At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

B.E Mechanical or Diploma in Mechanical Engineering Exp-5 to8 Must have work knowledge in sheet metal fabrication using solid works Roles and responsiblities:- Design Engineer Job Vacancy: Location: Chennai Education: Bachelor’s Degree in mechanical engineering or equivalent. Key Responsibilities We are looking for the candidates from below mentioned background. Prefer to work with two consultant at the starting. Please organize a call with them to give more clarity. Work experience in 3D CAD Design Software (Solid Edge, SolidWorks, Autodesk Inventor, and Catia etc.,) Knowledge in manufacturing process specifically turning, milling, drilling and grinding Worked in Rnd, reverse engineering, tool-room kind of industrial background – not in the standard prototype(template) kind of work Good knowledge in GD&T , tolerancing method and surface finish – good drafting skills Able to visualize the various views of the component and assembly drawings Related industry – pumps, valves and rotating equipment (If Seal industry background – added advantage). Job Types: Full-time, Permanent Pay: Up to ₹8,000,000.00 per year Benefits: Food provided Health insurance Life insurance Schedule: Day shift Weekend availability Supplemental Pay: Performance bonus Experience: total work: 3 years (Required) Work Location: In person Expected Start Date: 16/06/2025

Key Responsibilities: Design and develop print and digital marketing materials , including brochures, flyers, catalogs, product datasheets, and advertisements. Create packaging designs and labels that comply with industry regulations and brand guidelines. Support the design and layout of technical documentation , safety data sheets, and instruction manuals. Collaborate with marketing, product management, and R&D teams to create visuals that clearly communicate technical information . Produce digital assets for social media, websites, email campaigns, and online advertising. Ensure all visual content aligns with the company’s branding strategy and messaging standards. Retouch and edit images, including before/after application visuals and site photography. Contribute to trade show booth designs , banners, and other promotional displays. Stay updated on industry trends and design best practices relevant to construction, chemicals, and industrial materials. Requirements: Bachelor’s degree in Graphic Design , Visual Communication, or a related field. 2–5 years of design experience, preferably in a technical, industrial, or B2B environment . Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign, etc.). Experience with layout design, packaging, and branding . Strong understanding of print production processes and file preparation. Ability to interpret and visualize technical content in an engaging and accessible way . Excellent attention to detail and time management skills. Job Types: Full-time, Permanent Pay: ₹20,000.00 - ₹25,000.00 per month Benefits: Health insurance Provident Fund Schedule: Day shift Work Location: In person

Title: Textile Graphic Designer Location: Surat Gujrat Department: Design / Product Development Experience Required: 1–3 years Job Summary: We are looking for a creative and detail-oriented Textile Graphic Designer to join our team. The candidate will be responsible for creating original textile designs, prints, patterns, and artwork suited for ethnic and/or western wear, aligning with our brand identity and seasonal trends. Key Responsibilities:  Create all-over prints, placement graphics, embroidery patterns, and motifs for textile products.  Develop designs using Photoshop, Illustrator, CorelDRAW, or other relevant design software.  Collaborate with the design and production teams to ensure the print fits, colors, and styles are on-brand.  Modify and finalize artworks for sampling and production.  Stay updated with market trends, colors, textures, and fashion forecasts.  Maintain a digital library of print artworks and manage revisions as needed.  Coordinate with vendors/printers for sampling and approvals.  Ensure artwork is production-ready with correct sizing, repeat formats, and color standards. Requirements:  Bachelor’s degree/diploma in Textile Design, Fashion Design, or a related field.  Proficiency in graphic design tools like Adobe Illustrator, Photoshop, CorelDRAW.  Strong sense of color theory, fabric types, and design aesthetics.  Ability to visualize and translate ideas into patterns and graphics.  Excellent attention to detail and time management. Preferred Skills:  Experience in ethnic wear, western fashion, or home textiles.  Knowledge of printing techniques: screen, digital, block printing, etc.  Understanding of garment construction and fabric behavior Job Types: Full-time, Permanent Schedule: Fixed shift Morning shift Work Location: In person

Apply Link: https://goodspace.ai/jobs/UI-/-UX-Designer?id=28159&source=campaign_Internshala-Archana_UX-28159 We are seeking a talented UI/UX Designer to join our team! As a UI/UX Designer, you will be responsible for creating intuitive and visually appealing user interfaces for our product. You will conduct user research, wireframe and prototype, and create high-fidelity designs. We are also looking for someone who is comfortable using AI tools like ChatGPT to enhance their workflow and generate design ideas. This role offers the opportunity to work on exciting projects and make a real impact on the user experience. Key Responsibilities of a UI/UX Designer: User Research: Conduct user research to understand user needs, behaviors, and pain points. This involves surveys, interviews, and usability testing. Wireframing and Prototyping: Create low-fidelity wireframes and prototypes to visualize the structure and functionality of the interface. High-Fidelity Design: Develop visually appealing and polished designs, focusing on typography, color palettes, and visual elements. Usability Testing: Conduct usability testing to identify potential problems and ensure the interface is intuitive and easy to use. Collaboration: Work with product managers, engineers, and other stakeholders to bring the design vision to life. Documentation: Create clear and concise design documentation, including user flows, specifications, and design guidelines. Apply Link: https://goodspace.ai/jobs/Python-AWS-Developer?id=28035&source=campaign_Indeed-Archana_AWS-28035 Job Type: Full-time Pay: ₹300,000.00 - ₹600,000.00 per year Benefits: Provident Fund Schedule: Day shift Work Location: In person

