2443 Data Quality Jobs - Page 41

Role & responsibilities Shape technical strategy (e.g., build vs. buy decisions, technical road-mapping) in collaboration with architects Evaluate and identify appropriate technology stacks, platforms and vendors, including web application frameworks and cloud providers for solution development Attend team ceremonies as required; in particular, feature refinement and cross-team iteration reviews/demos Drive the resolution of technical impediments Own the 'success' of foundational enablers Champion for Research and Innovation Lead in scaled agile ceremonies and activities, like quarterly reviews, quarterly increment planning and OKR writing Collaborate with the Platform Owner in the writing and prioritization of technical capabilities and enablers Present platform delivery metrics, OKR health and platform finance status to Executive audiences Collaborate with other Technical Leads Create and maintain the technical roadmap for in-scope products and services at the platform. Preferred candidate profile Total work experience 15-22 years B.E. / B.Tech or equivalent Engineering professional Masters degree or equivalent experience in Marketing, Business or finance is an added advantage 10+ yrs. of experience in technical architecture, solution design, and platform engineering Strong experience in MDM, Data Quality and Data Governance practices including tool stack such as Informatica MDM SaaS, Informatica Data Quality, and Collibra is a plus Good experience with major cloud platforms and data tools in cloud including but not limited to AWS, Microsoft Azure, Kafka, CDC, Tableau, and Data virtualization tools Good experience in ETL and BI solution development and tool stack Informatica ETL experience is a plus Good experience in Data Architecture, SQL, NoSQL, REST API, data security, and AI concepts Familiarity with agile methodologies and data factory operations processes including usage of tools like confluence, Jira and Miro Strong knowledge of industry standards and regulations: A data platform owner should have knowledge of industry standards and regulations related to data management, such as HIPAA, PCI-DSS, and GDPR.

About The Role Role The purpose of this role is to provide strategic guidance and recommendations on pricing of contracts being executed in the assigned SBU while maintaining the competitive advantage and profit margins. Responsible for ensuring the SoW adherence to internal guidelines of all contracts in the SBU. ? Do - Contract pricing review and advise - Pricing strategy deployment - Drive the deployment of pricing strategy for the SBU/ Vertical / Account in line with the overall pricing strategy for Wipro - Partner and educate the Business Leaders about adherence to the pricing strategy, internal guidelines and SoW. - Business partnering for advice on contract commercials - Work closely with pre-sales and BU leadership to review the contracts about to be finalized and provide inputs on its structuring, payment milestones and terms & conditions - Review the Resources Loading Sheet (RLS)) submitted by pre-sales / delivery team and work on the contract pricing - Collaborate with the business leaders to propose a competitive pricing basis the effort estimate by considering the cost of resources, skills availability and identified premium skills - Review adherence of contract's commercial terms and conditions - Review the commercial terms and conditions proposed in the SoW - Ensure they are aligned with internal guidelines for credit period and the existing MSAs and recommend payment milestones - Ensure accurate revenue recognition and provide forecast - Implement and drive adherence to revenue recognition guidelines - Ensure revenue recognition by the BFMs / Service Line Finance Manage are done as per the IFRS standards - Partner with Finance Managers and educate them on revenue recognition standards and internal guidelines of Wipro - Provide accurate and timely forecast of revenue for the assigned SBU/ Vertical / Cluster / Accounts - Validation of order booking - Adherence to order booking guidelines - Oversee and ensure all documents, approvals and guidelines are adhered before the order is confirmed in the books of accounts - Highlight any deviations to the internal guidelines / standards and work with the concerned teams to address the deviations - Team Management - Team Management - Clearly define the expectations for the team - Assign goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports - Guide the team members in acquiring relevant knowledge and develop their professional competence - Educate and build awareness in the team in Wipro guidelines on revenue recognition, pricing strategy, contract terms and MSA - Ensure that the Performance Nxt is followed for the entire team - Employee Satisfaction and Engagement - Lead and drive engagement initiatives for the team - Track team satisfaction scores and identify initiatives to build engagement within the team ? Deliver 1. Financials Monetizing Wipro's efforts and value additions Comprehensiveness of pricing recommendations Accurate inputs in forecasting of revenue as per revenue recognition guidelines 2. Internal Customer Completeness of contracts checklist before order booking 3. Team Management Team attrition %, Employee satisfaction score, localization %, gender diversity % Training and skill building of team on pricing operations ? ? Mandatory Skills: Data Governance. Experience5-8 Years. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Required Skill Set Candidates with 8+ years of experience with exposure and experience in PIM solution definition and architecting Must have good understanding of MDM architectures and business processes specifically for solutioning PIM solutions leveraging Inriver Must have Minimum 2 end-to-end Implementation experience with Inriver PIM with architecting one such solution and should be familiar with tools architecture and components (data management, data model, digital asset management, workflows, data model and extensions,supplier portal, data quality, integration aspects) Must have hands-on experience with Informatica PIM tool that includes data modeling , designing and implementing components for imports, exports, data migration and associated data cleansing/transformations, data validations rules, catalog management, techniques for managing digital assets and unstructured content in PIM, etc. Should have designed implemented automated workflows in the tool for data management processes Knowledge and experience in integrating PIM with Data Quality tool (IDQ) for implementing Product data related DQ processes Experience in integrating PIM with ETL (data integration) and EAI tools for batch real time integrations Experience / understanding of data services suite of products (Data quality , Data integration etc.) will be an added advantage Understanding/experience on integrating PIM with external content management tools will be useful Candidate should have excellent communication skills with ability to interface with customers to drive PIM requirement workshops to elicit and document functional and non-functional requirements Roles Responsibilities Leading customer discussions and workshops for requirement elicitation and converting business requirements into PIM functional requirements Architecting, designing and implementing Inriver solutions as per client requirements - configuring, extending and customizing various components of PIM platform Providing technical leadership and leading other implementation team members (integration, data quality, BPM) throughout the implementations Build best practices, reusable components and accelerators for PIM implementations Mentor junior team members on PIM solution design and implementations Support practice by leading PIM solution definitions for different customers Do 1.Develop architectural solutions for the new deals/ major change requests in existing deals Creates an enterprise-wide architecture that ensures systems are scalable, reliable, and manageable. Provide solutioning of RFPs received from clients and ensure overall design assurance Develop a direction to manage the portfolio of to-be-solutions including systems, shared infrastructure services, applications in order to better match business outcome objectives Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution design framework/ architecture Provide technical leadership to the design, development and implementation of custom solutions through thoughtful use of modern technology Define and understand current state solutions and identify improvements, options tradeoffs to define target state solutions Clearly articulate, document and sell architectural targets, recommendations and reusable patterns and accordingly propose investment roadmaps Evaluate and recommend solutions to integrate with overall technology ecosystem Works closely with various IT groups to transition tasks, ensure performance and manage issues through to resolution Perform detailed documentation (App view, multiple sections views) of the architectural design and solution mentioning all the artefacts in detail Validate the solution/ prototype from technology, cost structure and customer differentiation point of view Identify problem areas and perform root cause analysis of architectural design and solutions and provide relevant solutions to the problem Collaborating with sales, program/project, consulting teams to reconcile solutions to architecture Tracks industry and application trends and relates these to planning current and future IT needs Provides technical and strategic input during the project planning phase in the form of technical architectural designs and recommendation Collaborates with all relevant parties in order to review the objectives and constraints of solutions and determine conformance with the Enterprise Architecture Identifies implementation risks and potential impacts 2.Enable Delivery Teams by providing optimal delivery solutions/ frameworks Build and maintain relationships with executives, technical leaders, product owners, peer architects and other stakeholders to become a trusted advisor Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams Recommend tools for reuse, automation for improved productivity and reduced cycle times Leads the development and maintenance of enterprise framework and related artefacts Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams Ensures architecture principles and standards are consistently applied to all the projects Ensure optimal Client Engagement Support pre-sales team while presenting the entire solution design and its principles to the client Negotiate, manage and coordinate with the client teams to ensure all requirements are met and create an impact of solution proposed Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor 3.Competency Building and Branding Ensure completion of necessary trainings and certifications Develop Proof of Concepts (POCs),case studies, demos etc. for new growth areas based on market and customer research Develop and present a point of view of Wipro on solution design and architect by writing white papers, blogs etc. Attain market referencability and recognition through highest analyst rankings, client testimonials and partner credits Be the voice of Wipros Thought Leadership by speaking in forums (internal and external) Mentor developers, designers and Junior architects in the project for their further career development and enhancement Contribute to the architecture practice by conducting selection interviews etc 4.Team Management Resourcing Anticipating new talent requirements as per the market/ industry trends or client requirements Hire adequate and right resources for the team Talent Management Ensure adequate onboarding and training for the team members to enhance capability effectiveness Build an internal talent pool and ensure their career progression within the organization Manage team attrition Drive diversity in leadership positions Performance Management Set goals for the team, conduct timely performance reviews and provide constructive feedback to own direct reports Ensure that the Performance Nxt is followed for the entire team Employee Satisfaction and Engagement Lead and drive engagement initiatives for the team Track team satisfaction scores and identify initiatives to build engagement within the team Mandatory Skills: Informatica MDM. Experience: 8-10 Years.

