders to understand their Requirements and translate them into technical specifications. Troubleshoot and debug Power BI Solution. Optimize data models for performance and scalability. Should have knowledge and experience in prototyping, designing and requirement analysis. Strong understanding of data modelling and DAX. Ability to work independently and as a part of team. Excellent communication and presentation skills. Develop, test and operationalize Power BI semantic data models. Document data models, BI solutions, and development processes. Must have skills: Power BI Service, SQL, SSAS, DAX, Power Query (M Query), Data Modelling. Qualifications Qualifications B.E, B.Tech, M.Tech, MCA. 3+ years of experience as a Power BI Developer. Strong proficiency in Power BI, including dashboard design, data modeling, and report development. Experience working with Power Query. Expertise in DAX (Data Analysis Expressions) for advanced data calculations and transformations. Familiarity with SQL for data extraction, manipulation, and querying. Strong expertise in SSAS (Tabular) Proficiency in SQL Server, T-SQL, and database development. Experience working with financial datasets, ERP systems, and financial reporting. Knowledge of finance related KPIs, metrics, and reporting structures.

Company Overview BOLD is an established and fast-growing product company that transforms work lives. Since 2005,weve helped more than 10,000,000 folks from all over America(and beyond!) reach higher and do better. A career at BOLD promises great challenges, opportunities, culture and the environment. With our headquarters in Puerto Rico and offices in San Francisco and India, were a global organization on a path to change the career industry Key Responsibilities •Work with Business Analysts, BI Developers to translate Business requirements into Test Cases •Responsible for validating the data sources, extraction of data, applying transformation logic, and loading the data in the target tables. •Designing, documenting and executing test plans, test harness, test scenarios/scripts & testcases for manual, automated & bug tracking tools. Required Skills •Experience in Data Warehousing / BI Testing, using any ETL and Reporting Tool •Extensive experience in writing and troubleshooting SQL Queries using any of the Databases Snowflake/ Redshift / SQL Server / Oracle •Exposure to Data Warehousing and Dimensional Modelling Concepts •Experience in understanding of ETL Source to Target Mapping Document •Experience in testing the code on any of the ETL Tools •Experience in Validating the Dashboards / Reports on any of the Reporting tools Sisense /Tableau / SAP Business Objects / MicroStrategy •Hands-on experience and strong understanding of Software Development Life Cycle (SDLC)and Software Testing Life Cycle (STLC). •Good experience of Quality Assurance methodologies like Waterfall, V-Model, Agile, Scrum. •Well versed with writing detailed test cases for functional & non-functional requirements. •Experience on different types of testing that includes Black Box testing, Smoke testing, Functional testing, System Integration testing, End-to-End Testing, Regression testing & User Acceptance testing (UAT) & Involved in Load Testing, Performance Testing & Stress Testing. •Expertise in using TFS / JIRA / Excel for writing the Test Cases and tracking the •Exposure in scripting languages like Python to create automated Test Scripts or Automated tools like Query Surge will be an added advantage •An effective communicator with strong analytical abilities combined with skills to plan, implement & presentation of projects

Fine-tune Large Language Models (LLMs) on custom datasets for specialized reasoning tasks. Design and run benchmarking pipelines across accuracy, speed, token throughput, and energy efficiency. Implement quantization, pruning , and distillation techniques for model compression and deployment readiness. Evaluate and extend agentic RAG (Retrieval-Augmented Generation) pipelines and reasoning agents. Contribute to SOTA model architectures for multi-hop, temporal, and multimodal reasoning. Collaborate closely with the data engineering, infra, and applied research teams to bring ideas from paper to production. Own and drive experiments, ablations , and performance dashboards end-to-end. Requirements 3+ years of hands-on experience working with deep learning and large models, particularly LLMs . Strong understanding of PyTorch internals : autograd, memory profiling, efficient dataloaders, mixed precision. Proven track record in fine-tuning LLMs (e.g., LLaMA, Falcon, Mistral, Open LLaMA, T5, etc.) on real-world use cases. Benchmarking skills : can run standardized evals (e.g., MMLU, GSM8K, HELM, TruthfulQA) and interpret metrics. Deep familiarity with quantization techniques : GPTQ, AWQ, QLoRA, bitsandbytes, and low-bit inference. Working knowledge of Hugging Face ecosystem (Transformers, Accelerate, Datasets, Evaluate). Active Hugging Face profile with at least one public model/repo published. Experience in training and optimizing multi-modal models (vision-language/audio) is a big plus. Published work (arXiv, GitHub, blogs) or open-source contributions preferred.

