Data Logging Jobs in Ahmedabad

Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Job Title: Data Science Intern AI/ML Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a curious and motivated AI/ML Intern to join our Data Science team. This internship offers a fantastic opportunity to gain hands-on experience working on real-world machine learning and AI projects. You ll collaborate with experienced data scientists and engineers, apply algorithms to solve practical problems, and contribute to innovative research and development efforts. Key Responsibilities Assist in building, training, and evaluating machine learning models using Python. Support AI/ML research, experimentation, and proof-of-concept development. Perform data collection, cleaning, exploration, and visualization. Apply statistical methods and ML algorithms to solve analytical challenges. Document experiments, models, and processes clearly and thoroughly. Work closely with cross-functional teams including engineering and product. Proficiency in Python and libraries like scikit-learn, pandas, NumPy. Basic understanding of machine learning concepts, statistics, and data modeling. Experience with academic, personal, or internship-based AI/ML projects. Familiarity with tools such as TensorFlow, scikit-learn, or Azure ML. Eagerness to learn and apply new techniques. Strong analytical thinking and communication skills. Bonus Skills (Preferred but not required) Experience with Jupyter Notebooks, Google Colab, or cloud-based ML tools. Knowledge of deep learning frameworks (TensorFlow, Keras, PyTorch). Exposure to Azure Machine Learning, MLflow, or MLOps. Understanding of data pipelines and basic SQL. Work on cutting-edge AI/ML projects with real-world impact. Learn directly from seasoned data science professionals. Be part of a collaborative and growth-oriented environment. Potential pathway to full-time employment based on performance.

Job Title: Digital Marketing and Content Writer Experience: 2 3 Years Location: Rajkot, Gujarat Vacancy: 1 Job Type: Full-Time Job Overview: We are seeking a versatile and skilled Digital Marketing and Content Writer with 2 3 years of experience to drive our online marketing initiatives and create compelling, SEO-optimized content. The ideal candidate will excel in both digital marketing strategies and technical content creation to support business growth and enhance brand visibility. Key Responsibilities: Digital Marketing & SEO: Develop and execute comprehensive digital marketing and business growth strategies. Manage Bulk WhatsApp Messenger, SMS, and Email marketing campaigns effectively. Collect and maintain data using Excel and relevant software. Conduct thorough on-site and off-site SEO competitive analysis. Utilize tools like Google Analytics, Google Ads, and other platforms to monitor and report campaign performance. Lead keyword research and optimize content for search engines. Stay updated on the latest SEM trends and innovate marketing strategies. Manage social media marketing campaigns to drive traffic and engagement. Build and maintain strong client relationships. Provide product and service support to customers via digital channels. Report directly to the Head of Department (HOD) on a daily basis. Technical Content Writing: Research and write high-quality content including product descriptions, user manuals, website content, blogs, and video scripts. Produce well-researched and accurate content for online and print publications. Manage writing schedules to meet deadlines. Optimize content using keywords, meta tags, and SEO best practices. Collaborate with design and development teams to ensure content aligns with brand messaging. Review, edit, and proofread content for clarity and quality. Use analytics tools to derive actionable insights and improve content strategies. Eligibility & Skills Required: 2 to 3 years of experience in digital marketing and content writing. Strong knowledge of SEO, content marketing, email marketing, social media marketing, and paid advertising. Proficiency in tools like Google Analytics, Google Ads, and social media platforms. Ability to conduct keyword research and create SEO-optimized content. Excellent writing, editing, and proofreading skills. Strong analytical mindset with experience in data-driven decision making. Certifications such as Google Ads, Google Analytics, Facebook Blueprint, or HubSpot are highly desirable. Familiarity with industry trends through continuous learning (blogs, podcasts, news). Personal Attributes: Creative thinker with excellent communication skills. Ability to work independently and collaboratively within a team. Self-motivated, proactive, and adaptable to changing business needs. Strong organizational skills and ability to manage multiple projects. Work with a dynamic team based in Rajkot focused on innovation and growth. Opportunity to develop your career in both digital marketing and content creation. Exposure to diverse projects and latest marketing tools.

