Hiring Senior Databricks Solutioning Experts! Our Values and Ethics At the heart of our identity At Capgemini, our Values and Ethics are at the heart of our identity. Our seven Values inspire and guide our team members, who each contribute to our ethical culture. Capgemini’s founder, Serge Kampf, was deeply convinced that sound ethics are an essential foundation for profitable and sustainable business. From the outset, this belief in doing business ethically and our commitment to our core Values has distinguished us. Our seven Values – Honesty, Boldness, Trust, Freedom, Fun, Modesty, and Team Spirit – express our personality, our spirit. While we continuously evolve our culture, our Values remain constant: we never lose sight of who we are. Profoundly entrepreneurial, we cherish and encourage individual freedoms and initiatives, within the discipline of perfect alignment with our Values.
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🎯 Day 76 || 1000 days challenge 🎯 Today, I tackled an interesting challenge: implementing linked list representation of trees. 🌳🔗 This came up as a coding question for Accenture's 2024 hiring round, and it was an exciting opportunity to apply both data structures in a new context! It’s always fascinating to see how foundational concepts like linked lists and trees can be combined to solve complex problems. 🚀Looking forward to more such challenges! #1000DaysChallenge #LinkedList #Trees #DataStructures #Accenture2024 #CodingChallenge #TechJourney #DSA
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Hi All, There's a requirement for Gafana Dashboard Specialist in Infosys. Primary Skillset - Grafana, Docker, Kubernetes The JD requires architecture level exposure with Grafana and the resource should be proficient in setting up Grafana metrics & dashboards from scratch. Experience of other DevOps & Cloud tools & technologies are also preferred. If anyone is interested with the opening, kindly notify me in the comments/inbox. #infosys #grafana #docker #kubernetes #devops #cloud #hiring
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Hare Krishna Everyone ! 🙏 #Day2 Databricks Follow the day 2 topics i have shared in this pdf if you didn't follow day 1 topics here's the link for that -- https://lnkd.in/gZhZAVpP Stay in touch and Follow me for more Karan Chadha #Azure #Azuredatabricks #databricks #transformation #etl #dataengineering #dataanalyst #dataanalysis Google Microsoft Deloitte Genpact Tata Consultancy Services Infosys Capgemini Walmart Global Tech India EY Amdocs Codebasics
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List of Databricks badges that I have added to my bucket, I will add more badges. Thanks to Cognizant and Databricks.Cognizant is the partner of Databricks. #databricks #cognizant #dataengineer
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What's going on in Tines lately? 🥇 Won HashiCorp's 2023 Emerging Partner of the Year 🏆 Came 7th in Deloitte Fast50 in Ireland 📣 Released our annual Voice of the SOC Analyst report 🚢 Shipped 20+ product updates in November alone 🎓 Hosted our second graduate recruitment day for Software Engineers, which I had the privilege of running with our Engineering Leaders (📸 below) 💫 All while welcoming amazing new talent on a weekly basis across our teams in Ireland + North America Links in the comments if you want to read more! #SmartSecureWorkflows
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Hare Krishna ! 🙋♂️ #Day3 Databricks Follow the day 3 topics 👉 (Working with Databricks Notebooks) if you didn't follow day 1 topics here's the link for that -- https://lnkd.in/gZhZAVpP if you didn't follow day 2 topics here's the link for that -- https://lnkd.in/gZQMtBZd Stay in touch and Follow me for more Karan Chadha #Azure #Azuredatabricks #databricks #transformation #etl #dataengineering #dataanalyst #dataanalysis Google Microsoft Deloitte Genpact Tata Consultancy Services Infosys Capgemini Walmart Global Tech India EY Amdocs Codebasics
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**Celebrating a Decade in the IT Industry!** Today marks a significant milestone in my professional journey – 10 years in the IT industry! 🎉 Infosys -> Siemens -> Oracle -> Epsilon Reflecting on this decade, I'm filled with gratitude and pride for the opportunities I've had, the challenges I've overcome, and the incredible people (some not so incredible) I've worked with. From SQL to .NET, from Java to DevOps, from on-prem to container, from manual to automation, and from junior developer to lead, it’s been an incredible journey. Here are a few highlights which have been going on in parallel: - Witnessing the rise and evolution of cloud computing and its transformative impact on businesses. - Exploring AI and machine learning, seeing firsthand their potential to revolutionize industries. - Embracing IoT and its role in connecting our world in new and exciting ways. - Adopting Agile and DevOps practices to enhance software development processes. - Experiencing the shift to remote work and the importance of flexibility and adaptability. - Learning about the disruptive potential of blockchain technology. This journey has been about continuous learning and growth, and I'm excited to see what the future holds. A huge thank you to my colleagues, mentors, and everyone who has been part of this incredible journey. Your support and collaboration have been invaluable. #10YearsInIT #TechJourney #Innovation #Growth #ITIndustry #Milestone #ContinuousLearning #CareerDevelopment