About Us Yubi stands for ubiquitous. But Yubi will also stand for transparency, collaboration, and the power of possibility. From being a disruptor in India’s debt market to marching towards global corporate markets from one product to one holistic product suite with seven products Yubi is the place to unleash potential. Freedom, not fear. Avenues, not roadblocks. Opportunity, not obstacles. About Corpository Corpository - Is a full-stack credit lifecycle SaaS platform We are a data aggregator turned data science company offering end-to-end automated, complete lifecycle solutions for credit evaluation, forensic analysis, corporate due diligence, portfolio monitoring and smart lead generation. As oxygen is to life, the Digital Data is to Intelligence. Accurate, timely and reliable digital data, when evaluated using machine learning, delivers decision grade actionable information. Corpository aims at building technologies and solutions to aggregate, curate, inter-relate, visualize, analyze the digital data and deliver powerful guidance for business decisions. We create data-visualization tools that make it easier to understand data and uncover patterns, enabling quicker data-driven analysis and decision-making, faster turnaround time and heightened competitive edge. Our platforms tell you today what others will learn tomorrow.In April 2022, Corpository was acquired by Yubi (formerly known as CredAvenue). Yubi, formerly known as CredAvenue, is re-defining global debt markets by freeing the flow of finance between borrowers, lenders, and investors. We are the world's possibility platform for the discovery, investment, fulfillment, and collection of any debt solution. At Yubi, opportunities are plenty and we equip you with tools to seize it. In March 2022, we became India's fastest fintech and most impactful startup to join the unicorn club with a Series B fundraising round of $137 million. In 2020, we began our journey with a vision of transforming and deepening the global institutional debt market through technology. Our two-sided debt marketplace helps institutional and HNI investors find the widest network of corporate borrowers and debt products on one side and helps corporates to discover investors and access debt capital efficiently on the other side. Switching between platforms is easy, which means investors can lend, invest and trade bonds - all in one place. All of our platforms shake up the traditional debt ecosystem and offer new ways of digital finance. So far, we have on-boarded over 17000+ enterprises, 6200+ investors & lenders and have facilitated debt volumes of over INR 1,40,000 crore. Backed by marquee investors like Insight Partners, B Capital Group, Dragoneer, Sequoia Capital, LightSpeed and Lightrock, we are the only-of-its-kind debt platform globally, revolutionizing the segment. At Yubi, People are at the core of the business and our most valuable assets. Yubi is constantly growing, with 1000+ like-minded individuals today, who are changing the way people perceive debt. We are a fun bunch who are highly motivated and driven to create a purposeful impact. Come, join the club to be a part of our epic growth story. About Role We are seeking a skilled and experienced Engineering Manager to join our team. In this role, you will be responsible for leading a team of backend and frontend developers and ensuring the successful delivery of software solutions. You will be responsible for developing high-quality, efficient, and scalable code that meets business requirements and design specifications. Responsibilities: Lead and manage a team of backend and Frontend developers, providing technical guidance and mentoring Develop high-quality, efficient, and scalable code that meets business requirements and design specifications Collaborate with front-end developers, project managers, and other stakeholders to ensure the seamless integration of front-end and backend systems Design and implement data storage solutions, including databases and caching mechanisms Ensure the reliability, scalability, and security of backend systems Manage deployments and infrastructure, working closely with DevOps teams to ensure the availability and performance of backend systems Keep up-to-date with emerging trends and technologies in backend development and integrate new technologies where appropriate Requirements Bachelor's or Master's degree in Computer Science or a related field, Proven experience as a Full stack developer, with 8 years of experience in a similar role Strong knowledge of Java, programming language Experience with relational and non-relational databases, such as MySQL, MongoDB, or Cassandra Experience with web application frameworks, such as Spring, Flask, or Django Experience with cloud computing platforms, such as AWS or Azure Experience with DevOps tools and practices, such as Docker, Kubernetes, or Ansible Strong leadership and project management skills Excellent communication and interpersonal skills Show more Show less