Wipro Limited (NYSE:WIT, BSE:507685, NSE:WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role : Role Purpose The purpose of the role is to define and develop Enterprise Data Structure along with Data Warehouse, Master Data, Integration and transaction processing with maintaining and strengthening the modelling standards and business information. Do 1. Define and Develop Data Architecture that aids organization and clients in new/ existing deals a. Partnering with business leadership (adopting the rationalization of the data value chain) to provide strategic, information-based recommendations to maximize the value of data and information assets, and protect the organization from disruptions while also embracing innovation b. Assess the benefits and risks of data by using tools such as business capability models to create an data-centric view to quickly visualize what data matters most to the organization, based on the defined business strategy c. Create data strategy and road maps for the Reference Data Architecture as required by the clients d. Engage all the stakeholders to implement data governance models and ensure that the implementation is done based on every change request e. Ensure that the data storage and database technologies are supported by the data management and infrastructure of the enterprise f. Develop, communicate, support and monitor compliance with Data Modelling standards g. Oversee and monitor all frameworks to manage data across organization h. Provide insights for database storage and platform for ease of use and least manual work i. Collaborate with vendors to ensure integrity, objectives and system configuration j. Collaborate with functional & technical teams and clients to understand the implications of data architecture and maximize the value of information across the organization k. Presenting data repository, objects, source systems along with data scenarios for the front end and back end usage l. Define high-level data migration plans to transition the data from source to target system/ application addressing the gaps between the current and future state, typically in sync with the IT budgeting or other capital planning processes m. Knowledge of all the Data service provider platforms and ensure end to end view. n. Oversight all the data standards/ reference/ papers for proper governance o. Promote, guard and guide the organization towards common semantics and the proper use of metadata p. Collecting, aggregating, matching, consolidating, quality-assuring, persisting and distributing such data throughout an organization to ensure a common understanding, consistency, accuracy and control q. Provide solution of RFPs received from clients and ensure overall implementation assurance i. Develop a direction to manage the portfolio of all the databases including systems, shared infrastructure services in order to better match business outcome objectives ii. Analyse technology environment, enterprise specifics, client requirements to set a collaboration solution for the big/small data iii. Provide technical leadership to the implementation of custom solutions through thoughtful use of modern technology iv. Define and understand current issues and problems and identify improvements v. Evaluate and recommend solutions to integrate with overall technology ecosystem keeping consistency throughout vi. Understand the root cause problem in integrating business and product units vii. Validate the solution/ prototype from technology, cost structure and customer differentiation point of view viii. Collaborating with sales and delivery leadership teams to identify future needs and requirements ix. Tracks industry and application trends and relates these to planning current and future IT needs 2. Building enterprise technology environment for data architecture management a. Develop, maintain and implement standard patterns for data layers, data stores, data hub & lake and data management processes b. Evaluate all the implemented systems to determine their viability in terms of cost effectiveness c. Collect all the structural and non-structural data from different places integrate all the data in one database form d. Work through every stage of data processing:analysing, creating, physical data model designs, solutions and reports e. Build the enterprise conceptual and logical data models for analytics, operational and data mart structures in accordance with industry best practices f. Implement the best security practices across all the data bases based on the accessibility and technology g. Strong understanding of activities within primary discipline such as Master Data Management (MDM), Metadata Management and Data Governance (DG) h. Demonstrate strong experience in Conceptual, Logical and physical database architectures, design patterns, best practices and programming techniques around relational data modelling and data integration 3. Enable Delivery Teams by providing optimal delivery solutions/ frameworks a. Build and maintain relationships with delivery and practice leadership teams and other key stakeholders to become a trusted advisor b. Define database physical structure, functional capabilities, security, back-up and recovery specifications c. Develops and establishes relevant technical, business process and overall support metrics (KPI/SLA) to drive results d. Monitor system capabilities and performance by performing tests and configurations e. Integrate new solutions and troubleshoot previously occurred errors f. Manages multiple projects and accurately reports the status of all major assignments while adhering to all project management standards g. Identify technical, process, structural risks and prepare a risk mitigation plan for all the projects h. Ensure quality assurance of all the architecture or design decisions and provides technical mitigation support to the delivery teams i. Recommend tools for reuse, automation for improved productivity and reduced cycle times j. Help the support and integration team for better efficiency and client experience for ease of use by using AI methods. k. Develops trust and builds effective working relationships through respectful, collaborative engagement across individual product teams l. Ensures architecture principles and standards are consistently applied to all the projects m. Ensure optimal Client Engagement i. Support pre-sales team while presenting the entire solution design and its principles to the client ii. Negotiate, manage and coordinate with the client teams to ensure all requirements are met iii. Demonstrate thought leadership with strong technical capability in front of the client to win the confidence and act as a trusted advisor Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role _x000D_ Role Purpose The purpose of this role is to provide solutions and bridge the gap between technology and business know-how to deliver any client solution ? _x000D_ Do 1. Bridging the gap between project and support teams through techno-functional expertise For a new business implementation project, drive the end to end process from business requirement management to integration & configuration and production deployment Check the feasibility of the new change requirements and provide optimal solution to the client with clear timelines Provide techno-functional solution support for all the new business implementations while building the entire system from the scratch Support the solutioning team from architectural design, coding, testing and implementation Understand the functional design as well as technical design and architecture to be implemented on the ERP system Customize, extend, modify, localize or integrate to the existing product by virtue of coding, testing & production Implement the business processes, requirements and the underlying ERP technology to translate them into ERP solutions Write code as per the developmental standards to decide upon the implementation methodology Provide product support and maintenance to the clients for a specific ERP solution and resolve the day to day queries/ technical problems which may arise Create and deploy automation tools/ solutions to ensure process optimization and increase in efficiency Sink between technical and functional requirements of the project and provide solutioning/ advise to the client or internal teams accordingly Support on-site manager with the necessary details wrt any change and off-site support ? _x000D_ 2. Skill upgradation and competency building Clear wipro exams and internal certifications from time to time to upgrade the skills Attend trainings, seminars to sharpen the knowledge in functional/ technical domain Write papers, articles, case studies and publish them on the intranet ? _x000D_ Deliver No. Performance Parameter Measure 1. Contribution to customer projects Quality, SLA, ETA, no. of tickets resolved, problem solved, # of change requests implemented, zero customer escalation, CSAT 2. Automation Process optimization, reduction in process/ steps, reduction in no. of tickets raised 3. Skill upgradation # of trainings & certifications completed, # of papers, articles written in a quarter ? _x000D_ Mandatory Skills: Oracle Hyperion Fin Data Quality FDMEE_x000D_. Experience5-8 Years_x000D_. Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Wipro Limited (NYSEWIT, BSE507685, NSEWIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com. About The Role Timings 07 PM to 4.30 AM IST. The role also demands support to various process related project initiatives, Monthly MIS Reporting, stakeholder management, risk management, handling escalations, and addressing queries of Data Governance team. Working closely with Trade support Team for smooth flow of Transactions. Fund Master Data Management: Maintain and manage the fund master database, ensuring data integrity and accuracy. Collaborate with investment teams to gather and validate fund-related data. Implement processes for the onboarding and offboarding of funds. Data Quality ManagementExpertise in Data Quality processes and Reference Data Maintenance for Term Loans, Bonds, Equities, Derivatives, and Structured Products. Analytical ExcellenceConduct detailed analyses to ensure timely, accurate delivery within a compliant, "no error" framework. Application ProficiencyExperience with Reuters Eikon, Markit, Bloomberg, and familiarity with BlackRock Aladdin preferred. Corporate Structure KnowledgeUnderstanding of corporate structures and relationship between legal entities and parent issuers, and proficient in researching government registry database. Ratings Agency InsightKnowledge of ratings agencies and their relevance to financial products, especially Term Loans. Client InteractionCollaborate with clients and onshore teams to gather requirements and identify process improvements. Operational SupportAssist Middle and Back Office operations, ensuring efficient and accurate task completion. Qualifications: Bachelor’s degree in Finance. Proven experience in data governance, data management, or fund administration. Strong understanding of data quality principles and data governance frameworks. Familiarity with regulatory requirements in the financial services industry. Excellent analytical, problem-solving, and communication skills. Proficiency in data management tools and software (e.g., SQL, data visualization tools,Excel). Ability to work collaboratively in a team-oriented environment. Preferred Skills: Experience with fund accounting or investment management systems. ? Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback2Self- ManagementProductivity, efficiency, absenteeism, Training Hours, No of technical training completed Reinvent your world.We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention. Come to Wipro. Realize your ambitions. Applications from people with disabilities are explicitly welcome.