Job Title: Back End Developer Location: Ahmedabad, India Education: Any Graduate About Media NV Founded in 2014, Media NV is a North America headquartered multinational company with offices in Ahmedabad and Chandigarh. At Media NV, we operate like a close-knit family passionate, driven, and dedicated to excellence. We harness creativity, technology, and innovation to help businesses integrate seamlessly with the digital world and scale their brand presence. We are currently looking to expand our team with a skilled Back End Developer based in Ahmedabad. Key Responsibilities Back End Development: Design, develop, and maintain scalable backend systems using Node.js, TypeScript, and Nest.js. Implement efficient server-side logic for high performance and reliability. Database Management: Manage and optimize NoSQL and SQL databases (MongoDB, PostgreSQL preferred). Ensure data security, integrity, and optimal database performance. API Development: Develop and maintain RESTful and GraphQL APIs; experience with gRPC is a plus. Collaborate with front-end teams to ensure seamless API integration and usability. Team Leadership & Mentorship: Lead and mentor developers, conduct code reviews, and enforce coding standards. Performance Optimization: Identify bottlenecks, troubleshoot issues, and optimize backend performance. Implement logging and monitoring solutions for robust system health tracking. Security: Apply best security practices to protect backend systems and data. Stay updated on security vulnerabilities and implement timely fixes. Collaboration: Work closely with front-end developers, QA teams, and product managers to deliver integrated solutions. Troubleshooting & Debugging: Investigate and resolve technical issues in development and production environments. Continuous Learning: Keep abreast of latest backend development trends, tools, and frameworks. Advocate for and implement new technologies where appropriate. Additional Skills & Qualifications Experience with Product-Oriented Architecture and microservices implementation. Familiarity with messaging systems like Kafka or RabbitMQ. Exposure to front-end frameworks such as React or SvelteJS is a plus. Comfortable with project management tools like JIRA and source control tools like GitHub. Ability to work independently and take initiative. Strong problem-solving skills and ability to write clean, testable, reusable code. Competitive salary with guaranteed increments. Share options. 5-day workweek (Monday to Friday). Comprehensive health insurance benefits. Monthly team dinners and regular outings. Supportive, collaborative, and growth-oriented work environment. Generous leave policy. Excellent platform for professional development and learning. Qualification : Any Graduate

Windows Desktop Developer Key Responsibilities: Develop & Optimize Application: Build a robust, user-friendly desktop application tailored for Windows OS kiosks. Integrate core features such as slot booking, menu ordering, selfie capture, and advertising. Optimize the application to handle multitasking efficiently and ensure high performance. UI/UX Design & Security: Implement a secure, interactive UI/UX design specifically for kiosk environments. Ensure the application is stable, secure, and capable of running continuously, 24/7. Collaboration & Backend Integration: Collaborate closely with backend developers to ensure smooth communication with APIs and database systems. Troubleshoot, debug, and iterate on the application based on user feedback and evolving requirements. Application Maintenance: Regularly upgrade and maintain the kiosk application to ensure it meets new functionalities and security standards. Requirements: Technical Expertise: Strong experience with C# and the .NET Framework/WPF for Windows application development. Proven ability to develop interactive kiosk applications and ensure their performance and usability. Familiarity with Windows services, threading, and file system management. Hardware Integration: Experience working with hardware such as touchscreens, printers, and cameras for kiosk functionality. Knowledge of multimedia playback, ad display systems, and live feed integration. Security & Version Control: Solid understanding of security protocols for kiosk environments to ensure data privacy and protection. Proficiency in version control systems like Git to manage codebase and track development progress. Preferred Skills: Experience with IoT or hardware communication protocols. Knowledge of Windows Presentation Foundation (WPF) and MVVM architecture for building scalable and maintainable applications. Familiarity with video and image processing libraries. Prior experience in deploying and maintaining kiosk applications in production environments.

