9603 Extract Jobs - Page 21

We are looking for a skilled and detail-oriented Content Writer with a strong academic background in English or Literature (M.A. preferred) to join our team. The ideal candidate must be fluent in both written and spoken English and capable of creating clear, concise, and professionally written reports, summaries, and documentation for internal and external use. Key Responsibilities: Write, format, and edit professional reports , research summaries, proposals, and presentations. Collaborate with teams to understand data, extract insights, and present them in structured written form. Ensure all content is grammatically correct, well-structured, and aligned with the company’s tone and objectives. Conduct thorough research and fact-checking to support written content. Proofread and edit documents for clarity, consistency, and technical accuracy. Work closely with subject matter experts to gather necessary inputs for high-quality content. Maintain content libraries and version control for reports and official documents. Requirements: Master’s degree (M.A.) in English, Literature, Journalism, or a related field. Excellent command over English language (spoken and written) . 1–3 years of experience in professional writing, reporting, or documentation (Freshers with strong writing samples may also apply). Strong research, editing, and proofreading skills. Ability to manage multiple assignments with tight deadlines. Familiarity with MS Word, Excel, PowerPoint, and Google Docs. Preferred Skills: Experience in academic, business, or technical writing. Understanding of report structures, formatting, and tone for formal documentation. Knowledge of content management systems is a plus. Job Types: Full-time, Internship Pay: Up to ₹25,000.00 per month Language: English (Preferred) Work Location: In person Job Type: Full-time Schedule: Night shift Work Location: In person

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Microsoft Azure Databricks Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with data integration tools and techniques. - Experience in developing and maintaining data pipelines using various ETL tools. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Databricks. - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education

Location: Indore Experience: 6+ Years Work Type : Hybrid Notice Period : 0-30 Days joiners We are hiring for a Digital Transformation Consulting firm that specializes in the Advisory and implementation of AI, Automation, and Analytics strategies for the Healthcare providers. The company is headquartered in NJ, USA and its India office is in Indore, MP. Job Description: We are seeking a highly skilled Tech Lead with expertise in database management, data warehousing, and ETL pipelines to drive the data initiatives in the company. The ideal candidate will lead a team of developers, architects, and data engineers to design, develop, and optimize data solutions. This role requires hands-on experience in database technologies, data modeling, ETL processes, and cloud-based data platforms. Key Responsibilities: Lead the design, development, and maintenance of scalable database, data warehouse, and ETL solutions. Define best practices for data architecture, modeling, and governance. Oversee data integration, transformation, and migration strategies. Ensure high availability, performance tuning, and optimization of databases and ETL pipelines. Implement data security, compliance, and backup strategies. Required Skills & Qualifications: 6+ years of experience in database and data engineering roles. Strong expertise in SQL, NoSQL, and relational database management systems (RDBMS). Hands-on experience with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery). Deep understanding of ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica). Experience with cloud data platforms (AWS, Azure, GCP). Proficiency in programming/scripting languages (Python, SQL, Shell scripting). Strong problem-solving, leadership, and communication skills. Preferred Skills (Good to Have): Experience with big data technologies (Hadoop, Spark, Kafka). Knowledge of real-time data processing. Exposure to AI/ML technologies and working with ML algorithms Job Types: Full-time, Permanent Pay: ₹1,500,000.00 - ₹1,800,000.00 per year Schedule: Day shift Application Question(s): We must fill this position urgently. Can you start immediately? Have you held a lead role in the past? Experience: Extract, Transform, Load (ETL): 6 years (Required) Python: 5 years (Required) big data technologies (Hadoop, Spark, Kafka): 6 years (Required) Snowflake: 6 years (Required) Data warehouse: 6 years (Required) Location: Indore, Madhya Pradesh (Required) Work Location: In person

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Microsoft Azure Databricks Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems, contributing to the overall efficiency and reliability of data management within the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Microsoft Azure Databricks. - Good To Have Skills: Experience with data warehousing solutions. - Strong understanding of data modeling and database design principles. - Familiarity with data integration tools and techniques. - Experience in developing and maintaining data pipelines using various ETL tools. Additional Information: - The candidate should have minimum 5 years of experience in Microsoft Azure Databricks. - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education

Job Title :Estimation & Planning Engineer (Civil – Real Estate) Location: Gandhinagar, Gujarat Department : Civil Job Summary : You'll be responsible for preparing accurate cost estimates, bills of quantities (BOQs), budgets, and project schedules for real estate construction initiatives, while ensuring timely planning and coordination to support smooth execution. Key Responsibilities: Extract quantities and prepare cost estimates and BOQs from architectural/structural drawings Develop and monitor project schedules using MS Project Collaborate with vendors to gather pricing inputs and support procurement Track progress and resource utilization; update status and recovery reports Assist with tender documentation and bid preparation Qualifications & Skills Bachelor’s degree (B.E.) or Diploma in Civil Engineering Minimum 3+ years’ experience in real estate or civil construction environments Proficient in AutoCAD, Excel, and scheduling tools like MS Project Strong analytical, coordination, and communication skills . Job Type: Full-time Pay: ₹14,599.90 - ₹30,528.09 per month Benefits: Paid sick time Schedule: Day shift Supplemental Pay: Performance bonus Work Location: In person Application Deadline: 02/08/2025

