Data Analyst in India

Location: Mumbai, India (Andheri East) Description: We’re hiring Senior Software Engineers to lead the design and delivery of robust, scalable, and production-grade data systems across a high-growth, multi-venture environment. This is a high-impact leadership role for someone who thrives in hands-on build mode, and who can scale technical delivery without losing speed, quality, or ownership. If this is interesting, we would love to hear from you! About Blenheim Chalcot Blenheim Chalcot India is part of Blenheim Chalcot a global venture builder headquartered in London. With over 26 years of innovation, we've been at the forefront of creating some of the most groundbreaking GenAI-enabled companies. Our ventures lead the charge in digital disruption across a spectrum of industries, from FinTech to EdTech, GovTech to Media, and beyond. Our global presence spans the US, Europe, and Southeast Asia, with a portfolio that employs over 3,000 individuals, manages assets exceeding £1.8 billion, and boasts total portfolio sales of over £500 million. The role We’re hiring Senior Software Engineers to build scalable products, tools, and systems across our portfolio companies. This is a high-impact role for someone who thrives in hands-on engineering, writes maintainable code, and is deeply motivated by solving real-world problems with technology. You’ll work closely with product and engineering colleagues in both Mumbai and London, driving delivery within a specific business. If you're passionate about engineering craft, product-led development, and delivering systems that scale, we’d love to hear from you. Behaviours that we look for Solve problems rigorously , not reactively - breaking them down into tractable elements and considering multiple paths to resolution. Write clean, defensive code with clear structure and minimal complexity. Think about testing and observability early , automating meaningful tests and implementing relevant metri

Role Description *** Technical Skills:** Exposure to Liquidity Risk reports – PRA LCR, PRA NSFR PRA110 and ILM Able to understand regulations on liquidity risk and write requirements required for remediating adjustments An understanding of the principles of Finance data and report Proficient in interrogating databases via SQL queries An understanding of systems delivery lifecycles and testing principles Proficient in the use of test tools (such as Quality Centre) and test processes (e.g. defect management) Be able to formulate test strategies and confident in running a successful test phase An appreciation of systems and data architectures Proficient in Microsoft Office applications (Word, Excel, Visio, PowerPoint, Project) ** Personal & Professional Skills:** Educated to minimum of post graduate degree level or equivalent Personal Skill Requirements** Ability to professionally and effectively present information Proficiency in problem solving A self-starter with excellent written/verbal communication skills Desire and commitment to make a difference Experience Financial Services Test Experience across both internal reporting and regulatory requirements Experience in testing, driven by IT systems implementation or enhancement, across a large organisation Experience of working in a large banking organisation preferred The role holder will be responsible to functionally understand and test our liquidity core release requirements He/ She is required to perform a detailed data validation to ensure the data reflects accurately across all liquidity returns for all applicable regulations - PRA/EBA/HKMA/US FED etc. He/She needs to furnish UAT dashboards and walkthrough the Reporting Ops of the changes introduced by liquidity core release requirements He/She is responsible to handle various queries raised by Reporting Ops and drive the UAT sign off discussions for asuccessful liquidity release implementation *** Experience:** Financial Services Testing: Experience in tes

Surveyor conducts hydrographic and topographic surveys for dredging support. Utilizes diverse instruments to create precise bathymetric maps, with strict quality control for data integrity. Source: Adani Group | Job ID: 58016

Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join the team as our next Senior Engineering Manager , Twilio’s Segment team. About the job As a Senior Engineering Manager on the Twilio Segment Data platform/ pipelines team, you’ll build and scale systems that process several hundred thousands of data points per second. You will lead the development of high-scale ingestion and data processing systems You'll guide the team in designing, operating and maintaining complex distributed systems, ensuring reliability, performance, and cost-efficiency while querying petabytes of data for our customer data platform (CDP). Responsibilities In this role, you’ll: Own and deliver robust, high-scale routing experiences for Data platforms & pipelines for Twilio Segment. Champion team growth and success, prioritizing mentorship and individual development. Architect and operate always-available, complex distributed systems in cloud environments. Guide technical decisions, articulating trade-offs between cost, p

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. About Okta & Our Culture At Okta, partners are central to our success. The Global Partner Program team equips partners with the operational foundation, resources, and clarity needed to build thriving, long-term Okta practices. Embedded in our Okta culture, we champion conscious leadership, high self-awareness, active empathy, and radical accountability. We focus on the whole human—fostering transparent relationships with our partners while enabling high-velocity growth. Role Overview We are seeking a Global Partner Sales Desk Specialist who brings an outward mindset and strong operational rigour to our partner-led deal flow. Reporting to the Manager of Global Partner Operations, you will be the connective tissue between external partners and internal stakeholders—leading Deal Registration qualification, streamlining quoter-to-order workflows, and driving data integrity across systems. The ideal candidate is a self-aware communicator who thrives in a dynamic environment, embraces continuous learning, and takes pride in elevating both partner and team performance. Location & Structure: Hybrid role with cross-regional timezone support (rotational shifts). Reports to: Manager, Global Partner Operations Key Responsibilities Empathy-Led Deal Registration Management: Review and validate Deal Registrations (DR) with speed and precision, ensuring program compliance while actively removing friction for partners. Serve as an approachable guide to troubles