Job : Data Governance/Data Management About Us Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Job : Data Governance/Data Management Location - Bangalore Exp - 4+ years Key Skills : Data Governance/Data Management (Mandatory) , Collibra / Informatica IDQ Domain : BFSI Responsibilities : Support the business in driving Data Governance principles according to the regulatory reporting requirements like BCBS 239 / CCAR /Liquidity. Work with the Business Owners to identify and understand data used for a business process and create a Business Glossary and Metadata in Collibra. Work with Data Architecture team to identify and document the physical data elements in order to build data quality controls. Document data lineage for a business concept. Issue Management related to Data Quality controls / Data Lineage / Data policies and procedures Role Requirements: Understanding/ experience of Collibra or other data governance tools. Working experience in a Data Governance role. Understanding of banking regulation's risk and controls. Example BCBS 239 / CCAR / GDPR / Liquidity

At Mr. Cooper Group, You Make the Dream Possible. Our purpose is simple: Keeping the dream of homeownership alive. As a Mr. Cooper Group team member, you play a big role in making that dream possible. Around here, we know our roles and work together, volunteer to make a difference, and challenge the status quo when needed. Everything we do is in the care and service of our teammates and our customers. Join us and make the dream of home ownership possible! Role Responsibilities: 65% - Serve as HR technical point of contact for moderate to complex integration projects and production support enhancements. 15% - Support SOX, SOC & Information Security infrastructure optimization & support. 10% - Identify and deploy process improvements & automation to support an improved PEX and data quality. 10% - Responsible for working ticket & task queues as L3 support. Additional Duties: May act as a liaison between internal customers and external vendors Maintains and tracks all issues/work using standard Issue Tracking Processes Other duties as assigned Core Requirements: Minimum of a 2 - 4 year degree required: Information Systems or Computer Science concentration or equivalent Minimum of 5+ years of experience in Interface/Integration design & ETL development and 2 - 4 years Workday integration experience (i.e. EIB, Connector, Studio) Knowledge of relational databases, structured query language, enterprise resource planning systems, report writing & design Working knowledge and/or experience with Workday Prism and Workday HCM is a plus Working knowledge and/or experiences with SAP CallidusCloud is a plus Good written, verbal, interpersonal, presentation skills Ability to communicate among technical and non-technical employees, and process orientation skills A customer driven approach and good customer management skills Ability to prioritize work, be highly organized, and work independently Ability to identify problems and apply creative solutions Ability to manage many tasks while maintaining high degrees of attention to detail, accuracy and poise under pressure Must have collaborative work style Basic Proficiency in Microsoft Excel & PowerPoint Must be able to maintain strictest confidence Job Requisition ID: 023765 Job Category: Human Resources Primary Location City: Chennai Primary Location Region: Tamil Nadu Primary Location Postal Code: 600089 Primary Location Country: India Additional Posting Location(s):