Description As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Are you a full-cycle learning professional with proven experience delivering innovative learning solutions? Are you excited by invention and innovation? Do you thrive in bringing technology solutions to customers to grow and evolve their businesses? Do you grow and lead through ambiguity? Our Just Walk Out technology Global Education team is seeking an innovative, analytical, and full cycle Learning Program Manager to define, build and implement game-changing, just-in-time learning solutions at scale. Our mission is to be Earth's most innovative and accessible knowledge provider - helping Just Walk Out technology internal and external partners unlock the future of retail. We deliver world-class, scalable knowledge solutions that simplify even the most complex concepts. Our solutions provide users actionable insights at their moment of need, and boost performance to reach KPI targets. Key job responsibilities In partnership with the Sr. Manager, and your Global Customer Education peers, you will deliver innovative, scalable knowledge solutions to support our Just Walk Out customers in achieving their business priorities. You will define business and end-user learning requirements, and partner with technology experts – internal and external – to deploy embedded learning capabilities to our diverse audiences. You will collaborate with subject matter experts to design and maintain knowledge resources which enable moment of need self-service knowledge acquisition and which drive measurable performance impact. You will ensure solutions support friction-free access through all needed media (Guided workflows, AR, VR, and other digital learning) and tools (3P tools, phones, tablets, computers). A day in the life You rigorously evaluate, recommend, design, develop and implement globally scalable learning solutions which drive measurable performance outcomes and solve for targeted performance gaps through advanced use of learning technology. (e.g. including AR, VR, AI, xAPI). You consult with cross-organizational peers and external customers to evaluate performance needs, and demonstrate experience-based high judgement to recommend the appropriate, bar-raising solutions. You Earn Trust with stakeholders to construct and prioritize forward-looking development roadmaps which optimize development capacity and maximize deliverables in a defined period. Your solutions measurably enable customers to achieve targeted business impact outcomes, and integrate seamlessly with tech solutions and operational processes. You use a combination of voice of customer feedback to validate real-world efficacy and objective business data to continuously improve solutions. You proactively maintain working knowledge of the most up to date learning tools, technology and approaches to deliver simplified learning experiences and ensure 3P Customer success in operationalizing our technology. You thrive in a fast-paced, ambiguous environment and operate with a high sense of urgency to deliver results on time and on target. Up to 25% travel may be required About The Team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications 3+ years of program or project management experience 3+ years of working cross functionally with tech and non-tech teams experience Experience defining program requirements and using data and metrics to determine improvements Bachelor's degree Preferred Qualifications 3+ years of driving end to end delivery, and communicating results to senior leadership experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Master's degree in instructional design, business, operations, human resources, adult education, organizational development, or related field. PMP Experience solving for knowledge and performance needs in a physical retail environment. Experience designing and delivering central knowledge bases and in-application learning solutions. Experience developing solutions using the latest industry trends (AI, VR, AR). Experience using Learning Record Store (SRS) and xAPI technologies to surface KPIs and visualize data for impact analysis. Experience authoring with HTML, CSS, and/or web publication tools, web architecture, usability, UX and UI design. Experience building systems and process technical requirement specifications. Experience using API and scripting for tool integration. Experience owning program strategy, end to end delivery, and communicating results to senior leadership. Experience with business and human performance needs consulting, in order to build compelling user knowledge and skills requirement specifications. Experience designing, developing and driving adoption of innovative, scalable knowledge and performance support solutions, from scratch to global audiences. Experience developing blended and multi-media solutions with diverse authoring tools (e.g., Articulate Storyline and 360, MadCap Flare, Adobe Creative Suite, Figma) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad Job ID: A3006870 Show more Show less

About Riodo Media Riodo Media is a results-driven digital marketing agency helping brands scale through compelling visuals, engaging content, and performance marketing. We collaborate with clients across industries like real estate, ecommerce, and manufacturing — delivering content that doesn't just look good, but performs. What You'll Do: Design static and motion graphics for social media, ads, and campaigns Create engaging reels, carousels, and stories for Instagram & Facebook Collaborate with marketing teams to visualize brand messaging Develop marketing assets including banners, thumbnails, and ad creatives Contribute to ideation and content planning Ensure brand consistency across all creative materials Who You Are: Proficient in Photoshop, Illustrator, or other design tools Basic knowledge of video editing (CapCut, Premiere Pro, or similar is a plus) A creative thinker with attention to detail Passionate about content, design, and digital storytelling Ready to turn ideas into visuals that convert? Join us Job Type: Full-time Pay: ₹100,000.00 - ₹300,000.00 per year Supplemental Pay: Performance bonus Education: Bachelor's (Preferred) Work Location: In person

About the Role As a Project Consultant, your responsible for the timely delivery of the project with spectacular quality. You will be the SPOC for the customer and will be responsible to maintain a good customer experience throughout the project timeline in the partial design & complete execution stage till Handover. Your role will involve understanding and amending drawings (2D/3D) of all disciplines (Civil, Electrical, Plumbing, Carpentry, etc) and ensuring quality and timeline related requirements are met. Responsibilities Understand and amend drawings (2D/3D) of all disciplines (Civil, Electrical, Plumbing, Carpentry, etc). Identify and amend design discrepancies and foresee execution risks. Validate & review work orders, BOQs, drawings. Prepare customer friendly detailed project execution schedules highlighting interdependencies of various tasks. Auditing the site work by doing regular site inspections as well as monitoring remotely with quality control. Ensuring that all quality and timeline related requirements are met. Able to give technical input and instructions to the Site supervisor. To ensure timely site updates are available to the customer. A bridge between Designer & Customers execution stage of the project. Updating of project trackers & summaries and sharing weekly progress report to all the stakeholders. Analyze data to identify performance bottlenecks, devise corrective solutions, and own implementation end-to-end. Be the quality custodian of your projects ensuring the superlative customer experience. Ensuring the Checklist and workmethod statements are properly followed at site to give desired quality output. Work with internal functions on key initiatives such as SOPs, pricing and new initiatives. Building vendor relationships and timely addressing the vendors concerns. Qualifications Management Graduate/Construction management, preferably from a Tier I/Tier II Institute. Strong Project Management/Engineering/Architecture background is a must with 8+ years of experience. Have a deep appreciation and understanding of site execution for home renovations. Ability to assess design feasibility, visualize on-site conditions and foresee execution risks. Process-driven project management professionals with quick problem-solving skills. Excellent interpersonal and communication skills. Proactive and capable of prioritizing work. Extremely high level of ownership and learning aptitude. Past experience in managing project management/operations is a core requirement for this role preferable if worked with ops-focused startups. The high degree of comfort on Excel/Google Sheets and strong data analysis skills. Show more Show less