About 1Lattice At 1Lattice , we are a business decision-support partner offering a comprehensive, tech-enabled services stack that includes data, research, and a global expert network. Our integrated product suite helps clients make smarter decisions from input gathering to execution and measurement.We work with organizations across industries and geographies, solving complex business and organizational challenges through research-driven, actionable insights. Role Overview We are looking for a detail-oriented and proactive Quality Control Lead to oversee the quality assurance process for our research projects both quantitative and qualitative. This role is crucial to ensuring our deliverables meet high standards of accuracy, consistency, and client expectations. Key Responsibilities Oversee the end-to-end quality check process across all research studies. Ensure projects meet internal and client-specific quality standards . Audit data collected through fieldwork, coding, and data entry for accuracy and consistency . Collaborate with project managers, field teams, and data units to identify and resolve quality issues . Create, update, and manage quality checklists and SOPs . Mentor and train junior quality team members for skill and performance improvement. Key Performance Indicators Data Accuracy: Ensure 98% accuracy in all reviewed datasets. Timely QC: Complete quality checks within 24 48 hours of data submission. Compliance: Maintain 95% adherence to internal and client-specific QC standards. Error Resolution: Address and resolve errors within 12 hours of escalation. Project Coverage: Review 100% of assigned surveys/projects on time. Training Impact: Conduct quarterly QC training sessions with at least 85% positive feedback . What We re Looking For Experience in quality control within the market research or consulting space. Strong understanding of data validation techniques , especially for survey-based research. Ability to manage multiple projects with precision and within tight timelines. Excellent communication, collaboration, and problem-solving skills. Proficiency in Microsoft Excel and quality management tools.

As a BI/DW Developer (Software Engineer), your responsibilities are to: 1. Design and implement scalable ETL/ELT pipelines using tools like SQL, Python, or Spark. 2. Build and maintain data models and data marts to support analytics and reporting use cases. 3. Develop, maintain, and optimize dashboards and reports using BI tools such as Power BI, Tableau, or Looker. 4. Collaborate with stakeholders to understand data needs and translate them into technical requirements. 5. Perform data validation and ensure data quality and integrity across systems. 6. Monitor and troubleshoot data workflows and reports to ensure accuracy and performance. 7. Contribute to the data platform architecture, including database design and cloud data infrastructure. 8. Mentor junior team members and promote best practices in BI and DW development. Skills we re looking for : Strong proficiency in SQL and experience working with large-scale relational databases (e.g., Snowflake, Redshift, BigQuery, PostgreSQL). Experience with modern ETL/ELT tools such as dbt, Apache Airflow, Talend, Informatica, or custom pipelines using Python. Proven expertise in one or more BI tools (Power BI, Tableau, Looker, etc.). Solid understanding of data warehousing concepts, dimensional modeling, and star/snowflake schemas. Strong problem-solving skills and attention to detail. Good verbal communication skills in English. Delivery focused, a go-getter! Work experience requirements : 4-8 years in BI/DW or Data Engineering roles Exposure to machine learning workflows or advanced analytics is a plus Whom this role is suited for: Available to join asap, and work from the Kochi office Experience in start-up environments preferred Job Location: Carnival Infopark, Kochi Please attach your resume to the mail* We will handle your personnal data as described in our Privacy Policy.

Minimum qualifications:. Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience.. 3 years of experience with functional tests for silicon validation (e.g., C, C++ or Python) or developing embedded software.. Experience in silicon bring up, functional validation, characterizing, and qualifying silicon.. Experience with board schematics, layout, and debug methodologies using lab equipment.. Preferred qualifications:. Experience in hardware/software integration (i.e. pre-silicon use of emulation and software-based test and diagnostics development).. Experience in scripting languages, such as Python for Automation development.. Experience with Power Characterization, PCIe, DDR.. Experience in RTL design, verification or emulation.. Knowledge of SoC architecture, including boot flows.. About the jobIn this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You’ll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.. In this role, you will be responsible for post-silicon validation of the Cloud TPU projects. You will create test plans and test content for exercising the various subsystems in the AI/ML SoC, verify the content on pre-silicon platforms, execute the tests on post-silicon platforms, and triage and debug issues. You will work closely with engineers from architecture, design, design verification, and software/firmware teams. You will be validating the functional, power, performance, and electrical characteristics of the Cloud Tensor Processing Unit (TPU) silicon to help deliver quality designs for next generation data center accelerators.Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.. Responsibilities. Develop and execute tests in post-silicon validation and on HW emulators and assist in bring-up processes from prototyping through post-silicon validation.. Drive debugging and investigation efforts to root-cause cross-functional issues. This includes pre-silicon prototyping platforms as well as post-silicon bring up and production.. Ensure validation provides necessary functional coverage for confident design.. Help operate and maintain our hardware emulation platform for pre-silicon integration and validation.. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .. Show more Show less