IAC deploy scalable, secure, and high-performing Snowflake environments in line with data governance and security in palce using Terraform and other automation scripit Automate infrastructure provisioning, testing, and deployment for seamless operations. Strong SQL & DBT Expertise Experience building and maintaining scalable data models in DBT . Proficient in modular SQL , Jinja templating , testing strategies, and DBT best practices. Data Warehouse Proficiency Hands-on experience with Snowflake including: Dimensional and data vault modeling (star/snowflake schemas) Performance optimization and query tuning Role-based access and security management Data Pipeline & Integration Tools Experience with Kafka (or similar event streaming tools) for ingesting real-time data. Familiarity with SnapLogic for ETL/ELT workflow design, orchestration, and monitoring. Version Control & Automation Proficient in Git and GitHub for code versioning and collaboration. Experience with GitHub Actions or other CI/CD tools to automate DBT model testing, deployment, and documentation updates. Data Quality & Governance Strong understanding of data validation, testing (e.g., dbt tests), and lineage tracking. Emphasis on maintaining data trust across pipelines and models. Stakeholder Management Partner with business and technical stakeholders to define data needs and deliver insights. Ability to explain complex data concepts in clear, non-technical terms. Documentation & Communication Maintain clear documentation for models, metrics, and data transformations (using DBT docs or similar). Strong verbal and written communication skills; able to work cross-functionally across teams. Problem-Solving & Ownership Proactive in identifying and resolving data gaps or issues. Self-starter with a continuous improvement mindset and a focus on delivering business value through data.

The purpose of this role is to script surveys on the survey platform, ensuring accurate execution according to specifications, with a focus on on-time delivery and end-to-end quality assurance. Job Description: Bachelor s degree in computer science, Information Technology, Statistics, or a related field 2+years of experience working with VOXCO, Forsta or similar survey programming software. Experience of scripting multi-market complex projects. Program and script high-complexity surveys on the Survey platform, ensuring accurate execution according to specifications, with a focus on on-time delivery and end-to-end quality assurance. Conduct thorough testing of surveys, review data, and provide high-quality links to clients. Be able to provide technical support and troubleshooting for survey-related issues. Coordinate with internal project managers / client services team members to finalize materials; provide guidance on tool functionality and solutions. Review survey questionnaires and make recommendations for efficient programming and optimal data layout to improve data quality and user experience. Develop, test, and implement innovative approaches, functions, and solutions to streamline survey programming and enhance project efficiency. Strong understanding of JavaScript, HTML, CSS, and other relevant programming languages. Should be comfortable to work in night shifts - rotational, 24/7 operational support and working on weekends - Roaster Client-focused with strong consulting, communication, and collaboration skills. Emotionally intelligent, adept at conflict resolution, and thrives in high-pressure, fast-paced environments. Demonstrates ownership, problem-solving ability, and effective multitasking and prioritization Location: DGS India - Mumbai - Thane Ashar IT Park Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Description: We are looking for a Master Data Management (MDM) specialist with an experience of 3-4 years for SAP Public Cloud, particularly with expertise in Materials Management (MM) and Sales & Distribution (SD), is responsible for ensuring data accuracy, consistency, and governance within the SAP system. The role include creation of master data on regular basis as a part of operations management. This includes developing MDM strategies, defining data standards, and implementing data governance frameworks. They also work with various departments to maintain data quality and provide expertise in SAP MDM, ensuring end-users are properly trained and supported. Responsibilities Master Data Entry and Updation: To create and manage the master data for SAP Public Cloud on regular basis for effective operations running. This includes Item Creation, Customer Creation, Vendor Creation, Tax Code allocation, Plant related parameters, GL Etc. Data Management Strategy: Develop and implement MDM strategies and policies to ensure data integrity and consistency across the SAP Public Cloud environment. Data Governance: Design and execute data governance frameworks to maintain high data quality, focusing on accuracy, completeness, and timeliness Data Standardization: Collaborate with business units to define master data requirements and standards, ensuring consistency across all master data domains (e.g., materials, customers, products). Data Quality Monitoring: Monitor and audit master data to identify and resolve discrepancies, ensuring the accuracy and reliability of business-critical data Training and Support: Train and support end-users on MDM processes and best practices, promoting a culture of data accuracy and consistency Data Consolidation: Ensure the creation of a single, trusted source of truth for master data, integrating data from various SAP and third-party sources. MM/SD Expertise: Possess a deep understanding of Materials Management and Sales & Distribution modules within SAP, including specific master data requirements and best practices. Qualifications A graduate from reupted institute with Extensive experience with SAP systems, particularly in MM and SD modules, and a strong understanding of SAP Public Cloud. Data Management Skills: Strong understanding of data management principles, including data governance, data quality, and data integration. Collaboration Skills: Ability to effectively collaborate with business users and IT teams to define and implement MDM strategies and processes. Analytical Skills: Strong analytical skills to identify data issues, evaluate data quality, and recommend solutions. Also perform Reconciliations. Communication Skills: Excellent communication skills to effectively train end-users and communicate MDM strategies and processes. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data discrepancies and ensure data accuracy. Location: Coimbatore, Tamilnadu, India Type: Full Time