Job Details Position Data Researcher/Lead Generator Industry Type IT Services Experience 1 - 3+ Years Salary (No Bar for right candidate) Job Location Ahmedabad Job Description Technource is hiring a Data Researcher / Lead Generator to identify international clients from portals like Freelancer, Upwork, and LinkedIn. The role involves extracting accurate data (especially personal phone numbers) relevant to IT services like Web & Mobile Development, AI, IoT, etc. Strong research skills and data accuracy are key — communication or presentation skills are not a priority. Experience in lead generation for IT or lead-gen companies is preferred. Describe Skill and Experience Experience in international lead generation or data mining for IT services . Strong hands-on knowledge of platforms like Freelancer, Upwork, LinkedIn, and Sales Navigator . Ability to extract accurate and valid contact details of clients, especially phone numbers and decision-maker info. Clear understanding of different client types (startup, SME, enterprise) and project types (fixed, dedicated, monthly retainer). Capable of identifying quality prospects by judging company potential and requirement type. Smart and detail-focused mindset to follow exact instructions and deliver precise outputs. English fluency and communication skills are not mandatory; data clarity and research accuracy are prioritized. Should have worked with or supported sales teams focused on international B2B services . Preferred candidates will have prior experience with product/service-based IT companies or lead generation agencies. PERKS AT TECHNOURCE Flexible work schedule Leave Encashment Health Insurance Technical and non technical training Soft - skill and personality development Rewards through Sodexo cards

Experience : 2 + Years Key Responsibilities: Design, develop, and deploy Machine Learning /Artificial Intelligent models to solve real-world problems in our software products. Collaborate with product managers, developers, and data engineers to define AI project goals and requirements. Clean, process, and analyze large datasets to extract meaningful patterns and insights. Implement and fine-tune models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Develop APIs and services to integrate AI models with production environments. Monitor model performance and retrain as needed to maintain accuracy and efficiency. Stay updated with the latest advancements in AI/ML and evaluate their applicability to our projects. Required Skills & Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field. Strong understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning). Experience with Python and ML libraries like NumPy, pandas, TensorFlow, Keras, PyTorch, Scikit-learn. Familiarity with NLP, computer vision, or time-series analysis is a plus. Experience with model deployment tools and cloud platforms (AWS/GCP/Azure) preferred. Knowledge of software engineering practices including version control (Git), testing, and CI/CD. Qualification: Prior experience working in a product-based or tech-driven startup environment. Exposure to deep learning, recommendation systems, or predictive analytics. Understanding of ethical AI practices and model interpretability Job Type: Full-time Pay: ₹12,059.95 - ₹30,307.34 per month Schedule: Day shift Work Location: In person

Job Summary: We are looking for a skilled PMO professional with 3+ years of experience to support project delivery, governance, and reporting. The ideal candidate will help drive project efficiency, ensure standard processes, and provide visibility to stakeholders through effective tracking and communication. Key Responsibilities: Track project progress, risks, and deliverables across teams Maintain documentation, reports, and dashboards Support resource planning, audits, and compliance Assist in implementing PMO best practices and tools Support program and project governance - perform project audits and reviews and extract lessons-learned. Collaborate with project managers and leadership for status updates Prepare reports for multiple stakeholders Requirements: 3+ years in project coordination or PMO roles Proficient in Zoho Projects (used at Wishtree for our Project Management) or similar Project Management tools Good to have knowledge of PowerBI for creating reports and dashboards Strong communication, documentation, and organizational skills Ability to think and work independently Strong analytical skills