About the Role As a Project Consultant, your responsible for the timely delivery of the project with spectacular quality. You will be the SPOC for the customer and will be responsible to maintain a good customer experience throughout the project timeline in the partial design & complete execution stage till Handover. Your role will involve understanding and amending drawings (2D/3D) of all disciplines (Civil, Electrical, Plumbing, Carpentry, etc) and ensuring quality and timeline related requirements are met. Responsibilities Understand and amend drawings (2D/3D) of all disciplines (Civil, Electrical, Plumbing, Carpentry, etc). Identify and amend design discrepancies and foresee execution risks. Validate & review work orders, BOQs, drawings. Prepare customer friendly detailed project execution schedules highlighting interdependencies of various tasks. Auditing the site work by doing regular site inspections as well as monitoring remotely with quality control. Ensuring that all quality and timeline related requirements are met. Able to give technical input and instructions to the Site supervisor. To ensure timely site updates are available to the customer. A bridge between Designer & Customers execution stage of the project. Updating of project trackers & summaries and sharing weekly progress report to all the stakeholders. Analyze data to identify performance bottlenecks, devise corrective solutions, and own implementation end-to-end. Be the quality custodian of your projects ensuring the superlative customer experience. Ensuring the Checklist and workmethod statements are properly followed at site to give desired quality output. Work with internal functions on key initiatives such as SOPs, pricing and new initiatives. Building vendor relationships and timely addressing the vendors concerns. Qualifications Management Graduate/Construction management, preferably from a Tier I/Tier II Institute. Strong Project Management/Engineering/Architecture background is a must with 8+ years of experience. Have a deep appreciation and understanding of site execution for home renovations. Ability to assess design feasibility, visualize on-site conditions and foresee execution risks. Process-driven project management professionals with quick problem-solving skills. Excellent interpersonal and communication skills. Proactive and capable of prioritizing work. Extremely high level of ownership and learning aptitude. Past experience in managing project management/operations is a core requirement for this role preferable if worked with ops-focused startups. The high degree of comfort on Excel/Google Sheets and strong data analysis skills. Show more Show less

Job Title: Data Analyst – AdTech (1+ Years Experience) Location: Hyderabad Experience Level: 2–3 Years Employment Type: Full-time Shift Timings: 5PM - 2AM IST About The Role We are looking for a highly motivated and detail-oriented Data Analyst with 1+ years of experience to join our AdTech analytics team. In this role, you will be responsible for working with large-scale advertising and digital media datasets, building robust data pipelines, querying and transforming data using GCP tools, and delivering insights through visualization platforms like Looker Studio, Looker, Tableau etc Key Responsibilities Analyze AdTech data (e.g., ads.txt, programmatic delivery, campaign performance, revenue metrics) to support business decisions. Design, develop, and maintain scalable data pipelines using GCP-native tools (e.g., Cloud Functions, Dataflow, Composer). Write and optimize complex SQL queries in BigQuery for data extraction and transformation. Build and maintain dashboards and reports in Looker Studio to visualize KPIs and campaign performance. Collaborate with cross-functional teams including engineering, operations, product, and client teams to gather requirements and deliver analytics solutions. Monitor data integrity, identify anomalies, and work on data quality improvements. Provide actionable insights and recommendations based on data analysis and trends. Required Qualifications 1+ years of experience in a data analytics or business intelligence role. Hands-on experience with AdTech datasets and understanding of digital advertising concepts. Strong proficiency in SQL, particularly with Google BigQuery. Experience building and managing data pipelines using Google Cloud Platform (GCP) tools. Proficiency in Looker Studio Strong problem-solving skills and attention to detail. Excellent communication skills with the ability to explain technical topics to non-technical stakeholders. Preferred Qualifications Experience with additional visualization tools such as Tableau, Power BI, or Looker (BI). Exposure to data orchestration tools like Apache Airflow (via Cloud Composer). Familiarity with Python for scripting or automation. Understanding of cloud data architecture and AdTech integrations (e.g., DV360, Ad Manager, Google Ads). Show more Show less