Job Title: Project Management Analyst Summary: The Project Management Analyst will assist the IT PMO in ensuring on-time delivery, and achievement of project outcomes, across all IT projects. They will accomplish this by monitoring all active, historical, and planned IT projects for key project indicators. They will be responsible for independently monitoring general project status across the entire portfolio of IT projects, including schedule, budget, and progress on deliverables. The Project Management Analyst collaborates with other IT and Business staff at various levels to capture these details, and contributes analysis for consumption by the IT PMO Manager and other leadership. The ideal profile has some basic experience as a project manager and more advanced experience in data analysis. You are detail-oriented and well-organized, with demonstrated experience deriving meaningful analysis from business datasets. Responsibilities Include: With minimal oversight, establish tools for sustaining recurring data gathering and analysis. Perform weekly and monthly rhythms of project data gathering and analysis from available information within Momentive, relying on data from tooling, personal conversations, and business communications to understand project status. Working with the Enterprise Reporting Team, create/maintain dashboards that accurately represent the analysis you complete, communicating impactful insights, tailored to various levels of the organization. Prepare and transmit email communications regarding project status and insights on a recurring basis, for various groups and levels of the organization. Ensure the accuracy of project KPIs through independent testing and application of controls. Be responsible for the IT PMO audit step of our project management delivery process. Coach Project Managers, IT PMO staff, IT leadership, and others on data quality issues and resolution Participate in project, program, and portfolio planning sessions to help ground conversations in data, and provide business insights. Prepare written reports and presentations that convey data analysis and observations. Collaborate with others in IT to monitor project procurement and budget across all IT projects. Collaborate with IT Business Partners and other Business staff on the maintenance and analysis of project benefit data. Other limited duties within the team, as assigned. Qualifications: The following are required for the role Min 3 to 5+years of experience overall, including: 2-3 years of experience working as an analyst, any domain. 2-3 years of experience in data collection, cleaning, transformation, visualization, and analysis. Experience using common project management software, of any type. Demonstrated experience with one or more analytic tools, including advanced Microsoft Excel, any SQL query tool, and other common analytic tooling for analysis and reporting. Excellent verbal and written communication skills. Highly-organized. Experience working in a global delivery organization. A Bachelor s degree in Business Administration, Information Systems or another relevant field. What We Offer: At Momentive, we value your well-being and offer competitive total rewards and development programs. Our inclusive culture fosters a strong sense of belonging and provides diverse career opportunities to help you unleash your full potential. Together, through innovative problem-solving and collaboration, we strive to create sustainable solutions that make a meaningful impact. Join our Momentive team to open a bright future. #BePartoftheSolution About Us: Momentive is a premier global advanced materials company with a cutting-edge focus on silicones and specialty products. We deliver solutions designed to help propel our customer s products forward products that have a profound impact on all aspects of life, around the clock and from living rooms to outer space. With every innovation, Momentive creates a more sustainable future. Our vast product portfolio is made up of advanced silicones and specialty solutions that play an essential role in driving performance across a multitude of industries, including agriculture, automotive, aerospace, electronics, energy, healthcare, personal care, consumer products, building and construction, and more. Momentive believes a diverse workforce empowers our people, strengthens our business, and contributes to a sustainable world. We are proud to be an equal opportunity employer . Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any characteristic protected by law. To be considered for this position candidates are required to submit an application for employment and be of legal working age as defined by local law . An offer may be conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations . Note to third parties: Momentive is not seeking or accepting any unsolicited assistance from search and selection firms or employment agencies at this time.

Job Overview: We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems. Key Responsibilities: Design, develop, test, and maintain scalable ETL data pipelines using Python. Work extensively on Google Cloud Platform (GCP) services such as: Dataflow for real-time and batch data processing Cloud Functions for lightweight serverless compute BigQuery for data warehousing and analytics Cloud Composer for orchestration of data workflows (based on Apache Airflow) Google Cloud Storage (GCS) for managing data at scale IAM for access control and security Cloud Run for containerized applications Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery. Implement and enforce data quality checks, validation rules, and monitoring. Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions. Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects. Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL. Document pipeline designs, data flow diagrams, and operational support procedures. Required Skills: 4-6 years of hands-on experience in Python for backend or data engineering projects. Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.). Solid understanding of data pipeline architecture, data integration, and transformation techniques. Experience in working with version control systems like GitHub and knowledge of CI/CD practices. Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.). Good to Have (Optional Skills): Experience working with Snowflake cloud data platform. Hands-on knowledge of Databricks for big data processing and analytics. Familiarity with Azure Data Factory (ADF) and other Azure data engineering tools.

Data Validation (DV) Specialist (Using SPSS) - Team Leader Job Description: Perform data quality checks and validation on market research datasets Develop and execute scripts and automated processes to identify data anomalies. Collaborate with the Survey Programming team to review survey questionnaires and make recommendations for efficient programming and an optimal layout that enhances user experience. Investigate and document data discrepancies, working with survey programming team/data collection vendors as needed. Collaborate with Survey Programmers and internal project managers to understand survey requirements and provide guidance on quality assurance best practices. Provide constructive feedback and suggestions for improving the quality of data, aiming to enhance overall survey quality. Automate data validation processes where possible to enhance efficiency and reduce time spent on repetitive data validation tasks. Maintain thorough documentation of findings and recommendations to ensure transparency and consistency in quality practices Actively participate in team meetings to discuss project developments, quality issues, and improvement strategies, fostering a culture of continuous improvement Manage the pipeline and internal/external stakeholder expectations Train and mentor junior team members Qualification: Bachelor s degree in computer science, Information Technology, Statistics, or a related field. At least 4+ years of experience in data validation process. Familiar with data validation using SPSS, Dimension, Quantum platform or similar tools A proactive team player who thrives in a fast-paced environment and enjoys repetitive tasks that contribute to project excellence. Programming knowledge in a major programming language such as R, JavaScript, or Python, with an interest in building automation scripts for data validation. Excellent problem-solving skills and a willingness to learn innovative quality assurance methodologies. A desire for continuous improvement in processes, focusing on creating efficiencies that lead to scalable and high-quality data processing outcomes. Location: Mumbai Brand: Merkle Time Type: Full time Contract Type: Permanent

Data Validation (DV) Specialist (Using SPSS) - Team Leader Job Description: Perform data quality checks and validation on market research datasets Develop and execute scripts and automated processes to identify data anomalies. Collaborate with the Survey Programming team to review survey questionnaires and make recommendations for efficient programming and an optimal layout that enhances user experience. Investigate and document data discrepancies, working with survey programming team/data collection vendors as needed. Collaborate with Survey Programmers and internal project managers to understand survey requirements and provide guidance on quality assurance best practices. Provide constructive feedback and suggestions for improving the quality of data, aiming to enhance overall survey quality. Automate data validation processes where possible to enhance efficiency and reduce time spent on repetitive data validation tasks. Maintain thorough documentation of findings and recommendations to ensure transparency and consistency in quality practices Actively participate in team meetings to discuss project developments, quality issues, and improvement strategies, fostering a culture of continuous improvement Manage the pipeline and internal/external stakeholder expectations Train and mentor junior team members Qualification: Bachelor s degree in computer science, Information Technology, Statistics, or a related field. At least 4+ years of experience in data validation process. Familiar with data validation using SPSS, Dimension, Quantum platform or similar tools A proactive team player who thrives in a fast-paced environment and enjoys repetitive tasks that contribute to project excellence. Programming knowledge in a major programming language such as R, JavaScript, or Python, with an interest in building automation scripts for data validation. Excellent problem-solving skills and a willingness to learn innovative quality assurance methodologies. A desire for continuous improvement in processes, focusing on creating efficiencies that lead to scalable and high-quality data processing outcomes. Location: Mumbai Brand: Merkle Time Type: Full time Contract Type: Permanent

Job Description As a Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 3+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

We are looking for an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Spark , and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. You ll work closely with cross-functional teams to drive data reliability, quality, and performance. Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs. Building data lake in WS Databricks. Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Develop distributed data processing solutions using Apache Spark or PySpark . Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data. Ensure data quality, governance, security, and compliance across pipelines and data stores. Monitor, troubleshoot, and improve the performance of data systems and pipelines. Participate in code reviews and help establish engineering best practices. Mentor junior data engineers and support their technical development. Requirements Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of hands-on experience in data engineering , with at lea