Role Summary: Responsible for reviewing jewellery designs, generating accurate item codes, and preparing Bills of Materials (BOM) in the ERP system. Acts as a mediator between design and production teams. Managing old jewellery product data entry, BOM structuring, and ERP system updates, ensuring accurate and timely product information for production and costing. Responsibilities: Review CAD and physical jewellery designs for accuracy and feasibility. Create and maintain item codes and maintain structure product hierarchies in the ERP system. Generate Bills of Materials as per design and material specifications. Coordinate with design, merchandising, and manufacturing teams. Maintain accuracy and consistency in product master data. Analyze design files and extract components and specifications. Generate and update BOMs with correct materials and weights details. Maintain historical and versioned product data. Collaborate with design, QC, and inventory teams. Requirements: 1+ years experience in the jewellery industry. Proficiency in MS Excel. Strong attention to detail. Knowledge of jewellery components, standards, and costing. Excellent communication and organisational skills. Prior experience in jewellery data handling or production. Strong computer skills Excel, Google Sheets, etc. Interested candidates can directly come for interviews Location: 57, Diamond Park 3 opp Vaishali cinema, Umiyadham Rd, Surat, Gujarat 395006 Job Types: Full-time, Permanent Pay: ₹10,009.06 - ₹20,000.00 per month Benefits: Cell phone reimbursement Food provided Health insurance Leave encashment Life insurance Provident Fund Work Location: In person

Must have at least 3 years of experience in working with MS Excel and excellent command over various functions and formulas viz. VLOOKUP, HLOOKUP, Pivot Table, etc. Should be able to understand data. Extract Excel and CSV data from other software, combine multiple files and massage the data. Use various tools and processes to complete data migrations from other software packages into our product in a timely and accurate manner. Participate in detailed design and product test execution as required. Should have excellent written English and able to communicate directly with the US-based clients. Work from Office, 10:00 am to 7:00 pm, Mon to Friday Job Type: Full-time Benefits: Health insurance Provident Fund Schedule: Day shift Monday to Friday Application Question(s): Do you have experience using MS Excel functions like Hlookup, Vlookup, Pivot table etc.? Are you ready to work from Vadodara office? What will be your notice period in days? What is your expected monthly CTC? Experience: Data analytics: 4 years (Required) Work Location: In person

Job Description Position: Data Engineer Intern Location: Remote Duration: 2-6 months Company: Collegepur Type: Unpaid Internship About the Internship: We are seeking a skilled Data Engineer to join our team, with a focus on cloud data storage, ETL processes, and database/data warehouse management. If you are passionate about building robust data solutions and enabling data-driven decision-making, we want to hear from you! Key Responsibilities: 1. Design, develop, and maintain scalable data pipelines to process large datasets from multiple sources, both structured and unstructured. 2. Implement and optimize ETL (Extract, Transform, Load) processes to integrate, clean, and transform data for analytical use. 3. Manage and enhance cloud-based data storage solutions, including data lakes and data warehouses, using platforms such as AWS, Azure, or Google Cloud. 4. Ensure data security, privacy, and compliance with relevant standards and regulations. 5. Collaborate with data scientists, analysts, and software engineers to support data-driven projects and business processes. 6. Monitor and troubleshoot data pipelines to ensure efficient, real-time, and batch data processing. 7. Maintain comprehensive documentation and data mapping across multiple systems. Requirements: 1. Proven experience with cloud platforms (AWS, Azure, or Google Cloud). 2. Strong knowledge of database systems, data warehousing, and data modeling. 3. Proficiency in programming languages such as Python, Java, or Scala. 4. Experience with ETL tools and frameworks (e.g., Airflow, Informatica, Talend). 5. Familiarity with data security, compliance, and governance practices. 6. Excellent analytical, problem-solving, and communication skills. 7. Bachelor’s degree in Computer Science, Information Technology, or related field.

Date live: 07/29/2025 Business Area: See job description Area of Expertise: Data & Analytics Contract: Permanent Reference Code: JR-0000065724 Embark on a transformative journey as Valuation Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences .Our team is Responsible for leading and building automated forecasting solutions to valuate acquisition marketing investments at the partner, channel, offer, and segment level. The role will also help drive marketing investment optimization decision for the business. This role will leverage data science capabilities through operationalizing data platform and advance analytical methodologies and tools to forecast P&L and monitor model accuracy to drive the best outcome across channels and partners. To be successful in this role as a “Valuation Analyst", you should possess the following skillsets: Proficient in Python, SAS, SQL. A good knowledge of data analysis and statistical techniques (such as linear or nonlinear models, logistic regression, macroeconomic forecast, decision trees, cluster analysis and neural networks etc.). Deep understanding of Cards P&L and forecasting methodologies . Some other highly valued skills include: Experience in Credit Card / Banking, Data Science, Machine Learning and Advanced Analytics. Experience with Data visualization. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. This role is based in our Noida office. Purpose of the role To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. Accountabilities Identification and extraction of relevant data from various internal and external sources. Performing sensitivity analysis and scenario planning. Monitoring and evaluation of the performance of existing models. Development and implementation of data quality control procedures. Building and validation of quantitative models to support decision-making across different business areas. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team’s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Date live: 07/29/2025 Business Area: Analytics Centre of Excellence Area of Expertise: Data & Analytics Contract: Permanent Reference Code: JR-0000053072 Embark on a transformative journey as Decision Analyst at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. Deliver hypothesis-driven analysis to investigate key business issues relating to Barclays customers, markets, products and channels, and use this insight to drive the wider Retail and Business Bank’s agenda to create value for customers, colleagues, the community and the company. To be a successful Decision Analyst you should have experience with: Experience in creating business models, both financial and consumer behavioural. Experience in using innovative customer analysis to identify commercial opportunities. Experience of programming in SQL, and in additional computer languages (e.g. SAS, R, Python) desirable. Some other highly valued skills may include: Experience of statistical analysis techniques desirable. Practical experience of creating customer segmentation models, and running customer targeting. Practical knowledge of data warehouse and MI environments and practises. You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills. Job location of this role is Noida. Purpose of the role To extract meaningful insights from complex data sets, developing robust decision models, and presenting actionable recommendations to stakeholders across the departments. Accountabilities Identification and extraction of relevant data from various internal and external sources. Performing sensitivity analysis and scenario planning. Monitoring and evaluation of the performance of existing models. Development and implementation of data quality control procedures. Building and validation of quantitative models to support decision-making across different business areas. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively. Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Informatica MDM Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to effectively migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide innovative solutions that enhance data accessibility and usability. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to ensure efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Informatica MDM. - Good To Have Skills: Experience with data warehousing concepts and practices. - Strong understanding of data modeling techniques. - Familiarity with SQL and database management systems. - Experience in implementing data governance and data quality frameworks. Additional Information: - The candidate should have minimum 5 years of experience in Informatica MDM. - This position is based at our Bengaluru office. - A 15 years full time education is required. 15 years full time education