Company Qualcomm India Private Limited Job Area Miscellaneous Group, Miscellaneous Group > Data Analyst Qualcomm Overview Qualcomm is a company of inventors that unlocked 5G ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. General Summary About the Team Qualcomm's People Analytics team plays a crucial role in transforming data into strategic workforce insights that drive HR and business decisions. As part of this lean but high-impact team, you will have the opportunity to analyze workforce trends, ensure data accuracy, and collaborate with key stakeholders to enhance our data ecosystem. This role is ideal for a generalist who thrives in a fast-paced, evolving environment—someone who can independently conduct data analyses, communicate insights effectively, and work cross-functionally to enhance our People Analytics infrastructure. Why Join Us? End-to-End Impact: Work on the full analytics cycle—from data extraction to insight generation—driving meaningful HR and business decisions. Collaboration at Scale: Partner with HR leaders, IT, and other analysts to ensure seamless data integration and analytics excellence. Data-Driven Culture: Be a key player in refining our data lake, ensuring data integrity, and influencing data governance efforts. Professional Growth: Gain exposure to multiple areas of people analytics, including analytics, storytelling, and stakeholder engagement. Key Responsibilities People Analytics & Insights Analyze HR and workforce data to identify trends, generate insights, and provide recommendations to business and HR leaders. Develop thoughtful insights to support ongoing HR and business decision-making. Present findings in a clear and compelling way to stakeholders at various levels, including senior leadership. Data Quality & Governance Ensure accuracy, consistency, and completeness of data when pulling from the data lake and other sources. Identify and troubleshoot data inconsistencies, collaborating with IT and other teams to resolve issues. Document and maintain data definitions, sources, and reporting standards to drive consistency across analytics initiatives. Collaboration & Stakeholder Management Work closely with other analysts on the team to align methodologies, share best practices, and enhance analytical capabilities. Act as a bridge between People Analytics, HR, and IT teams to define and communicate data requirements. Partner with IT and data engineering teams to improve data infrastructure and expand available datasets. Qualifications Required: 4-7 years experience in a People Analytics focused role Analytical & Technical Skills Strong ability to analyze, interpret, and visualize HR and workforce data to drive insights. Experience working with large datasets and ensuring data integrity. Proficiency in Excel and at least one data visualization tool (e.g., Tableau, Power BI). Communication & Stakeholder Management Ability to communicate data insights effectively to both technical and non-technical audiences. Strong documentation skills to define and communicate data requirements clearly. Experience collaborating with cross-functional teams, including HR, IT, and business stakeholders. Preferred Technical Proficiency Experience with SQL, Python, or R for data manipulation and analysis. Familiarity with HR systems (e.g., Workday) and cloud-based data platforms. People Analytics Expertise Prior experience in HR analytics, workforce planning, or related fields. Understanding of key HR metrics and workforce trends (e.g., turnover, engagement, diversity analytics). Additional Information This is an office-based position (4 days a week onsite) with possible locations that may include India and Mexico Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail myhr.support@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3072633 Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Objectives and Purpose The Senior Data Engineer ingests, builds, and supports large-scale data architectures that serve multiple downstream systems and business users. This individual supports the Data Engineer Leads and partners with Visualization on data quality and troubleshooting needs. The Senior Data Engineer will: Clean, aggregate, and organize data from disparate sources and transfer it to data warehouses. Support development testing and maintenance of data pipelines and platforms, to enable data quality to be utilized within business dashboards and tools. Create, maintain, and support the data platform and infrastructure that enables the analytics front-end; this includes the testing, maintenance, construction, and development of architectures such as high-volume, large-scale data processing and databases with proper verification and validation processes. Your Key Responsibilities Data Engineering Develop and maintain scalable data pipelines, in line with ETL principles, and build out new integrations, using AWS native technologies, to support continuing increases in data source, volume, and complexity. Define data requirements, gather, and mine data, while validating the efficiency of data tools in the Big Data Environment. Lead the evaluation, implementation and deployment of emerging tools and processes to improve productivity. Implement processes, systems to provide accurate and available data to key stakeholders, downstream systems, & business processes. Mentor and coach staff data engineers on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes. Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity. Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes. Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics. Solve complex data problems to deliver insights that help achieve business objectives. Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics. Relationship Building and Collaboration Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives. Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling. Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value. Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity. Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth. Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions. Skills And Attributes For Success Technical/Functional Expertise Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies. Strong business acumen with knowledge of the Pharmaceutical, Healthcare, or Life Sciences sector is preferred, but not required. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata. Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data. Experience with or knowledge of Agile Software Development methodologies. Leadership Strategic mindset of thinking above the minor, tactical details and focusing on the long-term, strategic goals of the organization. Advocate of a culture of collaboration and psychological safety. Decision-making and Autonomy Shift from manual decision-making to data-driven, strategic decision-making. Proven track record of applying critical thinking to resolve issues and overcome obstacles. Interaction Proven track record of collaboration and developing strong working relationships with key stakeholders by building trust and being a true business partner. Demonstrated success in collaborating with different IT functions, contractors, and constituents to deliver data solutions that meet standards and security measures. Innovation Passion for re-imagining new solutions, processes, and end-user experience by leveraging digital and disruptive technologies and developing advanced data and analytics solutions. Advocate of a culture of growth mindset, agility, and continuous improvement. Complexity Demonstrates high multicultural sensitivity to lead teams effectively. Ability to coordinate and problem-solve amongst larger teams. To qualify for the role, you must have the following: Essential Skillsets Bachelor’s degree in Engineering, Computer Science, Data Science, or related field 5+ years of experience in software development, data science, data engineering, ETL, and analytics reporting development Experience designing, building, implementing, and maintaining data and system integrations using dimensional data modelling and development and optimization of ETL pipelines Proven track record of designing and implementing complex data solutions Demonstrated understanding and experience using: Data Engineering Programming Languages (i.e., Python) Distributed Data Technologies (e.g., Pyspark) Cloud platform deployment and tools (e.g., Kubernetes) Relational SQL databases DevOps and continuous integration AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS) Databricks/ETL IICS/DMS GitHub Event Bridge, Tidal Understanding of database architecture and administration Utilizes the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases Processes high proficiency in code programming languages (e.g., SQL, Python, Pyspark, AWS services) to design, maintain, and optimize data architecture/pipelines that fit business goals Strong organizational skills with the ability to manage multiple projects simultaneously and operate as a leading member across globally distributed teams to deliver high-quality services and solutions Excellent written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners Strong problem solving and troubleshooting skills Ability to work in a fast-paced environment and adapt to changing business priorities Desired Skillsets Masters Degree in Engineering, Computer Science, Data Science, or related field Experience in a global working environment Travel Requirements Access to transportation to attend meetings Ability to fly to meetings regionally and globally EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What you’ll be doing... We are on the lookout for a seasoned Digital E commerce product manager with Analytics skills who can bolster our business transformation efforts. This role requires a hands-on expert in the enterprise e-commerce space with a strong B2B acumen, committed to driving key business outcomes. You'll be studying new and emerging trends in B2B to fuel your thinking about where we head next and how well we will transform Verizon's VBG market. You'll explore the current state, and identify gaps and the next big opportunity. And craft a long-term vision and adjust along the way as you respond to the rapidly changing landscape. You'll bring your vision to life from development to go-to-market strategy and into the hands of customers, building better ways for businesses to stay connected. Understanding and anticipating what the market needs. Testing out new ideas and concepts for feasibility and market potential. Design and execute enterprise-level digital analytics strategies, focusing on conversion outcomes. Proficiently use leading tools such Figma , Adobe Analytics, Tableau, Power BI, or Google BigQuery to extract, analyze, and visualize data. Collaborate with cross-functional teams to ensure alignment with business goals. Develop SME level understanding of existing Verizon platforms and commerce flows in order to provide strategic recommendations for enhancements. Work closely with stakeholders across various internal teams to gather requirements and implement enhancements in coordination with UX, design, dev and QA teams. Participate in business case development and presentations for alignment with working teams What we’re looking for… Understanding what customers will want next is your driver. You are creative but balance that with your practical business side. You can juggle several projects with tight deadlines and not drop any balls—while also keeping your eye on the big picture. An environment with lots of competing priorities and new challenges every day is where you thrive. With a knack for working with different types of people, you inspire others to do their best work and carry out your vision. You'll Need To Have A minimum of 2 to 4 years’ experience in developing & implementing e commerce strategy & funnel analysis experience Experience in improving customer experience in e commerce B2B space Experience with digital funnel and campaign analysis for complex eCommerce transactions. Certifications in leading enterprise analytics solutions (Adobe Analytics, Google Analytics, Tableau, Power BI, or Data Analyst Cert) Demonstrated ability to work independently as a self-starter and lead cross-functional teams. Strong communication skills with the aptitude to convey complex data concepts in business terms. Demonstrated ability to work independently as a self-starter and lead cross-functional teams. Even better if you have one or more of the following: Degree an MBA Extensive experience with data modeling, statistical analysis, and predictive analytics. A strategic thinker with a proven record of leveraging analytics for business growth and transformation. Knowledge of design thinking. Digital experience, digital marketing and digital product management either in a business, agency or consulting organization. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. #VBGDXP Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