Job Description We are looking for an experienced Senior Data Engineer with a strong foundation in Python, SQL, and Spark , and hands-on expertise in AWS, Databricks . In this role, you will build and maintain scalable data pipelines and architecture to support analytics, data science, and business intelligence initiatives. You ll work closely with cross-functional teams to drive data reliability, quality, and performance. Responsibilities: Design, develop, and optimize scalable data pipelines using Databricks in AWS such as Glue, S3, Lambda, EMR, Databricks notebooks, workflows and jobs. Building data lake in WS Databricks. Build and maintain robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Develop distributed data processing solutions using Apache Spark or PySpark . Partner with data scientists and analysts to provide high-quality, accessible, and well-structured data. Ensure data quality, governance, security, and compliance across pipelines and data stores. Monitor, troubleshoot, and improve the performance of data systems and pipelines. Participate in code reviews and help establish engineering best practices. Mentor junior data engineers and support their technical development. Qualifications Requirements Bachelors or masters degree in computer science, Engineering, or a related field. 5+ years of hands-on experience in data

Overview Karya is seeking an experienced and strategic leader to oversee our Data Delivery team. As the Head of Data Delivery, you will be responsible for ensuring the timely and accurate delivery of our datasets and services to our clients, while driving innovation and continuous improvement within the team. Responsibilities Data Delivery Management Manage the end-to-end data delivery process, ensuring efficient and seamless operations Collaborate with cross-functional teams, including our Tech, Customer Success and Operations teams, to align on delivery requirements and timelines Develop and implement best practices, processes, and tools to streamline data delivery workflows Monitor and report on key performance indicators (KPIs) related to data delivery, identifying areas for improvement and implementing corrective actions Client Engagement Serve as a point of contact for clients, ensuring their data delivery needs are met and expectations are exceeded Collaborate with clients and the Customer Success team to understand their unique requirements and tailor data delivery solutions accordingly Proactively identify and address potential issues or concerns, ensuring timely resolution and maintaining strong client relationships Innovation and Continuous Improvement Stay abreast of emerging trends, technologies, and best practices in data delivery and data management Identify opportunities for process optimization and automation, driving efficiency and scalability within the data delivery team Foster a culture of innovation and continuous improvement, encouraging team members to explore new ideas and solutions Collaborate with cross-functional teams to identify and implement new data delivery offerings or enhancements to existing products and services Qualifications and Experience Bachelors degree in Computer Science, Information Technology, or a related field; advanced degree preferred Minimum of 5 years of experience in data delivery, data management, or related roles Proven track record of successfully leading and managing high-performing teams Strong understanding of data delivery processes, methodologies, and best practices Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and stakeholders Proficiency in project management methodologies and tools Experience with data governance, data quality, and data security practices Familiarity with cloud computing platforms and data delivery technologies Strong analytical and problem-solving skills, with the ability to think strategically and drive continuous improvement Passion for innovation and a commitment to delivering exceptional customer experiences Karya is an equal opportunity employer, and we value diversity at our company. We encourage applications from individuals of all backgrounds, cultures, and experiences.

Appetizer Svitzer offers an exciting and attractive position in a global team, that provides continuous professional and personal development. As a Process Expert in the global Commercial team at Svitzer, you will have the opportunity to grow your career while developing your skills and knowledge within Commercial Operations, processes, and systems. This is us You will be joining the market leader that contributes to Svitzers ambition of transforming and maintaining a leading position within the towage industry. The positions offer the right candidates an exciting opportunity to join an ambitious and international company with a lean and flat structure. Combined with a performance driven culture, this gives you significant independence to impact your role and contribute to the success of the commercial team and our company. The role is based in Mumbai and reports to the Customer Experience team in Copenhagen. This small, dedicated and passionate team is both driving customer centricity and supporting the regional commercial teams. The Commercial Process Specialists are the anchor points for administrative and operational tasks and are responsible for the quality and timely maintenance of data in our commercial operations system. Working hours are flexible and can vary, as you and your fellow colleague in Mumbai will be supporting all our four regional offices in Sydney, Dubai, Copenhagen and Panama. We also offer flexibility in Remote Office setup, giving availability to both work from home and the office in Mumbai. Responsibilities Maintenance and daily update of the main commercial system (called "Helm"), ensuring database is kept up to date, with data quality and integrity maintained across all operations. This may include liaising with colleagues from all over the world and across different functions. Handle daily invoicing in HELM. Responsible for commercial operations process, system issue and enquiry handling, if needed escalation and support system consultant and internal stakeholder through the process Develop and continuously evaluate commercial operations daily process and identify possibilities to improve Svitzer commercial operations process and data transparency. Ensure the processes as well as related SOPs are well mapped and documented. Support regions in process and system implementations with Customer Experience and risk mitigation in mind, including provision of standard reports Be involved in commercial related key internal controls; coordinate and/or guide finance Global Service Center colleagues based in Pune. Drive continuous improvement actions to perform daily execution tasks more efficiently and effectively, such as taking care of incoming system queries and daily invoicing. Drive continuous improvement actions to perform daily execution tasks more efficiently and effectively, such as taking care of incoming system queries and daily invoicing. Who we are looking for We are looking for a new colleague with the following: Minimum 5 years of process experience Masters degree in business administration or similar Preferred commercial and/or customer service background Good at process mapping and presenting the outcomes Experience working as business administrator in a business system Fluency in both oral and written English Knowledge of MS Office (proficient user in Word, Excel, PowerPoint) Good presentation skills Furthermore, you work efficiently by simplifying processes, prioritizing and delivering with high quality. You have strong communication skills, and you work in harmony with functional teams and across a diverse multicultural environment. Your interpersonal skills are excellent just like you are good at planning, following up, and taking the ownership end-to-end to ensure the requested outcome. Building a Diverse Workplace In Svitzer we value the diversity of our talent and will always strive to recruit the best person for the job - we value diversity in all its forms, including but not limited to gender, age, nationality, race, sexual orientation, disability, or religious beliefs. We are proud of our diversity and see it as a genuine source of strength for building high performing teams. Don t meet every single requirement? Studies have shown that members from some under-represented groups are less likely to apply for jobs if they don t meet every single qualification. At Svitzer we are dedicated to building a diverse and inclusive workplace, so if you re excited about this role but your past experience doesn t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles, and we are excited about hearing from you! How to Apply To apply for this role, please click on the Apply Now button and create a Candidate Home to manage your applications.