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Data Miner / Business Development Executive Job Description: Lead Generation: Conduct lead generation through various platforms such as Apollo, online directories (Yellowpages, Pinkpages, AIA), Google search, and more to identify potential clients. Email Marketing: Execute email marketing campaigns, targeting potential leads and nurturing existing ones. Lead Follow-Ups: Actively follow up on generated leads to convert them into potential business opportunities. LinkedIn Outreach: Utilize LinkedIn to engage with prospects, build relationships, and generate business leads. Database Management: Manage and maintain an up-to-date database using HubSpot CRM software, ensuring accurate records and efficient workflow. Data Scraping: Use various data scraping tools such as Webscrapper, Data Miner, and Instant Data Scraper to gather valuable information and insights for lead generation. Requirements: Qualifications: Any graduate/postgraduate (MBA preferred). Shift Timings: Day Shift: 10:00 AM to 07:00 PM (During training period). Post-training shift timings will be determined by the Project Manager. Working Days: 5 working days per week. Qualification : Any graduate/postgraduate (MBA preferred).

Job Title: Digital Marketing Manager Job Description: We are seeking a Digital Marketing Manager with deep expertise in developing, implementing, and optimizing strategies for on-page and off-page optimization. The ideal candidate will have a strong track record in driving organic traffic, managing SEO campaigns, and analyzing digital performance to optimize marketing efforts. Responsibilities: Strategy Development & Optimization: Develop, implement, and continuously optimize SEO strategies and initiatives. Conduct on-page and off-page SEO optimization for websites to improve rankings and visibility. Keyword Research & Analysis: Perform keyword research and competitive analysis to identify opportunities for ranking improvements. Implement strategies to achieve top rankings in organic search results. Traffic Growth: Drive traffic by achieving high organic search rankings across major search engines. Create and manage XML sitemaps and submit them to search engines. Data Analysis: Use web analytics tools (e.g., Google Analytics) to monitor performance and identify areas for improvement. Analyze SEO reports and provide insights to management. Social Media & Networking: Engage with social media platforms and networking websites to increase site traffic and brand visibility. Staying Updated: Stay up-to-date with the latest search engine algorithms, techniques, and trends. Website Optimization: Optimize key website elements like title tags, meta descriptions, keyword density, internal linking, and sitemaps. Provide documentation on keyword strategies and link-building efforts. Link Building Strategy: Develop and execute link-building strategies that align with SEO goals. Ensure a natural, high-quality link profile through strategic link-building and partnership efforts. Blogging & Content: Leverage blogging platforms like WordPress and Blogger to improve visibility and search rankings. Link Submission & Off-Page Optimization: Handle various off-page SEO activities, such as social bookmarking, directory submissions, and article submission. Minimum Qualifications: Education: BCA, B.E./B.Tech, MCA, M.Tech, or equivalent degree in a relevant field. Experience: 10-15 years of overall experience, with at least 8 years of relevant experience in digital marketing, SEO, and content optimization. Preferred Qualifications: Experience: Strong hands-on experience with SEO tools (Google Analytics, SEMrush, Ahrefs, etc.) and SEO best practices. Experience: Experience in link-building strategies, content marketing, and social media engagement. Skills: Deep understanding of SEO, keyword research, and on-page/off-page optimization. Skills: Ability to analyze data and create actionable reports. Skills: Excellent written and verbal communication skills. Skills: Ability to adapt to new trends and technologies in the digital marketing landscape. Why Join Us: Opportunity to work with a dynamic team and drive impactful results. Work in an environment where your contributions directly influence business growth and digital strategy. Access to resources and tools to develop your digital marketing skills further. Qualification : BCA, B.E./B.Tech, MCA, M.Tech, or equivalent degree in a relevant field.