Data Science Intern Location: Remote Duration: 2-6 months Type: Unpaid Internship About Collegepur Collegepur is an innovative platform dedicated to providing students with comprehensive information about colleges, career opportunities, and educational resources. We are building a dynamic team of talented individuals passionate about data-driven decision-making. Job Summary We are seeking a highly motivated Data Science Intern to join our team. This role involves working on data collection, web scraping, analysis, visualization, and machine learning to derive meaningful insights that enhance our platform’s functionality and user experience. Responsibilities: Web Scraping: Collect and extract data from websites using tools like BeautifulSoup, Scrapy, or Selenium. Data Preprocessing: Clean, transform, and structure raw data for analysis. Exploratory Data Analysis (EDA): Identify trends and insights from collected data. Machine Learning: Develop predictive models for data-driven decision-making. Data Visualization: Create dashboards and reports using tools like Matplotlib, Seaborn, Power BI, or Tableau. Database Management: Work with structured and unstructured data, ensuring quality and consistency. Collaboration: Work with cross-functional teams to integrate data solutions into our platform. Documentation: Maintain records of methodologies, findings, and workflows. Requirements: Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, Mathematics, or a related field . Experience in web scraping using BeautifulSoup, Scrapy, or Selenium. Proficiency in Python/R and libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Familiarity with SQL and database management. Strong understanding of data visualization tools . Knowledge of APIs and cloud platforms (AWS, GCP, or Azure) is a plus. Excellent problem-solving and analytical skills. Ability to work independently and as part of a team. Perks and Benefits: Remote work with flexible hours . Certificate of completion and Letter of Recommendation . Performance-based LinkedIn recommendations . Opportunity to work on real-world projects and enhance your portfolio . If you are passionate about data science and web scraping and eager to gain hands-on experience, we encourage you to apply! (recruitment@collegepur.com)

About Huisong: Founded in 1998, Huisong Pharmaceuticals specializes in the R&D and manufacturing of premium-quality natural ingredients for world-leading companies in the pharmaceutical, nutraceutical, food & beverage, and personal care industries. Today, Huisong Pharmaceuticals is a global operation with an extensive and dynamic product portfolio of natural products and ingredients, remaining firm in its values of "Nature, Health, Science", and continues to advance the world of medicine and nutrition for the well-being of humanity. Official Company Website: https://www.huisongpharm.com/ Huisong Pharmaceuticals PINK HIVE CO-WORKING A-660, 2nd Floor opp. Rungta Hospital, Calgary Road, Malviya Nagar, Jaipur 302017 Job Description: Sourcing quality raw materials in line with operational requirements. Negotiating with suppliers in line with target prices and dates, ensuring on-time and on-cost delivery of quality products. Working closely with the purchasing department from China and Germany on controls of samples and deliveries, and taking the right measures. Provide holistic and honest information regarding the price, quality, quantity, and other information about the materials and suppliers. Negotiate effectively with every supplier to control cost and quality in the best interest of the company, while keeping confidential the company’s key cost, quality, and supplier information, sharing only with the supplier on a need-to-know basis. Discover and cultivate new supplier relationships during lulls to find better quality materials or suppliers. Maintain good relationships with existing suppliers in the region. Visiting suppliers on site for audits and building up current and new business relationships. Monitor the shipment process of purchased goods from start to finish. Inspecting the raw material, and timely transmission of photos and on-site conditions to the purchasing department from China. Timely processing of sourcing requests from China and finding raw materials with the highest quality-to-cost ratio. Familiar with the common entry type and registration requirements for importing into China, ensuring all procured items meet the necessary quality standards and specifications. Maintaining the supplier database, purchase records, and related documentation. Complete all other assignments given by superiors. Qualifications and Skills: Knowledge of international and domestic supplier sourcing techniques and supplier qualifications. Familiarity with basic organic regulations, such as NOP. Excellent negotiation and buying skills, being flexible. Ability to effectively communicate verbally and in writing in English. Highly organized, detail-oriented, and quality of work motivated. Education and Experience Requirements: 3+ years of experience in purchasing (of raw material, ingredients, herbal extract, or agricultural products) Bachelor's degrees in plant physiology, biology, biochemistry, pharmaceuticals, nutrition science, agriculture, or supply chain management.