hackajob is collaborating with Comcast to connect them with exceptional tech professionals for this role.. Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.. Job Summary. We are looking for an experienced and proactive ETL Lead to oversee and guide our ETL testing and data validation efforts. This role requires a deep understanding of ETL processes, strong technical expertise in tools such as SQL, Oracle, MongoDB, AWS, and Python/Pyspark, and proven leadership capabilities. The ETL Lead will be responsible for ensuring the quality, accuracy, and performance of our data pipelines while mentoring a team of testers and collaborating with cross-functional stakeholders.. Job Description. Key Responsibilities:. Lead the planning, design, and execution of ETL testing strategies across multiple projects.. Oversee the development and maintenance of test plans, test cases, and test data for ETL processes.. Ensure data integrity, consistency, and accuracy across all data sources and destinations.. Collaborate with data engineers, developers, business analysts, and project managers to define ETL requirements and testing scope.. Mentor and guide a team of ETL testers, providing technical direction and support.. Review and approve test deliverables and ensure adherence to best practices and quality standards.. Identify and resolve complex data issues, bottlenecks, and performance challenges.. Drive continuous improvement in ETL testing processes, tools, and methodologies.. Provide regular status updates, test metrics, and risk assessments to stakeholders.. Stay current with emerging trends and technologies in data engineering and ETL testing.. Requirements. 6+ years of experience in ETL testing, with at least 2 years in a lead or senior role.. Strong expertise in ETL concepts, data warehousing, and data validation techniques.. Hands-on experience with Oracle, MongoDB, AWS services (e.g., S3, Redshift, Glue), and Python/Pyspark scripting.. Advanced proficiency in SQL and other query languages.. Proven ability to lead and mentor a team of testers.. Excellent problem-solving, analytical, and debugging skills.. Strong communication and stakeholder management abilities.. Experience with Agile/Scrum methodologies is a plus.. Ability to manage multiple priorities and deliver high-quality results under tight deadlines.. Disclaimer. This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.. Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.. Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality to help support you physically, financially and emotionally through the big milestones and in your everyday life.. Education. Bachelor's Degree. While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.. Relevant Work Experience. 7-10 Years. Show more Show less

Job Summary. Hands-on experience in defining data migration strategy, governance and data modelling Developed data platform accelerators and automation tool for data validation and dashboarding in Databricks Hands-on in ideating, designing and developing AI solutions in Azure cloud platform – Azure AI Search, Knowledge Mining, Generative AI OpenAI services. Show more Show less

As a Principal Engineer in Arms Productivity Engineering team you will be at the forefront of enabling Arm’s product development by driving automation, efficiency, and quality through structured, machine-readable specifications!. You will lead efforts to eliminate manual translations of specifications, enabling shift-left methodologies, reducing engineering waste, and accelerating time-to-market. Your work will significantly impact our engineering teams and partners by improving IP integration, verification, and system enablement.. What will I be accountable for?. Join an innovative team which is passionate about developing and supporting tools, methodologies and standards that Arm uses to create IP and System/CSS. You will be constantly challenged to come up with innovative solutions to interesting problems. Successful solutions will be used by multiple teams across Arm, and have an impact across the engineering organization. Specifically, successful candidates will. Drive the adoption and deployment of innovative MRS solutions across Central Engineering (CE) and Solutions Engineering (SE).. Define and standardise end-to-end machine-readable spec flows for architecture, IP, and system-level integration.. Lead the implementation of IP-XACT, memory maps, register automation, and system specifications into MARS workflows.. Collaborate with architecture, engineering, software, and verification teams to align MARS with broader product development objectives.. Advocate for "MRS as a Standard" across internal IP teams to ensure early adoption during IP development.. Job Requirements Required Skills & Experience. To be considered for this position, you should have. Proven experience in the design, verification or automation of Arm IP, subsystems or SoCs.. Strong programming and scripting skills in Python for automation and validation.. Familiarity with Arm architecture, IP development lifecycles, and ecosystem enablement strategies.. A degree or equivalent experience in Computer Science or Electronic/Computer Engineering. "Nice to have" Skills and Experience. IP-XACT (IEEE-1685) experience. Good knowledge of both hardware and software domains. Track record of driving shift-left methodologies and enabling early IP delivery for large-scale silicon development.. DevOps' experience with git, gerrit and pipelines. A high level of pro-activity and initiative. In Return. You will have the opportunity to demonstrate technical expertise to engage with GPU design and Product management teams to influence product design and roadmap. You will work closely with highly skilled GPU engineering teams globally on ground-breaking new GPU technology. You will be empowered to continually identify and roll out improvements to our ways of working; while being supported by a team with varied strengths of GPU software and hardware application engineers.. Accommodations at Arm. At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email accommodations@arm.com . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.. Hybrid Working at Arm. Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.. Equal Opportunities at Arm. Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.. Show more Show less