Job Description As a Sr Data Engineer, your role is to spearhead the data engineering teams and elevate the team to the next level! You will be responsible for laying out the architecture of the new project as well as selecting the tech stack associated with it. You will plan out the development cycles deploying AGILE if possible and create the foundations for good data stewardship with our new data products! You will also set up a solid code framework that needs to be built to purpose yet have enough flexibility to adapt to new business use cases tough but rewarding challenge! Responsibilities Collaborate with several stakeholders to deeply understand the needs of data practitioners to deliver at scale Lead Data Engineers to define, build and maintain Data Platform Work on building Data Lake in Azure Fabric processing data from multiple sources Migrating existing data store from Azure Synapse to Azure Fabric Implement data governance and access control Drive development effort End-to-End for on-time delivery of high-quality solutions that conform to requirements, conform to the architectural vision, and comply with all applicable standards. Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner. Further develop critical initiatives, such as Data Discovery, Data Lineage and Data Quality Leading team and Mentor junior resources Help your team members grow in their role and achieve their career aspirations Build data systems, pipelines, analytical tools and programs Conduct complex data analysis and report on results Qualifications 7+ Years of Experience as a data engineer or similar role in Azure Synapses, ADF or relevant exp in Azure Fabric Degree in Computer Science, Data Science, Mathematics, IT, or similar fiel

Data Engineer (Azure) Jobs | 7+ years | Coimbatore, Tamil Nadu(Full-time) Job Description Purpose: IT applications (Implementation and support): The employee should be able to develop ETL pipelines, data visualizations and analysis. Minimum Qualifications and Knowledge: Bachelor s degree in computer science or information technologies. Minimum Experience: 8+ years in Data Engineering (design, model and building ETL pipelines, data/lake house design and development) 4+ years in Python and Spark (strong knowledge in PySpark, Pandas, Numpy) 4+ year in Azure Data Factory and Databricks (strong Performance Optimization skills) 8+ years in SQL Job-Specific Skills: Self-motivated and committed to quality. Interpersonal and analytical skills. Problem solving skills. Excellent organization skills. Required for 6-months, with the possibility of renewal based on project requirements Finance industry working experience is preferred (Insurance background is 01st preference). Candidates currently working in any region is fine ( Abu Dhabi/India) Application Development: Data modelling, development and deployment of end-to-end data analytics solutions in cloud environment - Azure. Data processing including big data processing, integration, data modelling in line with the concepts of lake house medallion architecture. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Collaborate with vendor to create pipelines for Open Insurance project for four Line of Business Motor, Home, Medical & Travel Create robust data models, data catalogue & data mesh architecture for selfservice analytics, facilitating user-friendly data exploration and reporting. Data Governance - Ensure data quality, security, discoverability Application Support: Maintain and execute performance tuning and data quality fixes. Required Knowledge, Skills, and Abilities https://www.tebs.com Whom we are looking for p Purpose: br IT applications (Implementation and support): The employee should be able to develop ETL pipelines, data visualizations and analysis. br /p p Minimum Qualifications and Knowledge: br Bachelor s degree in computer science or information technologies. br Minimum Experience: br 8+ years in Data Engineering (design, model and building ETL pipelines, data/lake house design and development) br 4+ years in Python and Spark (strong knowledge in PySpark, Pandas, Numpy) br 4+ year in Azure Data Factory and Databricks (strong Performance Optimization skills) br 8+ years in SQL br Job-Specific Skills: br Self-motivated and committed to quality. Interpersonal and analytical skills. br Problem solving skills. br Excellent organization skills. br Required for 6-months, with the possibility of renewal based on project requirements br Finance industry working experience is preferred (Insurance background is 01st preference). br Candidates currently working in any region is fine ( Abu Dhabi/India) br /P p Application Development: br Data modelling, development and deployment of end-to-end data analytics solutions in cloud environment - Azure. br Data processing including big data processing, integration, data modelling in line with the concepts of lake house medallion architecture. br Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. br Collaborate with vendor to create pipelines for Open Insurance project for four Line of Business Motor, Home, Medical & Travel br Create robust data models, data catalogue & data mesh architecture for selfservice analytics, facilitating user-friendly data exploration and reporting. br Data Governance - Ensure data quality, security, discoverability br /p p Application Support: br Maintain and execute performance tuning and data quality fixes. br /p

[{"Salary":null , "Remote_Job":false , "Posting_Title":"Senior Quality Assurance Manager - IT","City":"S.A.S.Nagar (Mohali)" , "Industry":"Technology" , "Job_Description":" Job Title: Senior Quality Assurance Manager - IT Location: Chandigarh, India Department: IT/Technology Reports To: Chief Technology Officer Job Type: Full-Time About Us: TRU is a Global Leading Organization dedicated to leveraging cutting-edge technology to drive business innovation and growth. Were architects of online experiences, innovators in the digital landscape, and partners in our clients success stories. Our journey began with a simple yet powerful vision \u2014 to transform businesses through strategic and creative digital solutions. At TRU, we pride ourselves on a holistic approach to digital excellence. We dont just create websites or run marketing campaigns; we craft immersive digital journeys that resonate with audiences. From the inception of an idea to its execution, we bring together a team of passionate professionals who thrive on pushing boundaries and challenging the status quo. Our global team comprises of industry experts hailing from Canada and APAC realms including India and Indonesia having creative and innovative minds. We are tech-savvy enthusiasts and bring a wealth of intelligence and expertise to the table. Whether its web development, design, digital marketing, or emerging technologies, were here to navigate the complexities and deliver solutions that make a lasting impact. Position Overview: As a Quality Assurance Manager at Tru, you will lead and oversee quality assurance efforts across the organization, ensuring that products and services meet or exceed customer expectations and industry standards. With oversight of a team of nearly 40 Quality Assurance Engineers, you will be responsible for developing and implementing QA strategies, processes, and procedures to drive continuous improvement and maintain high-quality standards. The ideal candidate will possess strong leadership skills, extensive experience in manual and automated quality assurance methodologies, and a track record of driving excellence in a large-scale environment. Expertise in security testing, performance and load testing with JMeter, API testing, Selenium WebDriver with Java, compatibility testing, along with proficiency in Agile methodologies and Jira, are highly valued. Experience as Certified Scrum Master (CSM) is an added advantage. Job Location and Address: This requirement is Full Time and working from the office only. No Hybrid or Remote is available. The Incumbent is required to work in the following location : Plot No E 275, Industrial Area, Sector 75, Sahibzada Ajit Singh Nagar, Punjab 160071 Responsibilities: Quality Assurance Strategy Development: Develop a comprehensive strategy for quality assurance with specific and measurable goals. Ensure objectives align with industry standards and organizational needs. Establishing Quality Assurance Best Practices: Champion best practices in QA to establish up-to-date policies and procedures. Provide shared resources to support engineering teams in implementing high-quality testing practices. Collaboration with Cross-Functional Teams: Collaborate closely with development, product management, and customer support teams. Integrate quality processes seamlessly throughout the software development lifecycle. Promotion of QA Automation: Drive the adoption of QA automation tools and technologies. Select, implement, and maintain testing frameworks and platforms. Management of Global Test Environments: Own and manage global test environments in partnership with DevOps and engineering teams. Integrate QA automation into CI/CD pipelines and test automations. Embedding QA Practices in Agile Ceremonies: Embed QA practices in Agile ceremonies and sprints. Elevate data quality and testing practices as part of acceptance criteria. Monitoring and Analysis of Quality Metrics: Continuously monitor and analyze key quality metrics. Identify trends and areas for improvement. Ensuring Adherence to Processes and Standards: Develop and oversee regular audits to ensure adherence to internal processes and industry standards. Ensure compliance with regulatory requirements. Root Cause Analysis and Defect Resolution: Perform thorough root cause analysis for defects. Collaborate with relevant teams to implement effective corrective and preventive measures. Staying Abreast of Industry Trends: Stay updated on industry best practices, emerging technologies, and relevant regulations. Enhance the QA function consistently based on new developments. Stakeholder Communication: Maintain effective communication with stakeholders at all levels. Provide regular updates on quality initiatives and address any arising issues. Leadership in Quality Assurance: Lead the Quality Assurance function globally. Foster a culture of high performance and positive engagement within the team. Building High-Performing Teams: Build a high-performing team through open communication and collaboration. Support career development and empower managers to do the same for their team members. Performance Management: Set goals, monitor performance, and support career development of direct reports. Ensure alignment with functional and organizational objectives. Resource Planning and Utilization: Support resource planning and utilization with senior functional leaders. Ensure efficient allocation of resources to meet business needs. Requirements Requirements 8+ years of proven experience as a Quality Assurance Engineer. Experience with a variety of testing techniques such as Manual Testing, Automation Testing, UI Testing, API Testing, UAT Testing, Regression Testing, Smoke Testing, Test Cases, Test Script Writing, Test Driven Development Strategies, and others. Proven experience in a leadership role in quality assurance in automation testing and manual testing. Strong knowledge of software development methodologies, quality assurance processes, and testing methodologies. Excellent leadership and people management skills, with the ability to motivate and develop a high-performing team. Strong problem-solving and analytical skills, with the ability to identify and resolve complex quality-related issues. Experience working with SDLC and Agile/Scrum methodologies. Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. Strong organizational and time management skills, with the ability to prioritize and manage multiple projects simultaneously. Experience in planning and executing end-to-end testing across API and integrated systems and platforms. Expert level in at least 1 programming language with a preference in JavaScript. Experience managing different testing types: Black box, GUI, Integration, Regression, Backend, System and end to end and user acceptance testing. Experience in Cypress automation framework. Understanding of setting up testing within CI/CD and DevOps environments. Experience with performance and/or security testing is a plus. " , "Work_Experience":null , "Job_Type":"Full time" , "Job_Opening_Name":"" , "State":"Punjab" , "Country":"India" , "Zip_Code":"160071" , "id":"343000001019081" , "Publish":true , "Date_Opened":"2024-11-30" , "Keep_on_Career_Site":false , "Job_Status_Category":false}]