Description As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. Are you a full-cycle learning professional with proven experience delivering innovative learning solutions? Are you excited by invention and innovation? Do you thrive in bringing technology solutions to customers to grow and evolve their businesses? Do you grow and lead through ambiguity? Our Just Walk Out technology Global Education team is seeking an innovative, analytical, and full cycle Learning Program Manager to define, build and implement game-changing, just-in-time learning solutions at scale. Our mission is to be Earth's most innovative and accessible knowledge provider - helping Just Walk Out technology internal and external partners unlock the future of retail. We deliver world-class, scalable knowledge solutions that simplify even the most complex concepts. Our solutions provide users actionable insights at their moment of need, and boost performance to reach KPI targets. Key job responsibilities In partnership with the Sr. Manager, and your Global Customer Education peers, you will deliver innovative, scalable knowledge solutions to support our Just Walk Out customers in achieving their business priorities. You will define business and end-user learning requirements, and partner with technology experts – internal and external – to deploy embedded learning capabilities to our diverse audiences. You will collaborate with subject matter experts to design and maintain knowledge resources which enable moment of need self-service knowledge acquisition and which drive measurable performance impact. You will ensure solutions support friction-free access through all needed media (Guided workflows, AR, VR, and other digital learning) and tools (3P tools, phones, tablets, computers). A day in the life You rigorously evaluate, recommend, design, develop and implement globally scalable learning solutions which drive measurable performance outcomes and solve for targeted performance gaps through advanced use of learning technology. (e.g. including AR, VR, AI, xAPI). You consult with cross-organizational peers and external customers to evaluate performance needs, and demonstrate experience-based high judgement to recommend the appropriate, bar-raising solutions. You Earn Trust with stakeholders to construct and prioritize forward-looking development roadmaps which optimize development capacity and maximize deliverables in a defined period. Your solutions measurably enable customers to achieve targeted business impact outcomes, and integrate seamlessly with tech solutions and operational processes. You use a combination of voice of customer feedback to validate real-world efficacy and objective business data to continuously improve solutions. You proactively maintain working knowledge of the most up to date learning tools, technology and approaches to deliver simplified learning experiences and ensure 3P Customer success in operationalizing our technology. You thrive in a fast-paced, ambiguous environment and operate with a high sense of urgency to deliver results on time and on target. Up to 25% travel may be required About The Team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications 3+ years of program or project management experience 3+ years of working cross functionally with tech and non-tech teams experience Experience defining program requirements and using data and metrics to determine improvements Bachelor's degree Preferred Qualifications 3+ years of driving end to end delivery, and communicating results to senior leadership experience Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization Master's degree in instructional design, business, operations, human resources, adult education, organizational development, or related field. PMP Experience solving for knowledge and performance needs in a physical retail environment. Experience designing and delivering central knowledge bases and in-application learning solutions. Experience developing solutions using the latest industry trends (AI, VR, AR). Experience using Learning Record Store (SRS) and xAPI technologies to surface KPIs and visualize data for impact analysis. Experience authoring with HTML, CSS, and/or web publication tools, web architecture, usability, UX and UI design. Experience building systems and process technical requirement specifications. Experience using API and scripting for tool integration. Experience owning program strategy, end to end delivery, and communicating results to senior leadership. Experience with business and human performance needs consulting, in order to build compelling user knowledge and skills requirement specifications. Experience designing, developing and driving adoption of innovative, scalable knowledge and performance support solutions, from scratch to global audiences. Experience developing blended and multi-media solutions with diverse authoring tools (e.g., Articulate Storyline and 360, MadCap Flare, Adobe Creative Suite, Figma) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad Job ID: A3006870 Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description A Validation Lead offers solutions on both modular and services scope of work. While modulars are handled by our dedicated vendors across the country, services are delivered through a curated marketplace of Livspace-certified contractor partners and an in-house contracting team. To ensure we are providing the right inputs to our vendor partners and the right inputs are captured from the customers , we have a team who handles the following responsibilities : Validate drawings, BOQ & site. Understand drawings of all disciplines (Modular & Non-modular KWS, furniture, civil, electrical, plumbing,etc) and verify quantities of each line item in the BOQ. Identify design discrepancies and foresee execution risk. Highlight the missing line items in the BOQ. Finalize BOQ after clarifying design discrepancies and a thorough validation at site. Provide error free validation reports within the provided SLA. Job Requirement Diploma/ B. Tech. in Civil Engineering or Architecture. 3+ years of contracting experience (1 yr execution + 2 yr QS) in residential/commercial projects. Ability to assess design feasibility, visualize on-site conditions and foresee execution risks. Proactive and capable of prioritizing work. Extremely high level of ownership. High learning aptitude. Good communication skills – Verbal & Written. Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description A Validation Lead offers solutions on both modular and services scope of work. While modulars are handled by our dedicated vendors across the country, services are delivered through a curated marketplace of Livspace-certified contractor partners and an in-house contracting team. To ensure we are providing the right inputs to our vendor partners and the right inputs are captured from the customers , we have a team who handles the following responsibilities : Validate drawings, BOQ & site. Understand drawings of all disciplines (Modular & Non-modular KWS, furniture, civil, electrical, plumbing,etc) and verify quantities of each line item in the BOQ. Identify design discrepancies and foresee execution risk. Highlight the missing line items in the BOQ. Finalize BOQ after clarifying design discrepancies and a thorough validation at site. Provide error free validation reports within the provided SLA. Job Requirement Diploma/ B. Tech. in Civil Engineering or Architecture. 3+ years of contracting experience (1 yr execution + 2 yr QS) in residential/commercial projects. Ability to assess design feasibility, visualize on-site conditions and foresee execution risks. Proactive and capable of prioritizing work. Extremely high level of ownership. High learning aptitude. Good communication skills – Verbal & Written. Show more Show less