Reference 23000TZY. Responsibilities. The missions of a senior functional expert are varied and hinge upon the strengthening of regulatory and accounting requirements related to the supervision and monitoring of risk models. In this context, you will be responsible for conducting internal model reviews (validation of the modeling, backtesting, etc.) that have been developed by the Group’s modeling entities.. Your main missions will be:. End to end responsibility of modeling validation missions, based on the planning and framework. Interact with the modeling entities. Analyze and test methods by using both technical knowledge and critical thinking.. Conduct quantitative reviews (statistics).. Be vigilant in the analysis of the regulatory compliance, robustness and performance of these models.. Contribute to the composition of a validation report in order to communicate the conclusions of the review mission.. Contribute and present the results of the review at the Models Committee. Ensure adequate documentation and archiving of the analyses carried out.. Mentoring Junior team members. The functional expert works on many different topics such as: retail or wholesale credit risk (PD models, CCF models, LGD models, stress tests), market risk models (VaR/SVaR/FRTB, EEPE, CVA, SIMM, IRC/CRM...), models developed under the IFRS 9 framework, models developed to comply with US regulatory requirements.. Required. Profile required. Ideal candidate should be well versed in credit risk model development, validation and maintenance of models (PD, LGD and EAD) for wholesale and retail credit portfolio of the bank as per regulatory guidelines.. Exposure to banking book and understanding of trading book products and knowledge on BASEL/IFRS guidelines is highly desirable. Candidate should have excellent business communication skills.. Educational Requirements:. Post-graduation degree in quantitative discipline(Statistics, Economics, Mathematics & engineering) from Tier I/II colleges. Additional certification in machine learning techniques or estimation of credit risk parameters will be preferred.. Role & Responsibility. The ongoing monitoring of the model is a task that must be done in all phases of the model lifecycle (development, implementation, use). In order to track and measure the efficiency and adequacy of models, the model monitor conducts continuous analysis and controls as an early warning both initially at implementation (for new models) and regularly as a part of the model’s ongoing monitoring.. For the purpose of these tests, the model monitor is responsible to:. Backtest & re-calibrate each model designed and developed by the business, hence a thorough understanding of model development under Basel & IFRS norms is critical.. Choose adequate model outcome analysis techniques such as:. Model estimates vs realized values (e.g. back-testing for some models);. Stability of model outcomes;. Benchmarking: model output vs output generated by comparable models or applications;. Sensitivity analysis to test robustness.. Analyze the model output and the related components (if applicable);. Model assumptions and limitations validity;. Results of benchmarking and sensitivity analysis;. Accuracy of model’s characteristics;(ROC/AUC, KS statistics, accuracy ratio, Gini coefficient etc). Monitor over time in order to follow up trends and detect deviations;. Establish thresholds and action plan for major deviations;. Report this analysis to the different model stakeholders.. Implement a governance to monitor the corrective actions. Furthermore, as part of the model ongoing monitoring phase, the model monitor should abide by the group standards on ongoing monitoring that establish guidelines on performance assessment processes including type, scope and range of tests and appropriateness of responses to any problems that may appear.. Technical Skills:. Regulatory risk model (IRB, IFRS9) model validation, monitoring, development (good to have) using SAS, R. Initiation to machine learning model validation.. Functional Skills:. –Knowledge of Global regulatory Topics BASEL II/III & IFRS 9. –Understanding of risk management and risk quantification processes. –Understanding of forms of risk, viz. credit, market, operational, model etc.. Behavioral Aspects:. Result Orientation. Client Focus. Contribution to Strategy. Cooperation. Team Player. Why join us. “We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status”.. Business insight. At Socit Gnrale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!. Still hesitating?. You should know that our employees can dedicate several days per year to solidarity actions during their working hours, including sponsoring people struggling with their orientation or professional integration, participating in the financial education of young apprentices, and sharing their skills with charities. There are many ways to get involved.. We are committed to support accelerating our Group’s ESG strategy by implementing ESG principles in all our activities and policies. They are translated in our business activity (ESG assessment, reporting, project management or IT activities), our work environment and in our responsible practices for environment protection.. Diversity and Inclusion. We are an equal opportunities employer and we are proud to make diversity a strength for our company. Societe Generale is committed to recognizing and promoting all talents, regardless of their beliefs, age, disability, parental status, ethnic origin, nationality, gender identity, sexual orientation, membership of a political, religious, trade union or minority organisation, or any other characteristic that could be subject to discrimination.. Show more Show less