Overview: We don t simply hire employees. We invest in them. When you work at Chatham, we empower you offering professional development opportunities to help you grow in your career, no matter if youve been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day. As a member of the Loan Data Extraction team specializing in institutional real estate clients, you will be primarily responsible for reviewing and extracting data from a variety of real estate source documents, including loan agreements, promissory notes, and guarantees. This process is critical to the accurate modeling of debt portfolios for our clients. You will leverage your expertise to ensure that all data is complete, accurate, and delivered in a timely manner. The ideal candidate will have a background in real estate investment or data management and possess exceptional attention to detail, with the ability to identify and resolve discrepancies or errors in data. Strong analytical skills are essential, particularly in reviewing and extracting information from complex real estate documents. This position reports to the Manager - Loan Data Extraction, based in India. In this role you will: Review and extract information from various types of real estate source documents, such as loan agreements and promissory notes, to model loan cashflows, extension details, and prepayment optionality. Collaborate with internal team members and other stakeholders to ensure that projects and deliverables are completed on time and to the satisfaction of clients. Communicate effectively with internal team members and other stakeholders, using strong verbal and written communication skills to convey complex ideas and information associated with the data extraction and quality assurance process. Complete internal training modules to gain critical skills and knowledge needed to complete extraction responsibilities efficiently and effectively. Your impact: As an Analyst in the Loan Data Extraction team, you will play a critical role in enabling our institutional clients to manage and analyze commercial real estate data efficiently. Your attention to detail and ability to standardize data will ensure that investors can make informed decisions based on accurate insights. You ll collaborate with internal teams to test new products, maintaining the highest standards of data quality. Contributors to your success: Post Graduate degree in Commerce, Accounting, Finance, or related fields. 1-3 years of experience in financial document processing, credit analysis, loan operations, or a similar field. Professional proficiency in speaking and writing Japanese Attention to Detail - Precision is critical when extracting loan terms, interest rates, borrower details, and covenants to avoid costly errors. Understanding of Loan Documents - Familiarity with credit agreements, promissory notes, and term sheets helps in accurately identifying and interpreting relevant data. Data Entry Speed and Accuracy - Efficiently inputting data into systems without mistakes ensures smooth downstream processing and compliance. Critical Thinking & Pattern Recognition - Spotting inconsistencies, missing information, or potential red flags requires an analytical mindset. Effective communication skills - Ability to convey complex ideas and information (verbally or in writing) to internal team members and other stakeholders. Real estate familiarity - Experience working with institutional real estate data or clients is a plus. About Chatham Financial: Chatham Financial is an equal opportunity employer. #LA-onsite #LA

Job Description Design, develop, and optimize large-scale data processing pipelines using PySpark . Work with various Apache tools and frameworks (like Hadoop, Hive, HDFS, etc.) to ingest, transform, and manage large datasets. Ensure high performance and reliability of ETL jobs in production. Collaborate with Data Scientists, Analysts, and other stakeholders to understand data needs and deliver robust data solutions. Implement data quality checks and data lineage tracking for transparency and auditability. Work on data ingestion, transformation, and integration from multiple structured and unstructured sources. Leverage Apache NiFi for automated and repeatable data flow management (if applicable). Write clean, efficient, and maintainable code in Python and Java . Contribute to architectural decisions, performance tuning, and scalability planning. Required Skills: 5 7 years of experience. Strong hands-on experience with PySpark for distributed data processing. Deep understanding of Apache ecosystem (Hadoop, Hive, Spark, HDFS, etc.). Solid grasp of data warehousing , ETL principles , and data modeling . Experience working with large-scale datasets and performance optimization. Familiarity with SQL and NoSQL databases. Proficiency in Python and basic to intermediate knowledge of Java . Experience in using version control tools like Git and CI/CD pipelines. Nice-to-Have Skills: Working experience with Apache NiFi for data flow orchestration. Experience in building real-time streaming data pipelines . Knowledge of cloud platforms like AWS , Azure , or GCP . Familiarity with containerization tools like Docker or orchestration tools like Kubernetes . Soft Skills: Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Self-driven with the ability to work independently and as part of a team.