Job Title: Field Service Engineer About ABB: At ABB, we are dedicated to addressing global challenges. Our core values care, courage, curiosity, and collaboration are the driving forces behind our commitment to creating sustainable solutions. We focus on diversity, inclusion, and equal opportunities, empowering everyone to be a part of a transformative future. Write the next chapter of your ABB story. Reports to: Service Operations Manager Your Role and Responsibilities: As a Field Service Engineer, you will be responsible for executing service work with low to medium complexity according to work instructions, ABB standard processes, quality standards, and safety guidelines. You will be delivering quality customer service to ensure customer satisfaction and, in close collaboration with customers and other ABB teams, take actions to identify new Service business opportunities for ABB. This position is within ABB's Motion Business for the Service division, based in Ahmedabad, India. Work model: On-site #LI-onsite Key Responsibilities: Contribute to customer satisfaction by executing service work according to customer orders and expectations. Understand the sense of urgency and take proper care in handling your direct area of responsibility. Perform entry-level field service tasks, identify technical problems, and analyze issues through remote or on-site activities for service categories and products you are certified to perform. Prepare material lists for service activities and ensure that all materials, parts, and equipment are available and meet the appropriate quality standards for the service activities. Prepare documents and customer reports to be signed by the customer representative and utilize all relevant tools for documentation. Troubleshoot simple equipment failures and make recommendations to avoid repeat issues in the future. Proactively execute work with a first-time right approach to ensure the job is done on time and meets quality standards. Qualifications for the Role: Education: Degree in B-Tech/BE - Electrical or Electronics. Experience: Minimum 2 to 6 years of experience with Low/Medium Voltage Drives, VFD drives, and LCI. Experience with Installation & Commissioning of VFD Drives and Field Service. Travelling is mandatory for this role. Strong technical support skills for field service activities. Ability to work under pressure and handle critical customer-facing situations. More About Us: ABB Motion Services serves customers globally, offering innovative services to maximize performance, uptime, and energy efficiency throughout the lifecycle of electrical motion solutions. Electrical motion is applied in a variety of industries, cities, infrastructure, and transportation, playing a pivotal role in the energy revolution. At ABB Motion, we are committed to driving innovations through digitalization and making a meaningful difference for our customers and partners every day. Our people and culture are the foundation of our success, helping to keep the world turning while saving energy every day. Qualification : Degree in B-Tech/BE - Electrical or Electronics.

Job Title: Data Mining Executive Job Summary We are seeking a highly analytical Data Mining Executive to join our team. The ideal candidate will be responsible for gathering, analyzing, and extracting valuable insights from various datasets to support business decision-making. This role involves using advanced data mining techniques, conducting secondary research, and leveraging tools such as LinkedIn Sales Navigator to drive business opportunities. You will work closely with clients and internal teams to ensure accurate and actionable data is provided. Key Responsibilities Data Mining: Gather and analyze large datasets to extract meaningful insights and patterns to inform business strategies. Secondary Research: Conduct thorough secondary research to gather relevant data, industry trends, and competitor analysis to drive business decisions. Client Communication: Communicate effectively with clients to understand their data requirements and provide them with valuable insights and reports. Spreadsheet Management: Maintain and update spreadsheets to organize data, track project progress, and monitor deadlines. Outreach: Use LinkedIn Sales Navigator and other tools to support business outreach, gather client-specific data, and assist in client acquisition. Reporting and Analysis: Prepare detailed reports based on data mining and analysis to present findings to clients or senior management. Skills Required Data Mining: Experience in extracting and analyzing large sets of structured and unstructured data. Secondary Research: Strong research skills to gather relevant data from various sources. LinkedIn Sales Navigator: Proficiency in using LinkedIn Sales Navigator for client outreach and data collection. Spreadsheet Management: Expertise in managing and analyzing data using Excel or Google Sheets. Market Research: Ability to analyze market trends and competitor data to support business goals. Qualifications Any Graduate (Preferably in Business, Marketing, or related fields). Qualification : Any Graduate (Preferably in Computer Science or related field).