Job Title: Data Quality & Automation Engineer.. Job Type: Full-time, Contractor.. About Us:. Our mission at micro1 is to match the most talented people in the world with their dream jobs. If you are looking to be at the forefront of AI innovation and work with some of the fastest-growing companies in Silicon Valley, we invite you to apply for a role. By joining the micro1 community, your resume will become visible to top industry leaders, unlocking access to the best career opportunities on the market.. Job Summary. We are seeking a skilled and innovative Data Quality & Automation Engineer to join our customer's dynamic team. In this role, you will leverage your expertise to ensure the quality and reliability of our data processing systems, playing a crucial role in our commitment to excellence. We are looking for a candidate who possesses a keen eye for detail and a strong ability to communicate both verbally and in writing.. Key Responsibilities. Develop and execute automated test scripts using Python and Selenium to validate data processing systems.. Perform rigorous data validation and ensure data integrity across various data platforms.. Collaborate with data engineers and developers to identify and troubleshoot issues.. Maintain and enhance existing automation frameworks and scripts.. Utilize SQL for advanced data querying and validation tasks.. Implement and manage workflows using Apache Airflow.. Work with Databricks to test data pipelines and transformations.. Required Skills and Qualifications. Proven experience in automation testing with a focus on data quality.. Proficiency in Python programming and Selenium automation tools.. Strong understanding of SQL for data validation and reporting.. Experience with ALM.. Knowledge of data warehousing and data lake architectures.. Experience in leading and mentoring teams.. Experience with data testing tools (dbt Test).. Experience with Apache Airflow for workflow management.. Familiarity with Databricks for data processing and analytics.. Exceptional written and verbal communication skills.. Attention to detail and a proactive approach to problem-solving.. Preferred Qualifications. Experience with cloud platforms (AWS, Azure) and big data technologies.. Knowledge of continuous integration and deployment processes.. Certification in data engineering or software testing is a plus.. Show more Show less

Job Summary QA Specialist, Data & Analytics. We’re looking for a meticulous and detail-oriented QA Specialist who is passionate about data quality. You will collaborate with our analytics team to develop and execute comprehensive QA processes, validate data pipelines, and automate recurring QA processes. Your work will be key to ensuring our data and analytics deliverables meet the highest standards of accuracy and reliability.. Responsibilities:. Develop and execute comprehensive QA processes for data and analytics deliverables.. Validate the entire data pipeline, including data sources, ETL processes, extracts, calculations, visualizations, and application interfaces.. Perform functional, regression, performance, and tolerance-range testing across reports and data systems.. Simulate end-user journeys to ensure a seamless user experience with analytics outputs.. Validate application tracking functionality (data collection through application usage).. Validate calculations and metrics in Tableau, Power BI, and other BI tools.. Conduct database validations using SQL (Oracle, Big Query) and NoSQL (MongoDB) systems.. Automate recurring QA processes in the analytics/BI environment when feasible.. Identify and document data quality issues and discrepancies.. Collaborate with cross-functional teams, including data engineers, BI developers, and product managers, to ensure analytics quality.. Experience. 3+ years of experience in QA, data validation, or analytics testing.. Hands-on experience BI tools environment testing.. Proficiency in SQL (Advantage: experience with Oracle and Big Query databases).. Experience with NoSQL databases (Advantage: MongoDB). Technical Skills.. Familiarity with regression testing and simulating user interactions with BI tools.. Nice-to-Have Qualifications. Advantage: Familiarity with scripting languages like R or Python.. Advantage: Experience in automation testing within analytics or BI environments.. Advantage: Experience in Databricks environment. Collaboration and Leadership:. Excellent communication skills with the ability to collaborate effectively across departments.. Strong ability to present complex findings to both technical and non-technical audiences.. About Aumni Techworks. Aumni Techworks, established in 2016, is a Software Services Company that partners with Product companies to build and manage their dedicated teams in India. So, while you are working for a services company, you are working within a product team and growing with them.. We do not take projects, and we have long term (open ended) contracts with our clients. When our clients sign up with us, they are looking at a multi-year relationship. For e.g. Some of the clients we signed up 8 or 6 years, are still with us.. We do not move people across client teams and there is no concept of bench.. At Aumni, we believe in quality work, and we truly believe that Indian talent is at par with someone in NY, London or Germany. 300+ and growing. Benefits Of Working At Aumni Techworks. Our award-winning culture reminds us of our engineering days.. Medical insurance (including Parents), Life and disability insurance. 24 leaves + 10 public holidays + leaves for Hospitalization, maternity, paternity and bereavement.. On site Gym, TT, Carrom, Foosball and Pool table. Hybrid work culture. Fitness group / rewards. Friday Socials, Annual parties, treks.. Show more Show less

