4 Web Scrapping Jobs

As a Data Engineer, you will be responsible for collaborating with data scientists, software engineers, and business stakeholders to comprehend data requirements and develop efficient data models. Your key tasks will include designing and implementing robust data pipelines, ETL processes, and data integration solutions to ensure scalability and reliability. You will play a crucial role in the extraction, transformation, and loading of data from multiple sources while maintaining data quality, integrity, and consistency. It will be essential to optimize data processing and storage systems to effectively handle large volumes of structured and unstructured data. Additionally, you will be expected to conduct data cleaning, normalization, and enrichment activities to prepare datasets for analysis and modeling purposes. Monitoring data flows and processes, as well as identifying and resolving data-related issues and bottlenecks, will be part of your daily responsibilities. Furthermore, contributing to enhancing data engineering practices and standards within the organization and staying abreast of industry trends and emerging technologies will be vital for your success in this role. In terms of qualifications, you should possess a strong passion for data engineering, artificial intelligence, and problem-solving. A solid understanding of data engineering concepts, data modeling, and data integration techniques is essential. Proficiency in programming languages like Python, SQL, and Web Scraping is required, and familiarity with databases such as NoSQL, relational databases, and technologies like MongoDB, Redis, and Apache Spark would be advantageous. Knowledge of distributed computing frameworks and big data technologies, such as Hadoop and Spark, will be considered a plus. Excellent analytical and problem-solving skills, attention to detail, and strong communication and collaboration abilities are also key attributes for this role. Being self-motivated, a quick learner, and adaptable to changing priorities and technologies are qualities that will help you excel in this position.,

We are seeking a highly skilled computer programmer with 1-2 years of experience who is proficient in both front and back end programming. As a full stack developer, you will be responsible for developing and designing front end web architecture, ensuring application responsiveness, and collaborating with graphic designers on web design features, among other tasks. The ideal candidate will have the ability to take a project from concept to completion, showcasing strong organizational skills and attention to detail throughout the process. Responsibilities include developing front end website architecture, designing user interactions on web pages, creating back-end website applications, establishing servers and databases for functionality, optimizing for cross-platform use on mobile devices, designing and developing APIs, and staying updated on web application and programming language advancements. Key Skills required: - Proficiency in HTML, CSS, and JavaScript - Strong expertise in PHP & Python - Experience in optimized MYSQL/POSTGRES SQL - Familiarity with Web scrapping & CURL - Proficient in Data Handling, computing & releasing - Configuration knowledge of APACHE - Basic understanding of LINUX - Experience in AWS Hosting & Load balancers - Excellent problem-solving abilities If you meet these qualifications and are excited about the opportunity, please reach out to TCI's HR Manager by emailing your CV to career@tradingcafeindia.com.,

Sciative is on a mission to create the future of dynamic pricing powered by artificial intelligence and big data. Our Software-as-a-Service products are used globally across various industries - retail, ecommerce, travel, and entertainment. We are a fast growth-oriented startup, with an employee strength of 60+ employees based in a plush office at Navi Mumbai. With our amazing result-oriented product portfolio, we want to become the most customer-oriented company on the planet. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. We are looking for a dynamic, organized self-starter to join our Tech Team. Responsibilities: - Collaborate with data scientists, software engineers, and business stakeholders to understand data requirements and design efficient data models. - Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions. Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency. - Optimize data processing and storage systems to handle large volumes of structured and unstructured data efficiently. Perform data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modeling. - Monitor data flows and processes, identify and resolve data-related issues and bottlenecks. - Contribute to the continuous improvement of data engineering practices and standards within the organization. - Stay up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricing. Candidate Profile: - Strong passion for data engineering, artificial intelligence, and problem-solving. - Solid understanding of data engineering concepts, data modeling, and data integration techniques. - Proficiency in programming languages such as Python, SQL, and Web Scraping. - Understanding of databases like NoSQL, relational database, In-Memory database, and technologies like MongoDB, Redis, Apache Spark would be an add-on. - Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus. - Excellent analytical and problem-solving skills, with a keen eye for detail. - Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. - Self-motivated, quick learner, and adaptable to changing priorities and technologies.,

Sciative is on a mission to create the future of dynamic pricing powered by artificial intelligence and big data. Our Software-as-a-Service products are used globally across various industries retail, ecommerce, travel, and entertainment. We are a fast growth-oriented startup, with an employee strength of 60+ employees based in a plush office at Navi Mumbai. With our amazing result-oriented product portfolio, we want to become the most customer-oriented company on the planet. To get there, we need exceptionally talented, bright, and driven people. If you'd like to help us build the place to find and buy anything online, this is your chance to make history. We are looking for a dynamic, organized self-starter to join our Tech Team. Collaborate with data scientists, software engineers, and business stakeholders to understand data requirements and design efficient data models. Develop, implement, and maintain robust and scalable data pipelines, ETL processes, and data integration solutions. Extract, transform, and load data from various sources, ensuring data quality, integrity, and consistency. Optimize data processing and storage systems to handle large volumes of structured and unstructured data efficiently. Perform data cleaning, normalization, and enrichment tasks to prepare datasets for analysis and modelling. Monitor data flows and processes, identify and resolve data-related issues and bottlenecks. Contribute to the continuous improvement of data engineering practices and standards within the organization. Stay up-to-date with industry trends and emerging technologies in data engineering, artificial intelligence, and dynamic pricing. Strong passion for data engineering, artificial intelligence, and problem-solving. Solid understanding of data engineering concepts, data modeling, and data integration techniques. Proficiency in programming languages such as Python, SQL and Web Scrapping. Understanding of databases like No Sql, relational database, In-Memory database, and technologies like MongoDB, Redis, Apache Spark would be add ons. Knowledge of distributed computing frameworks and big data technologies (e.g., Hadoop, Spark) is a plus. Excellent analytical and problem-solving skills, with a keen eye for detail. Strong communication and collaboration skills, with the ability to work effectively in a team-oriented environment. Self-motivated, quick learner, and adaptable to changing priorities and technologies.,