Job Title: Data Engineer Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions. Key Responsibilities Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization. Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts. Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages. Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation. Work on data analysis projects and continuous improvement programs to support internal projects. Use data visualization and reporting tools like Power BI/SSRS to create and publish reports. Write high-quality, clean, and maintainable code. Collaborate with cross-functional teams to define, design, and ship new features. Identify and fix bugs in existing code and optimize the performance of our applications. Ensure proper documentation for all tasks and deliverables. Requirements 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI. Solid Python development skills, particularly for data manipulation or back-end API/framework development. Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture. Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation. Proven ability to write complex SQL queries and optimize them for performance. Experience managing production support for ETL projects and handling deployment activities. Tools and Activities Experience Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server. Databases: SQL Server, MySQL, DB2. Data Visualization Tools: Microsoft Power BI, SSRS. Cloud: Azure (preferred). Skill Sets: Python, SQL Server, PowerBI, Azure (plus). Desired Skills Strong analytical skills with the ability to write and optimize SQL queries effectively. Excellent problem-solving and troubleshooting skills, particularly in a production support environment. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills for reporting and collaborating across teams.

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

Job Title: Data Scientist Experience: 4+ Years Educational Qualification: B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university Role Description We are seeking a skilled Data Scientist to join our team. The ideal candidate will identify valuable data sources, automate data collection processes, and analyze large datasets to uncover trends and patterns. This role involves building predictive models and machine-learning algorithms, collaborating with cross-functional teams, and proposing data-driven solutions to business challenges. Key Responsibilities Identify, collect, and automate data acquisition from valuable sources. Pre-process structured and unstructured data for analysis. Analyze large datasets to discover patterns and trends. Develop and implement predictive models and machine-learning algorithms. Combine multiple models using ensemble modeling techniques. Visualize data and present findings through dashboards and reports. Propose innovative solutions and strategies to address business challenges. Collaborate with engineering and product development teams for seamless integration of data solutions. Required Skills & Experience 4+ years of experience as a Data Scientist or Data Analyst with hands-on data mining experience. Proficiency in business intelligence tools (e.g., Power BI) and data frameworks (e.g., Hadoop). Experience querying databases and using statistical programming languages: Python, SQL, etc.; familiarity with Scala, Java, or C++ is a plus. Strong understanding of statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Tree-based models, and text mining. Expertise in advanced machine learning algorithms: regression, clustering, simulation, scenario analysis, decision trees, neural networks, etc. Solid foundation in machine learning, operations research, and advanced statistical methods. Strong analytical mindset with business acumen and problem-solving capabilities. Excellent project management and organizational skills. Nice-to-Have Skills Strong math skills (e.g., statistics, algebra). Experience working in dynamic, cross-functional environments with diverse teams. Ability to work with data and analytics experts to enhance the functionality of data systems. Qualification : B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university

We are seeking a talented Node.js TypeScript Developer to join our growing team. The ideal candidate will have a strong background in developing scalable applications using Node.js and TypeScript, as well as hands-on experience with AWS services, including Lambda, API Gateway, DynamoDB, and OpenSearch. You will be responsible for designing, developing, and maintaining serverless applications and APIs that support our business needs. Roles & Responsibilities: Design and develop serverless applications using Node.js and TypeScript. Implement and manage APIs using AWS API Gateway. Create and optimize DynamoDB data models and queries for efficient data access. Integrate OpenSearch for advanced search capabilities within applications. Collaborate with cross-functional teams to define, design, and deliver new features. Write clean, maintainable, and well-documented code. Conduct code reviews and provide constructive feedback to peers. Troubleshoot and debug applications to ensure high performance and reliability. Stay updated with the latest industry trends and technologies related to AWS and serverless architecture. Requirement: Bachelor s degree in Computer Science, Engineering, or a related field. Proven experience with Node.js and TypeScript. Strong understanding of AWS services, particularly Lambda, API Gateway, DynamoDB, and OpenSearch. Experience with serverless architecture and microservices. Familiarity with RESTful APIs and web services. Knowledge of CI/CD processes and tools (e.g., AWS CodePipeline, Jenkins). Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities. Knowledge of containerisation technologies (e.g., Docker). Familiarity with monitoring and logging tools (e.g., CloudWatch, ELK Stack). Qualification : Bachelors degree in Computer Science, Engineering, or a related field.