Date 16 Jun 2025 Location: Bangalore, KA, IN Company Alstom We create smart innovations to meet the mobility challenges oftoday and tomorrow. We design and manufacture a complete range of transportation systems, from high-speed trains to electric busesand driverless trains, as well asinfrastructure, signalling and digital mobility solutions. Joining us meansjoininga truly global community ofmore than 75000 people dedicated to solving real-world mobility challenges and achieving international projects with sustainable local impact. JOB TITLE & JOB CODE Job Title EN-RR-07RAMS Engineer PURPOSE OF THE JOB Manage the RAMS activities and related deliverables in accordance with QCD commitments on the Purpose of the Job/Objective Perform RAMS analyses and produce related deliverables in accordance with QCD commitments on the project(s)/program(s). Apply the applicable Alstom/Engineering RAMS processes & instructions. ORGANISATION Organisation Reporting Hierarchical ReportingRAMS Domain Leader / Site RAMS Manager Functional Reporting Train / Subsystem RAMS Engineer Network & Links Engineering Design team (SE, SSE, TxE, TPM), Validation team, Central Engineering RAMS Team. Project Project Engineering Manager (PrEM) or Chief of Development (CoD), Project Warranty Manager (PrWM) and other RAMS stakeholder from other departments (Sourcing, Industrial, etc) Integrating & Participating Units RAMS Engineers counterparts on the corresponding project(s)/program(s) Service ILS/LCC Engineer External Interface External Suppliers KPI Measurement On Time Delivery and First Time Right Compliance to Alstom/Engineering processes & instructions for Safety MAIN RESPONSIBILITIES Responsibilities To perform the RAMS analyses he/she is in charge of, as per the applicable instructions/processes and other specific requirements committed to the Customer. To deliver RAMS analyses compliant with QCD work packages commitments. To address Customer/Independent parties (ISA, NoBo, Debo,) comments to get its approval on the RAMS deliverables within the limits of Alstom commitments. To contribute to the assessment of the RAMS performance of the product and to the upstream identification of the necessary RAMS requirements to ensure the achievement of the RAMS targets. To apply the Alstom/Engineering rules & processes to his / her activities in particular those dedicated to RAMS activities. To report on the progress of his/her activities and alert the Train/Subsystem RAMS Engineer and N+1 in case of difficulty. To have a pro-active challenging view on the RAMS data/results he/she handles to enhance the adequacy/consistency of the RAMS studies and requirements. To seek for the technical understanding of the Alstom products in order to better assess their safety performance and potential areas of improvement. To adopt a product oriented mind-set in performing his/her studies to foster the capitalisation of the results of the studies towards the product RAMS performance. MAIN REQUIRED COMPETENCES Knowledge & Experience Rolling-stock Engineering/Validation (you will be trained to RAMS competency) RAMS analysis and demonstration methods and tools and Electrical and/or Electro-mechanical Engineering Good communications and interpersonal skills Time management skill. Sense of priorities Structured and organised with hands-on approach English operational in reading and writing for technical documentation Team size N/A An agile, inclusive and responsiblecultureis the foundation of ourcompanywhere diverse people are offered excellent opportunities to grow, learn and advanceintheir careers.We are committed toencouragingour employeesto reach their full potential,while valuing and respecting them as individuals.