Executive - Sales - Advertisement provides vital support to the sales team, assisting in executing sales strategies and maintaining client communication. This role focuses on data management and reporting while conducting market research to identify business growth opportunities and supporting overall sales initiatives. Source: Adani Group | Job ID: 57770

This position will be responsible for facilitating sales operations in bunkering through effective interdepartmental liaison, client relationship management, contract management, data reporting, and strategic digitization and automation initiatives Source: Adani Group | Job ID: 57285

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

About the Role Adobe is seeking a Machine Learning Engineer to join the Adobe Genuine Engineering team. This group protects Adobe's ecosystem from fraud, abuse, and misuse using intelligent systems worldwide. In this position, you will build and develop machine learning models from scratch, including custom transformer-based frameworks, to identify fraudulent actions, stop account sharing, and protect the experience of hundreds of millions of users. You will manage the entire model lifecycle: raw behavioral data and feature engineering, architecture development, large-scale GPU training, deployment, and monitoring. The team is actively building in-house behavioral foundation models that learn identity-preserving representations from long sequences of user activity. This is a role for an engineer who wants to own deep learning systems end-to-end — not consume pre-built ones. Key Responsibilities Build and train deep learning models from scratch, including custom transformer and attention-based architectures for long behavioral event sequences. Own the full training stack: event tokenization, temporal and positional embeddings, self-supervised pretraining (e.g., masked modeling, contrastive learning), and downstream fine-tuning. Train large models efficiently on GPU infrastructure using mixed-precision training, gradient accumulation/checkpointing, efficient attention, and distributed strategies (DDP, FSDP, or equivalent). Build and optimize feature pipelines on Databricks and Spark, transforming raw behavioral events into high-quality model inputs. Translate prototypes into production ML systems — scalable, reliable, and observable — and drive inference performance through architectural and serving-side optimization. Contribute to MLOps practices: experiment tracking, model versioning, CI/CD, automated retraining, and

Job Details: Job Description: • Domain knowledge in Product Data Management, concept of Item/Bom, Change Management are essential. • Deep understanding of business processes related to product lifecycle management, including design, development, manufacturing, and support for any works to automate the product data management. • Ability to map business requirements and problems to technical solutions and identify opportunities for process improvement. • Ability to design and architect comprehensive solutions that integrate various components of the PLM system with other enterprise systems. • Experience in creating scalable and sustainable architectures that address current and future business needs and ensuring the a quality delivery of the solution • AI knowledge that can help to optimize the process of automating data entry and validation, and workflow will be an added advantage. • Full-stack software solutions experiences to address customer needs • Web/Windows technology development in .NET, NET Core, ASP.NET C#, node.js • Front End framework in React/Jquery/Javascript • Integration technology, for eg. SSIS. Mulesoft. • Strong skillsets in SQL, relatiotional DB, MSSQL, Postgrep • Strong foundation on HTML, CSS, understanding of old technology in asp, vbscript • Knowledge in cloud technology, container as a service, docker images. • Experience developing containerized applications and services using tools such as Docker and Kubernetes. • Experience using git for code repository management, CI/CD workflow with tools such as GitHub Actions or similar. Qualifications: Required skill set: Domain knowledge in Product Data Management, concept of Item/Bom, Change Management are essential. Experience 3-7yrs with BE/BTech background Full-stack software