Bytes Technolab is a comprehensive web application development company, established in 2011, with a global presence in the USA, Australia, and India. Since its inception, Bytes has consistently demonstrated excellence in innovative web development, eCommerce solutions, and mobile application development services. Roles & Responsibilities: Cloud Infrastructure Solutions: Design, implement, and maintain scalable and reliable cloud infrastructure solutions leveraging GCP and AWS services. Kubernetes Cluster Management: Deploy, configure, and manage Kubernetes clusters on both GCP and AWS, ensuring smooth integration with RabbitMQ for reliable messaging. Collaboration with Development Teams: Collaborate with software development teams to optimize application deployment, monitoring, and performance in a cloud environment. RabbitMQ Management: Implement and manage RabbitMQ messaging queues for efficient communication between services, ensuring reliability and performance. CI/CD Pipeline Management: Develop and maintain CI/CD pipelines for automated application deployment and release management, integrating RabbitMQ as part of the pipeline. Infrastructure as Code (IaC): Implement IaC using tools like Terraform or CloudFormation, ensuring consistent and repeatable deployments across the cloud environment. Monitoring and Troubleshooting: Monitor and troubleshoot system and application performance, including RabbitMQ queue performance optimization. Compliance and Security: Conduct regular audits to ensure adherence to industry best practices and security standards, with a particular focus on messaging queue security. Cross-Functional Collaboration: Work with cross-functional teams to resolve infrastructure and deployment-related issues, with a focus on messaging queues and cloud environments. Continuous Learning and Evaluation: Stay up-to-date with the latest trends in DevOps, cloud computing, and messaging queue technologies to evaluate their applicability to the organization. Skills Required: Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent work experience. Experience: Proven experience as a DevOps Engineer or in a similar role, with a strong focus on Kubernetes, GCP, AWS, and RabbitMQ. Kubernetes Expertise: In-depth knowledge of Kubernetes, including cluster management, deployment, and troubleshooting in both GCP and AWS environments. Cloud Platforms Knowledge: Hands-on experience with GCP services (e.g., compute engine, Kubernetes engine, cloud storage) and AWS services (e.g., EC2, ECS/EKS, S3, RDS). Scripting and Automation: Proficiency in scripting languages such as Python, Bash, or PowerShell for automating infrastructure management and application deployments. Configuration Management: Familiarity with configuration management tools like Ansible, Chef, or Puppet. CI/CD Principles: Solid understanding of CI/CD principles, with experience using tools like Jenkins, GitLab CI/CD, or CircleCI. Containerization and Orchestration: Experience with Docker for containerization and Kubernetes for container orchestration. RabbitMQ Expertise: Strong understanding of RabbitMQ, including setup, configuration, clustering, and ensuring message reliability. Problem-Solving Skills: Strong problem-solving skills with the ability to troubleshoot complex issues in a distributed, cloud-based environment. Communication & Collaboration: Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders. Certifications: Professional certifications related to cloud computing, Kubernetes, DevOps, or RabbitMQ are highly desirable. Additional Skills: Experience with other cloud platforms like Azure or IBM Cloud is a plus. Familiarity with monitoring and logging tools such as Prometheus, Grafana, ELK Stack, or Splunk. Understanding of infrastructure security principles, particularly for messaging queues. Experience with database administration (SQL or NoSQL) is beneficial. Familiarity with Agile development methodologies. Qualification : Bachelor's degree in computer science, engineering, or a related field (or equivalent work experience).