Skills Required: Guidewire, SQL, and Data Visualization tools (e.g., Tableau, Power BI, Looker). Mode of work: Work from Office Experience: 3+ Years Location: Hyderabad/Pune/Coimbatore/Bangalore About the Role : We are looking for a skilled Guidewire Data Analyst to support data management, analysis, and reporting needs within Guidewire-based insurance platforms. The ideal candidate will have a deep understanding of Guidewire systems (e.g., PolicyCenter, BillingCenter, and ClaimCenter) and will work closely with stakeholders to derive actionable insights, enhance data processes, and support business objectives through detailed analysis and reporting. Responsibilities : Extract, clean, and analyze data from Guidewire systems (PolicyCenter, BillingCenter, ClaimCenter). Perform data audits and validation to ensure data accuracy and completeness. Collaborate with data engineering teams to enhance data structures and pipelines for Guidewire data. Maintain data integrity and ensure compliance with data governance policies. Work with business users, product managers, and technical teams to understand reporting needs and translate them into technical requirements. Support project implementations and upgrades involving Guidewire modules. Identify trends, anomalies, and performance issues within Guidewire workflows. Provide recommendations for optimizing business processes based on data insights. Qualifications : 3+ years of experience in data analysis and reporting, preferably within insurance or financial services. Hands-on experience with Guidewire suite (PolicyCenter, BillingCenter, ClaimCenter). Proficiency in SQL for querying large datasets. Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Familiarity with ETL tools and processes for data integration. Knowledge of data warehouses and reporting frameworks. Ability to diagnose and resolve complex technical issues efficiently. Strong written and verbal communication skills to work effectively with technical and non-technical stakeholders. Experience working in an Agile environment.

Job Title: Data Engineer (AWS QuickSight, Glue, PySpark) Location: Noida Job Summary: We are seeking a skilled Data Engineer with 4-5 years of experience to design, build, and maintain scalable data pipelines and analytics solutions within the AWS cloud environment. The ideal candidate will leverage AWS Glue, PySpark, and QuickSight to deliver robust data integration, transformation, and visualization capabilities. This role is critical in supporting business intelligence, analytics, and reporting needs across the organization. Key Responsibilities: Design, develop, and maintain data pipelines using AWS Glue, PySpark, and related AWS services to extract, transform, and load (ETL) data from diverse sources Build and optimize data warehouse/data lake infrastructure on AWS, ensuring efficient data storage, processing, and retrieval Develop and manage ETL processes to source data from various systems, including databases, APIs, and file storage, and create unified data models for analytics and reporting Implement and maintain business intelligence dashboards using Amazon QuickSight, enabling stakeholders to derive actionable insights Collaborate with cross-functional teams (business analysts, data scientists, product managers) to understand requirements and deliver scalable data solutions Ensure data quality, integrity, and security throughout the data lifecycle, implementing best practices for governance and compliance5. Support self-service analytics by empowering internal users to access and analyze data through QuickSight and other reporting tools1. Troubleshoot and resolve data pipeline issues , optimizing performance and reliability as needed Required Skills & Qualifications: Proficiency in AWS cloud services: AWS Glue, QuickSight, S3, Lambda, Athena, Redshift, EMR, and related technologies Strong experience with PySpark for large-scale data processing and transformation Expertise in SQL and data modeling for relational and non-relational databases Experience building and optimizing ETL pipelines and data integration workflows Familiarity with business intelligence and visualization tools , especially Amazon QuickSight Knowledge of data governance, security, and compliance best practices 5. Strong programming skills in Python ; experience with automation and scripting Ability to work collaboratively in agile environments and manage multiple priorities effectively Excellent problem-solving and communication skills . Preferred Qualifications: AWS certification (e.g., AWS Certified Data Analytics – Specialty, AWS Certified Developer) Good to have skills - understanding of machine learning , deep learning and Generative AI concepts, Regression, Classification, Predictive modeling, Clustering, Deep Learning