SITE SUPERVISOR - S PASS OPERATIONS EXECUTIVE - S PASS LOGISTIC COORDINATOR - W.P F&B TEAM LEADER - S PASS CLERK - W.P PART TIME CASHIER - W.P ELECTRICAL ISTRUMENTATION ENGINEER - S PASS MECHANICAL SUPERVISOR - S PASS HR & ADMIN EXECUTIVE - S PASS DELIVER VEHICLE DRIVER - W.P HUMAN RESOURCE / ADMIN OFFICER - S PASS DATA ENTRY ASSISTANT - W.P BILLING & ADMIN ASSISTANT - W.P & S PASS BOTH ASSISTANT RESTAURANT MANAGER - E PERMIT ARCHITECTURAL SUPERVISOR - S PASS F&B WAITER (ROOM sERVICE) - W.P NIGHT SECURITY OFFICER - W.P HR &ACCOUNTS ADMIN EXECUTIVE - S PASS PAYROLL & HR SUPPORT EXECUTIVE - S PASS ELECTRICAL ENGINEER - W.P & S PASS BOTH FOOD & BEVERAGE (F&B) EXECUTIVE - S PASS PROJECT TEAM LEAD (JAVA) - E PERMIT IT PROJECT MANAGER (LAB AND IT ) - E PERMIT UI/UX DESIGNER - E PERMIT SOFTWARE DEVELOPMENT MANAGER - E PERMIT ALL S PASS AND E PASS OPENING AS PER COMPANY REQUIREMENT MINIMUM 2 YEARS EXP REQUIRED IT'S DIRECT SELECTION ONLY EXP CANDIDATE NEED NO INTERVIEW. Contact :-SINGAPORE REQUIREMENT GET PERMIT IN 30 WORKING DAYS NO HIDDEN CHARGES NOT MORE COSTLY W.P (WORK PERMIT) COST - ( 1.7 LAKH WITH DOCUMENTS 35 THOUSAND REQUIRED ) S PASS COST - ( 2.5 LAKH WITH DOCUMENTS 40 THOUSAND REQUIRED ) E PERMIT COST - (3.2 LAKH WITH DOCUMENTS 50 THOUSAND REQUIRED ) IF ANY ONE INTERESTED THEN CONTACT ME AS SOON AS POSSIBLE.

Location : Coimbatore - Peelamedu / Kalapatti / Thennampalayam / Arasur / Neelambur / Ondipudur / Sulur / Saravanampatti / Kurumbapalayam / Kovilpalayam / Thudiyalur / Periyanaickenpalayam / Idikarai Contact : 88702 66194 Qualification : 10th / 12th / Any ITI / Diploma / Degree Freshers / Experience : 0 to 2 yrs. Salary : Rs.20000/- to 26000/- Timing : 8 Hrs Shift + (OT Extra) Position : • Machine Operators • Machinists • CNC Operators • VMC Operators • Trainee • Assistants • Helpers • Electricians / Electrical Maintenance • Data Entry / Store & Warehouse Executives Sunday Holiday Room Free..! Canteen & Mess Available..! ESI, PF, Bonus Available..! Contact : Ayush - 88702 66194

ABOUT US Nestem Technologies is ISO 9001:2015 Certified and Govt Recogonized Leading Healthcare BPO Service provider. Medical Coding Job offered For US Healthcare BPO. Also Nestem Provides Pharmacovigilance, Clinical Research and Clinical Data Management Courses with Assured Placements MEDICAL CODING Medical Coding is the process of converting Verbal Descriptions into numeric or alpha numeric by using ICD 10-CM, CPT and HCPCS. ELIGIBILITY UG / PG in Life Science, Medical, Paramedical, Dental, Pharmacy, physiotherapy, Nursing, Microbiology, Biochemistry, Biotechnology, Biology, Bio-Medical, Botony, Zoology, Bioinformatics, Genetics, BAMS, BHMS, BSMS, BNYS, BUMS, BEMS, Nutrition & Dietetics, Neuro Science, Food Microbiology, Industrial, Medical, Applied Microbiology, Genomics, Plant Biology, Advance Zoology COURSE OFFERED FOR FRESHERS 1. Medical Coding For Beginners (MCB) 2. Advance certification in Medical Coding (ACMC) HIGHLIGHTS OF NESTEM TECHNOLOGIES ISO 9001:2015 Certified and Govt Registered Institution Presentation and Video Classes by well Experienced Certified Trainers Complete Anatomy, Physiology and Pathology Training Complete Medical Coding (ICD-10 CM, CPT-4 & HCPCS) Training Complete Coverage of Industrial Requirement Flexible Class Timings, Placements with Certification High End Study Materials Software's for Practice, Free Communication, Technical & Attitude Classes PLACEMENTS & PAY DETAILS FOR TRAINED After successful completion of the Training job offer will be provided in Leading MNC's. Placements will be in Chennai, Vellore, Trichy, Coimbatore, Salem, Pune, Bangalore & Hyderabad. 10700/- to 14600/- PM initially DIRECT PLACEMENT ONLY IN CHENNAI *We provide direct placement for those having well knowledge in Human Anatomy & Physiology at FREE OF COST. This assistance will be given at our specific MNC Client in Chennai. For further Information Call us on 860 8291 818

Requirement For Core Banking Profile Bank II 9477707838 Male Or Female Both Can Apply Face To Face Walk-in Interview Is Going On Qualification 12th to Graduate Age Between 18 to 35 year Job Posting Depends As Per Your Pin-code Wise Location Job Role :- Office Executive Data Entry Operator Kyc Verification Officer Back Office Executive Skills :- Good Communication & Basic Computer Knowledge Full Time & Permanent Job Sal :- 21000 - 35000 Benefits :- Medical, P.F, ESIC, Flexible Hour Contact To HR Segment 9477707838 & Send Me Your On My Whats app We Are Not Any Type Of Consultancy