About the Team: The Transactions Division at S&P Global Market Intelligence focuses on publishing data related to Mergers & Acquisitions (M&A) and Capital Markets. The team is responsible for collecting, validating, and analyzing corporate transaction data using various sources, such as search tools, press releases, company websites, stock exchange platforms, and regulatory filings. This data is curated and provided to clients in the form of a comprehensive, accurate, and timely product. The Impact: This role plays a crucial part in shaping the Transactions Dataset. As an analyst, you will be involved in collecting and validating data while working closely with peers and stakeholders on process improvements. This position offers an excellent opportunity to gain hands-on experience in the M&A, Private Offerings (PO), and Public Placements (PP) domains. You will deepen your understanding of financial reporting standards, corporate actions, and apply this knowledge in a practical setting. What s in it for You: You will be primarily responsible for the daily collection and validation of transactional data. As you develop a strong understanding of the dataset and become proficient in workflows, you will also have the opportunity to mentor new talent, helping them build their skill set. Additionally, you will be involved in process improvement initiatives, including LEAN and automation projects, that support various S&P Global Market Intelligence products. Key Responsibilities: Data Collection & Validation: Accurately extract, analyze, and input data into work tools according to specified guidelines. Ensure the integrity and quality of the collected data. Data Sources & Research: Utilize search tools, press releases, company websites, regulatory filings, and trade documents to extract and verify transaction data. Dataset Understanding: Develop a deep understanding of the dataset and workflows, becoming proficient in using the work tools and ensuring timely data delivery. Target Achievement: Meet individual and team targets while maintaining a focus on delivering high-quality, error-free results. Process Improvement & Innovation: Provide input for new data collection methods and suggest product enhancements related to the dataset. Project Management: Participate in projects as assigned, ensuring they are completed within the specified timelines while maintaining the required quality standards. Problem Resolution: Troubleshoot issues and provide support to the team to resolve any operational challenges. Basic Qualifications: Educational Background: MBA/BBA (preferably in finance), M.Com, or ACCA. Experience: Previous experience in financial research, data analytics, or quality assurance is preferred. Skills: Strong research and analytical skills. Proficiency in clear and effective communication. Basic knowledge of SQL and VBA is preferred. Ability to manage multiple tasks and priorities simultaneously. Strong teamwork and collaboration skills, with the ability to communicate effectively with global stakeholders. Willingness to work in rotational shifts (Morning, Evening, and Night). About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we provide accurate, deep, and insightful information that empowers our clients to make confident decisions. Our team of experts delivers cutting-edge data and technology solutions, helping organizations expand their perspective, operate with confidence, and make informed decisions. Qualification : MBA/BBA (preferably in finance), M.Com, or ACCA.