Overview Data Analyst will be responsible to partner closely with business and S&T teams in preparing final analysis reports for the stakeholders enabling them to make important decisions based on various facts and trends and lead data requirement, source analysis, data analysis, data transformation and reconciliation activities. This role will be interacting with DG, DPM, EA, DE, EDF, PO and D &Ai teams for historical data requirement and sourcing the data for Mosaic AI program to scale solution to new markets. Responsibilities Lead data requirement, source analysis, data analysis, data transformation and reconciliation activities. Partners with FP&A Product Owner and associated business SME’s to understand & document business requirements and associated needs Performs the analysis of business data requirements and translates into a data design that satisfies local, sector and global requirements Using automated tools to extract data from primary and secondary sources. Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction. Working with engineers, and business teams to identify process improvement opportunities, propose system modifications. Proactively identifies impediments and looks for pragmatic and constructive solutions to mitigate risk. Be a champion for continuous improvement and drive efficiency. Preference will be given to candidate having functional understanding of financial concepts (P&L, Balance Sheet, Cash Flow, Operating Expense) and has experience modelling data & designing data flows Qualifications Bachelor of Technology from a reputed college Minimum 8-10 years of relevant work experience on data modelling / analytics, preferably Minimum 5-6year experience of navigating data in Azure Databricks, Synapse, Teradata or similar database technologies Expertise in Azure (Databricks, Data Factory, Date Lake Store Gen2) Proficient in SQL, Pyspark to analyse data for both development validation and operational support is critical Exposure to GenAI Good Communication & Presentation skill is must for this role.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY GDS – Data and Analytics (D&A) – Cloud Architect - Manager As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for SeniorManagers (GTM +Cloud/ Big Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your Key Responsibilities Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data. Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years] Need to understand current & Future state enterprise architecture. Need to contribute in various technical streams during implementation of the project. Provide product and design level technical best practices Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions Define and develop client specific best practices around data management within a Hadoop environment or cloud environment Recommend design alternatives for data ingestion, processing and provisioning layers Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies Skills And Attributes For Success Architect in designing highly scalable solutions Azure, AWS and GCP. Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming Hands on experience with major components like cloud ETLs,Spark, Databricks Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks. Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Good knowledge in apache Kafka & Apache Flume Experience in Enterprise grade solution implementations. Experience in performance bench marking enterprise applications Experience in Data security [on the move, at rest] Strong UNIX operating system concepts and shell scripting knowledge To qualify for the role, you must have Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support Responsible for the evaluation of technical risks and map out mitigation strategies Experience in Data security [on the move, at rest] Experience in performance bench marking enterprise applications Working knowledge in any of the cloud platform, AWS or Azure or GCP Excellent business communication, Consulting, Quality process skills Excellent Consulting Skills Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain. Minimum 7 years hand-on experience in one or more of the above areas. Minimum 10 years industry experience Ideally, you’ll also have Strong project management skills Client management skills Solutioning skills What We Look For People with technical experience and enthusiasm to learn new things in this fast-moving environment What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY GDS – Data and Analytics (D&A) – Cloud Architect - Manager As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance. The opportunity We’re looking for SeniorManagers (GTM +Cloud/ Big Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team. Your Key Responsibilities Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in BCM, WAM, Insurance. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data. Need to work with client in converting business problems/challenges to technical solutions considering security, performance, scalability etc. [ 10- 15 years] Need to understand current & Future state enterprise architecture. Need to contribute in various technical streams during implementation of the project. Provide product and design level technical best practices Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions Define and develop client specific best practices around data management within a Hadoop environment or cloud environment Recommend design alternatives for data ingestion, processing and provisioning layers Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies Skills And Attributes For Success Architect in designing highly scalable solutions Azure, AWS and GCP. Strong understanding & familiarity with all Azure/AWS/GCP /Bigdata Ecosystem components Strong understanding of underlying Azure/AWS/GCP Architectural concepts and distributed computing paradigms Hands-on programming experience in Apache Spark using Python/Scala and Spark Streaming Hands on experience with major components like cloud ETLs,Spark, Databricks Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Cloudera and Databricks. Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB Good knowledge in apache Kafka & Apache Flume Experience in Enterprise grade solution implementations. Experience in performance bench marking enterprise applications Experience in Data security [on the move, at rest] Strong UNIX operating system concepts and shell scripting knowledge To qualify for the role, you must have Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution. Excellent communicator (written and verbal formal and informal). Ability to multi-task under pressure and work independently with minimal supervision. Strong verbal and written communication skills. Must be a team player and enjoy working in a cooperative and collaborative team environment. Adaptable to new technologies and standards. Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support Responsible for the evaluation of technical risks and map out mitigation strategies Experience in Data security [on the move, at rest] Experience in performance bench marking enterprise applications Working knowledge in any of the cloud platform, AWS or Azure or GCP Excellent business communication, Consulting, Quality process skills Excellent Consulting Skills Excellence in leading Solution Architecture, Design, Build and Execute for leading clients in Banking, Wealth Asset Management, or Insurance domain. Minimum 7 years hand-on experience in one or more of the above areas. Minimum 10 years industry experience Ideally, you’ll also have Strong project management skills Client management skills Solutioning skills What We Look For People with technical experience and enthusiasm to learn new things in this fast-moving environment What Working At EY Offers At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are. You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer: Support, coaching and feedback from some of the most engaging colleagues around Opportunities to develop new skills and progress your career The freedom and flexibility to handle your role in a way that’s right for you EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Company Description Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses. Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs. Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, University of Zurich, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders. Role Description As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products. You’ll analyze new opportunities and ideas, evaluate new Al/ ML models/ frameworks/ platforms , conduct experiments, develop PoCs and prototypes. As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science and machine learning, and AI. The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you. Qualifications 3 - 5 years of experience in applying data science methods to develop models that extract business value from real-world data. Deep familiarity with a range of data science methods and algorithms (time-series analysis, regression analysis, experimental design, optimization, etc.) Strong understanding of ML algorithms including areas such as deep learning, NN, NLP, and more. Experience with AI foundational models and associated architectural and solution development frameworks Proficient Knowledge of cloud platforms (e.g., AWS, Azure, GCP), ML frameworks (e.g., TensorFlow, PyTorch) and MLOps practices and platforms like MLflow. Broad understanding of data structures, data engineering and architectures. Strong communication skills and teamwork. Strong interpersonal skills, result-oriented, self-motivated, proactive, and capable of handling multiple projects. Ability to work in collaborative settings, take accountability, and stay composed under stress.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. JR56853 Engineering Technician Responsibilities And Tasks Get the passdown Capture information from supervisors and planning reports Build an action plan Implement and communicate the plan Assess and evaluate plan results Make necessary adjustments Monitor progress Maintain equipment Diagnose equipment problems and implement solutions Evaluate problems using validated detailed troubleshooting methods Ensure record keeping/documentation in equipment tracking system Perform preventive maintenance Perform calibrations on area equipment Select and utilize accurate test equipment and tools Align with standardized procedures and guidelines Stay ahead of on process and equipment procedures Keep work areas clean and organized Monitor equipment performance and address deviations Extract data from applicable sources Ensure reliability of data Measure process metrics Identify equipment inaccuracy or inefficiency Communicate trends of machine performance Contain deviation or inefficiencies Communicate information to appropriate personnel Provide communication between ES, Engineering, and Production Communicate with production to relay problems, changes, or request information as needed Provide feedback observations and data to the engineering group to help resolve chronic problems or experiments Customer Service Respond quickly and positively to all customers Reprioritize work when customer needs arise Continuous Improvement Assist engineer on projects to improve overall test equipment efficiency and effectiveness Support continuous improvement projects to improve yield Propose and execute improvement projects to desired results Perform FA analysis from PE request Adhere to and Promote Safety Identify and promptly report hazards Follow safety procedures and area work rules including proper PPE, lockout and chemical safety. Operate and maintain equipment and tools within manufacturers’ and company guidelines. Use proper lifting techniques and work in an ergonomically correct manner. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_in@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. JR58063 GEL Technican Responsibilities And Tasks Get the passdown Capture information from supervisors and planning reports Build an action plan Implement and communicate the plan Assess and evaluate plan results Make necessary adjustments Monitor progress Maintain equipment Diagnose equipment problems and implement solutions Evaluate problems using validated detailed troubleshooting methods Ensure record keeping/documentation in equipment tracking system Perform preventive maintenance Perform calibrations on area equipment Select and utilize accurate test equipment and tools Align with standardized procedures and guidelines Stay ahead of on process and equipment procedures Keep work areas clean and organized Monitor equipment performance and address deviations Extract data from applicable sources Ensure reliability of data Measure process metrics Identify equipment inaccuracy or inefficiency Communicate trends of machine performance Contain deviation or inefficiencies Communicate information to appropriate personnel Provide communication between ES, Engineering, and Production Communicate with production to relay problems, changes, or request information as needed Provide feedback observations and data to the engineering group to help resolve chronic problems or experiments Customer Service Respond quickly and positively to all customers Reprioritize work when customer needs arise Continuous Improvement Assist engineer on projects to improve overall test equipment efficiency and effectiveness Support continuous improvement projects to improve yield Propose and execute improvement projects to desired results Perform FA analysis from PE request Adhere to and Promote Safety Identify and promptly report hazards Follow safety procedures and area work rules including proper PPE, lockout and chemical safety. Operate and maintain equipment and tools within manufacturers’ and company guidelines. Use proper lifting techniques and work in an ergonomically correct manner. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities — from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_in@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron.