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🚀 𝘑𝘶𝘴𝘵 𝘊𝘰𝘮𝘱𝘭𝘦𝘵𝘦𝘥 𝘵𝘩𝘦 𝘔𝘪𝘤𝘳𝘰𝘴𝘰𝘧𝘵 𝘊𝘦𝘳𝘵𝘪𝘧𝘪𝘦𝘥: 𝘈𝘻𝘶𝘳𝘦 𝘋𝘢𝘵𝘢 𝘌𝘯𝘨𝘪𝘯𝘦𝘦𝘳 𝘈𝘴𝘴𝘰𝘤𝘪𝘢𝘵𝘦 𝘊𝘰𝘶𝘳𝘴𝘦! 🎉 I’m excited to share that I’ve just completed the Microsoft Certified: Azure Data Engineer Associate course, where I gained comprehensive expertise in integrating, transforming, and consolidating data from various structured and unstructured data systems into analytics-ready structures. This journey has equipped me with the skills and knowledge necessary to design and implement robust data engineering solutions on 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗔𝘇𝘂𝗿𝗲🌩️ 🔗 𝗪𝗵𝘆 𝗦𝗵𝗼𝘂𝗹𝗱 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀 𝗖𝗮𝗿𝗲 𝗔𝗯𝗼𝘂𝘁 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴? In today’s data-driven world, understanding the foundations of data engineering is crucial for data analysts. A solid grasp of data engineering concepts empowers analysts to work more effectively with data, ensuring that insights are derived from reliable, well-structured sources. Moreover, being proficient in cloud platforms like Azure enhances an analyst’s ability to handle complex data processing tasks, making them more versatile and valuable to organizations. 💼 💡 Key Learnings: ✅Data Storage & Processing: Mastered the design and implementation of scalable data storage solutions, and the development of data processing systems tailored to business needs. ✅Data Security: Learned best practices for securing data in Azure, ensuring compliance and safeguarding sensitive information. ✅Monitoring & Optimization: Acquired techniques to monitor and optimize data storage and processing, ensuring peak performance and efficiency. 🔍 Some important aspects I explored include: ✅Utilizing various Azure services tailored for Data Engineering. ✅Understanding the role of Azure Data Lake Gen 2 storage in modern data architectures. ✅Gaining hands-on experience with Transact-SQL commands and building data warehouses in Azure Synapse. ✅Building ETL pipelines with Azure Data Factory and crafting mapping data flows for different scenarios. ✅Streaming data with Azure Stream Analytics and applying SQL commands to manage streaming data. ✅Exploring Scala and SPARK within Azure Databricks and leveraging Notebooks for real-time data processing. ✅Implementing robust security measures and continuous monitoring when working with Azure services. #DataEngineering #AzureDataEngineer #CloudComputing #DataAnalytics #MicrosoftAzure #AzureSynapse #DataTransformation #BusinessAnalyst #ETLprocess #DataTransformation #DataVisualization Genpact Wipro Accenture in India Tech Mahindra Mindtree Mphasis Capgemini LTIMindtree Cognizant Tata Consultancy Services KPMG India Microsoft Microsoft Azure Infosys NatWest Group EY Concentrix Barclays PwC India Clarivate UST Deloitte Sapiens EXL
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🌟 Proud to share that I've successfully completed the "Introduction to Entity Relationship (ER) Modeling" course on August 20, 2024! 📊🎓 Grateful for the opportunity to expand my knowledge in database design and structure, which is crucial for any tech and data-driven industry. Looking forward to applying these skills in my ongoing projects and future endeavors. Infosys Springboard 🚀 #ContinuousLearning #DatabaseDesign #BiotechJourney #TechSkills #ERModeling
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I got rejected by Deloitte, Amazon, Capgemini & more, but I got another interview opportunity at PWC (naukri.com). 𝗦𝗵𝗮𝗿𝗶𝗻𝗴 𝗺𝘆 𝗣𝗪𝗖 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗘𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 (𝗗𝗮𝘁𝗮 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫) ⭐→ The whole interview process had 3 rounds of 1 hour each. 🔸 The first round was an extensive discussion about the projects I was handling and a few coding questions on SQL & Python. There were questions like the following: → Optimisation techniques used in projects; Issues faced in the project; Hadoop questions. 🔸 After clearing this round, I moved on to the next round, which was a Case-Study based round. I was asked scenario-based questions & the interviewer asked multiple questions on Spark, like: → Spark job process; Optimizations of spark; Sqoop interview questions. After this, I was asked a few Coding questions & SQL coding questions, which I successfully answered. 🔸 Lastly, there was a Managerial Round where I was asked a lot of technical and advanced questions like: → Architecture of spark, hive, Hadoop; Overview of MapReduce job process; Joins to use in spark; Broadcast join & lastly Different joins available. The result was a successful hire, and the whole interview process was easy for me all because of my Consistent and structured preparation.🎉 So, if you’re also looking for all-around mentorship, I’d suggest taking help from Bosscoder Academy and getting guidance from industry veterans. Check them here: https://bit.ly/49TQ2ad They can help you with: ✅ Structured curriculum to learn SQL, Data Visualization, and Machine Learning. ✅ Getting you job-ready for top companies. ✅ Personal mentorship from experienced Data professionals. ✅ Live classes, project-based learning, and access to a talented community of people with similar goals of upskilling #pwc #sponsoredpost #interviewexperience
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