About the Role: The Data Quality Measurement Team plays a key role in ensuring the accuracy, timeliness, and reliability of data used by various business units. As part of this team, the Data Content Manager will be responsible for overseeing and managing data quality activities, ensuring that data sets meet the highest standards set by the business or regulatory guidelines. The team is composed of highly skilled professionals who work together to mitigate regulatory and legal risks while delivering exceptional client experiences. The Impact: The role of the Data Content Manager has a wide-reaching impact, influencing decision-making, operational efficiency, customer satisfaction, compliance, and overall team performance. By maintaining high-quality data standards, the organization can derive greater value from its data and gain a competitive advantage. What You Stand to Gain: Professional Growth & Development: Opportunities for career advancement and skill diversification. Direct Impact on Decision-Making: Engage with market leaders, gain cultural exposure, and strengthen stakeholder management skills. Cutting-Edge Technologies & Practices: Exposure to the latest technology adoption and a culture of innovation. Key Responsibilities: Stakeholder Engagement: Work closely with stakeholders to define data quality requirements and usage needs for specific regions or business areas. Ownership of Data Quality: Lead the ongoing delivery of data quality measurement activities, with a focused concentration on a specific region or business area. Issue Identification & Remediation: Identify data quality issues, perform analysis, and escalate for resolution to ensure data accuracy and high quality. Testing & Data Audits: Perform testing on defined use cases for new technologies, deliver results, and identify sources of errors. Also, conduct data audits on new data vendors. Root Cause Analysis: Conduct root cause analysis on smaller data analysis tasks related to assigned or unfamiliar projects. Regulatory Compliance: Implement data quality processes to ensure S&P Ratings compliance with regulatory requirements. Data Querying & Correction: Perform data queries to identify and drive corrections of data inconsistencies. What We re Looking For: Experience: Typically 7-9 years of experience in a data role, with experience in a data quality role being advantageous. Technical Skills: Proficiency in technical tools such as Excel, SQL, Python, data extraction tools, and data visualization tools. Industry Knowledge: Good understanding of financial and market data, data cataloging, and AI technologies and their potential applications in data management. Data Requirements & Querying: Solid understanding of data requirements and intermediate-level data querying skills. Leadership: Ability to manage a team of 8-10 professionals effectively. Collaboration & Problem-Solving: Ability to communicate assumptions clearly, solicit feedback, and find ways to improve. Proactively manage issues and drive solutions. Project Understanding: Understand how individual tasks fit into the larger project and identify issues with requirements early. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that help market participants make confident, data-driven decisions. By providing transparency and high-quality insights into creditworthiness, we enable growth across a wide range of organizations, including businesses, governments, and institutions. As a division of S&P Global, we are the world's leading provider of credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. Our offerings help organizations navigate the economic landscape and plan for the future with confidence.

Job Description: - We seek a forward-thinking Lead Content Writer and Editor to deliver amazing content and collaborate with our internal team. As a Sr. Content Writer and Editor, you will help Rishabh continue to grow as a top publication in the software development industry. You will work with the content team to ensure that Rishabh s content is consistent, cohesive, and free of grammatical, spelling, and punctuation errors. You will be responsible for working with our team of writers and other task owners from the marketing team to edit content and provide constructive feedback to keep up with Rishabh s audience and target persona. As a Lead Content Writer and Editor, you will also be responsible for maintaining in-house content and style guidelines and will work closely with the content lead and marketing lead to create appropriate writing resources for our content team. Responsibilities: - You have at least 7+ years of professional content writing experience in a competitive environment. You will ensure that all of Rishabh s content meets the A+ quality standards. This will include proofreading, fact-checking, and source-checking, along with the usual guidelines You will ensure that each piece of content follows best practices related to Search engine optimization, Format & Layout, Readability, visuals/graphics, and interlinking articles, among others. You take operational ownership of the content schedule and have accountability for internal task management. Coordinate with marketing and design teams to illustrate articles You are familiar with and understand the purpose and content requirements of different content formats, for example, articles, eBooks, whitepapers, social media, PDFs, emailers, PR, etc. Understand Rishabh s audience inside out to flawlessly analyze and explain technical concepts with clear, concise, and engaging language. Requirements: - At least 7 years experience as a Content writer and editor. Working knowledge and experience in the software development industry is a bonus. A fearless command of the English language and impeccable grammar. Big picture thinking but also attention to detail. Translate technical data into user-focused language. Experience within B2B technology space will be highly regarded; BA or MA in English, Journalism, Technical Writing, or equivalent experience. Excellent written and verbal communication and meticulous attention to detail when proofreading your own or another team member s work. Passion for creating great user experiences with actionable knowledge of the digital landscape, including current industry and user trends, emerging technologies, and standards. Qualification : You have at least 7+ years of professional content writing experience in a competitive environment.