Your potential, unleashed. India’s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realise your potential amongst cutting edge leaders, and organisations shaping the future of the region, and indeed, the world beyond. At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters. The team Deloitte helps organizations prevent cyberattacks and protect valuable assets. We believe in being secure, vigilant, and resilient—not only by looking at how to prevent and respond to attacks, but at how to manage cyber risk in a way that allows you to unleash new opportunities. Embed cyber risk at the start of strategy development for more effective management of information and technology risks Work you’ll do Splunk Engineer role is to Administering customer’s Splunk Enterprise Security (SIEM) end to end environment. This includes use case development, log source onboarding, custom parser creation, troubleshoot Splunk issues, upgrading the Splunk environment. The key skills required are as follows: Demonstrates proven expertise as in administering Splunk Enterprise Security (SIEM) environment. Should have the following skills: • Overall experience of at least 3+ years as SIEM Splunk Enterprise Security • Splunk Certified professional having at least Splunk Admin user certification level preferrable. • Good experience in Splunk administration and troubleshooting • Experience in integration of Splunk with log sources of different types including but not limited to security devices, network devices, web applications, custom applications and so on. • Experience in tuning and troubleshooting Splunk premium apps like Enterprise Security, Phantom and UBA. • Comfortable in writing regular expression to extract fields from custom log sources. • Expertise in developing custom use cases using Splunk search language to correlate and alert on logs from multiple sources. • Hands-on experience in creating dashboard and reports using SPL queries and XML. • Good knowledge of information security and IT operations domain. • Proficiency in client and server operating systems including Linux and Windows • General networking and system troubleshooting skills (firewalls, routing, NAT, etc.) • Ability to autonomously prioritize and successfully deliver across a portfolio of projects • Good consulting skills with ability to manage client expectations Your role as AM, DM We expect our people to embrace and live our purpose by challenging themselves to identify issues that are most important for our clients, our people, and for society. In addition to living our purpose, Senior Executive across our organization must strive to be: Inspiring - Leading with integrity to build inclusion and motivation Committed to creating purpose - Creating a sense of vision and purpose Agile - Achieving high-quality results through collaboration and Team unity Skilled at building diverse capability - Developing diverse capabilities for the future Persuasive / Influencing - Persuading and influencing stakeholders Collaborating - Partnering to build new solutions Delivering value - Showing commercial acumen Committed to expanding business - Leveraging new business opportunities Analytical Acumen - Leveraging data to recommend impactful approach and solutions through the power of analysis and visualization Effective communication – Must be well abled to have well-structured and well-articulated conversations to achieve win-win possibilities Engagement Management / Delivery Excellence - Effectively managing engagement(s) to ensure timely and proactive execution as well as course correction fo the success of engagement(s) Managing change - Responding to changing environment with resilience Managing Quality & Risk - Delivering high quality results and mitigating risks with utmost integrity and precision Strategic Thinking & Problem Solving - Applying strategic mindset to solve business issues and complex problems Tech Savvy - Leveraging ethical technology practices to deliver high impact for clients and for Deloitte Empathetic leadership and inclusivity - creating a safe and thriving environment where everyone's valued for who they are, use empathy to understand others to adapt our behaviours and attitudes to become more inclusive. How you’ll grow Connect for impact Our exceptional team of professionals across the globe are solving some of the world’s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report. Empower to lead You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership. Inclusion for all At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters. Drive your career At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte. Everyone’s welcome… entrust your happiness to us Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here’s a glimpse of things that are in store for you. Interview tips We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you’re applying to. Check out recruiting tips from Deloitte professionals. *Caution against fraudulent job offers*: We would like to advise career aspirants to exercise caution against fraudulent job offers or unscrupulous practices. At Deloitte, ethics and integrity are fundamental and not negotiable. We do not charge any fee or seek any deposits, advance, or money from any career aspirant in relation to our recruitment process. We have not authorized any party or person to collect any money from career aspirants in any form whatsoever for promises of getting jobs in Deloitte or for being considered against roles in Deloitte. We follow a professional recruitment process, provide a fair opportunity to eligible applicants and consider candidates only on merit. No one other than an authorized official of Deloitte is permitted to offer or confirm any job offer from Deloitte. We advise career aspirants to exercise caution. In this regard, you may refer to a more detailed advisory given on our website at: https://www2.deloitte.com/in/en/careers/advisory-for-career-aspirants.html?icid=wn_