Want to be part of the Data & Analytics organization, whose strategic goal is to create a world-class Data & Analytics company by building, embedding, and maturing a data-driven culture across Thomson Reuters. About The Role We are looking for a highly motivated individual with strong organizational and technical skills for the position of Lead Data Engineer/ Data Engineering Manager (Snowflake). You will play a critical role working on cutting edge of Data Engineering and analytics, leveraging predictive models, machine learning and generative AI to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale data-driven initiatives. Effectively communicate across various levels, including Executives, and functions within the global organization. Demonstrate strong leadership skills with ability to drive projects/tasks to delivering value Engage with stakeholders, business analysts and project team to understand the data requirements. Design analytical frameworks to provide insights into a business problem. Explore and visualize multiple data sets to understand data available and prepare data for problem solving. Design database models (if a data mart or operational data store is required to aggregate data for modeling). About You You're a fit for the Lead Data Engineer/ Data Engineering Manager (Snowflake), if your background includes: Qualifications: B-Tech/M-Tech/MCA or equivalent Experience: 7-9 years of corporate experience Location: Bangalore, India Hands-on experience in developing data models for large scale data warehouse/data Lake – Snowflake, BW Map the data journey from operational system sources through any transformations in transit to its delivery into enterprise repositories (Warehouse, Data Lake, Master Data, etc.) Enabling on the overall master and reference data strategy, including the procedures to ensure the consistency and quality of Finance reference data. Experience across ETL, SQL and other emerging data technologies with experience in integrations of a cloud-based analytics environment Build and refine end-to-end data workflows to offer actionable insights Fair understanding of Data Strategy, Data Governance Process Knowledge in BI analytics and visualization tools: Power BI, Tableau What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future. Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward. As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace. We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here. Learn more on how to protect yourself from fraudulent job postings here. More information about Thomson Reuters can be found on thomsonreuters.com. Show more Show less

Job Title: Data Science Intern (Remote | Unpaid | 3–6 Months) Company: Coreline Solutions Location: Remote Employment Type: Internship (Unpaid) Duration: 3 to 6 Months About Coreline Solutions Coreline Solutions is a forward-thinking technology and business services company dedicated to leveraging data to solve real-world problems. We partner with startups and enterprises to deliver insights, automation, and innovation through data science and AI-driven solutions. About the Internship We are looking for a passionate and curious Data Science Intern to join our team remotely. This internship is designed for students or recent graduates seeking hands-on experience in data science, including machine learning, data engineering, and statistical analysis. Responsibilities Assist in collecting, cleaning, and processing structured and unstructured data Perform exploratory data analysis (EDA) to identify patterns and insights Develop and evaluate machine learning models for prediction or classification tasks Visualize data using tools such as Matplotlib, Seaborn, or Tableau Document project processes, methodologies, and findings Collaborate with the team on data-driven product features and client solutions Preferred Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Engineering, or a related field Basic knowledge of Python and popular libraries such as Pandas, NumPy, Scikit-learn, or TensorFlow Familiarity with SQL and data visualization tools Understanding of machine learning principles and statistical analysis Strong analytical, communication, and problem-solving skills Ability to work independently in a remote team environment What You’ll Gain Hands-on experience in real-world data science projects Mentorship from data professionals Improved technical and analytical skills Exposure to collaborative tools and remote workflows Certificate of completion and a professional letter of recommendation Opportunity to build a project portfolio Equal Opportunity Statement Coreline Solutions is proud to be an equal opportunity organization. We are committed to creating an inclusive environment for all team members and interns, regardless of background, identity, or experience. How to Apply: Submit your resume along with a short note (max 200 words) explaining your interest in data science and this internship opportunity. Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description A Validation Lead offers solutions on both modular and services scope of work. While modulars are handled by our dedicated vendors across the country, services are delivered through a curated marketplace of Livspace-certified contractor partners and an in-house contracting team. To ensure we are providing the right inputs to our vendor partners and the right inputs are captured from the customers , we have a team who handles the following responsibilities : Validate drawings, BOQ & site. Understand drawings of all disciplines (Modular & Non-modular KWS, furniture, civil, electrical, plumbing,etc) and verify quantities of each line item in the BOQ. Identify design discrepancies and foresee execution risk. Highlight the missing line items in the BOQ. Finalize BOQ after clarifying design discrepancies and a thorough validation at site. Provide error free validation reports within the provided SLA. Job Requirement Diploma/ B. Tech. in Civil Engineering or Architecture. 3+ years of contracting experience (1 yr execution + 2 yr QS) in residential/commercial projects. Ability to assess design feasibility, visualize on-site conditions and foresee execution risks. Proactive and capable of prioritizing work. Extremely high level of ownership. High learning aptitude. Good communication skills – Verbal & Written. Show more Show less

About Us Livspace is Asia’s largest and fastest-growing home interiors and renovation platform. Leveraging its proprietary technology, the company delivers end-to-end home interior and renovation solutions, encompassing modular solutions, furniture, false ceilings, soft furnishings, décor, civil works, and more. The company serves homeowners across diverse market segments in India and Singapore. Since the company was founded in 2015, Livspace has revolutionized a highly fragmented industry by setting new benchmarks in quality, innovation, and execution. To date, the company has successfully transformed the homes of over 100,000 satisfied customers through its presence in 80+ cities and 110+ Experience Centres. Backed by marquee investors, the company’s goal is to continue strengthening its dominance in India as an industry leader and the largest employer of interior designers. Livspace remains committed to redefining industry standards by introducing new products and services, enhancing site execution processes, improving manufacturing techniques, and ensuring seamless project delivery—all with the ultimate goal of turning homeowners’ dreams into reality. For more information, please visit: https://www.livspace.com/in/about-us Job Description A Validation Lead offers solutions on both modular and services scope of work. While modulars are handled by our dedicated vendors across the country, services are delivered through a curated marketplace of Livspace-certified contractor partners and an in-house contracting team. To ensure we are providing the right inputs to our vendor partners and the right inputs are captured from the customers , we have a team who handles the following responsibilities : Validate drawings, BOQ & site. Understand drawings of all disciplines (Modular & Non-modular KWS, furniture, civil, electrical, plumbing,etc) and verify quantities of each line item in the BOQ. Identify design discrepancies and foresee execution risk. Highlight the missing line items in the BOQ. Finalize BOQ after clarifying design discrepancies and a thorough validation at site. Provide error free validation reports within the provided SLA. Job Requirement Diploma/ B. Tech. in Civil Engineering or Architecture. 3+ years of contracting experience (1 yr execution + 2 yr QS) in residential/commercial projects. Ability to assess design feasibility, visualize on-site conditions and foresee execution risks. Proactive and capable of prioritizing work. Extremely high level of ownership. High learning aptitude. Good communication skills – Verbal & Written. Show more Show less